The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
20/07/2026
Full time
The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Ecommerce AI Engineer Office location: Paddington, London Working arrangement: Hybrid Day rate: (Apply online only) Contract status: Outside IR35 Working hours: 8 hours per day Contract duration: 12 months Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements
28/07/2026
Contractor
Ecommerce AI Engineer Office location: Paddington, London Working arrangement: Hybrid Day rate: (Apply online only) Contract status: Outside IR35 Working hours: 8 hours per day Contract duration: 12 months Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements
Ecommerce AI Engineer Office Location: Paddington, London Working arrangement: Hybrid - three days per week on-site Salary Range: 45,000- 55,000 Contract Type: Permanent, full-time Working hours: 40 hours per week Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements
28/07/2026
Full time
Ecommerce AI Engineer Office Location: Paddington, London Working arrangement: Hybrid - three days per week on-site Salary Range: 45,000- 55,000 Contract Type: Permanent, full-time Working hours: 40 hours per week Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements
AI, Automation & Application Development Lead Salary - 50,000 Type of role - 12-Month FTC Location - Baston 5 Days Onsite Are you passionate about using technology to solve real business problems? We're looking for an AI, Automation & Application Development Lead to drive digital transformation across our manufacturing operations. Working directly with the Head of Operations, you'll identify manual processes, design automation solutions and develop internal applications that improve efficiency, reduce costs and modernise the way the business operates. Responsibilities Analyse operational processes and identify automation opportunities Design and develop internal business applications Build workflow automation and AI-powered solutions Integrate business systems, databases and third-party platforms Develop dashboards and reporting solutions using Power BI Replace spreadsheet-based processes with scalable digital systems Work closely with operational teams to deliver practical technology improvements Lead digital transformation initiatives from concept through implementation Required Skills Experience developing business applications or internal software Strong coding skills (Python, C#, JavaScript or similar) SQL and database knowledge API integration experience Power BI and data reporting Process automation experience Excellent stakeholder engagement skills Ability to work independently and drive change Desirable Manufacturing or industrial experience Microsoft Power Platform ERP/CRM systems AI or machine learning solutions Digital transformation projects This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo . Co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
28/07/2026
Full time
AI, Automation & Application Development Lead Salary - 50,000 Type of role - 12-Month FTC Location - Baston 5 Days Onsite Are you passionate about using technology to solve real business problems? We're looking for an AI, Automation & Application Development Lead to drive digital transformation across our manufacturing operations. Working directly with the Head of Operations, you'll identify manual processes, design automation solutions and develop internal applications that improve efficiency, reduce costs and modernise the way the business operates. Responsibilities Analyse operational processes and identify automation opportunities Design and develop internal business applications Build workflow automation and AI-powered solutions Integrate business systems, databases and third-party platforms Develop dashboards and reporting solutions using Power BI Replace spreadsheet-based processes with scalable digital systems Work closely with operational teams to deliver practical technology improvements Lead digital transformation initiatives from concept through implementation Required Skills Experience developing business applications or internal software Strong coding skills (Python, C#, JavaScript or similar) SQL and database knowledge API integration experience Power BI and data reporting Process automation experience Excellent stakeholder engagement skills Ability to work independently and drive change Desirable Manufacturing or industrial experience Microsoft Power Platform ERP/CRM systems AI or machine learning solutions Digital transformation projects This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo . Co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
27/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms.
Established, globally recognised aerospace components and systems manufacturer is seeking an experienced Mechanical/Electrical Test Engineer to join its highly regarded team of engineers on a six-month basis. You will be responsible for the testing and qualification of existing and new products to ensure they meet specification and approval requirements prior to reporting findings. The role will primarily focus on testing electrical components from a new supplier, including electrical connectivity testing. In addition, you will carry out a range of tests across multiple product lines, including temperature, fluid resistance, and pressure testing. Candidates must be able to use equipment such as a multimeter, digital transducer, and tensile test machine. You will also support the development team by suggesting improvements, providing feedback to engineers and departmental leads, and ensuring adherence to industry codes and standards, maintaining the highest levels of accuracy and quality of work. Key requirements: Experience in mechanical and/or electrical testing (ideally both) Ability to carry out product testing and produce clear, accurate reports Strong communication skills and experience working within engineering teams Knowledge of relevant aerospace codes and requirements is essential Personal qualities: Thorough and detail-focused Team player Process-driven approach Able to use initiative and suggest improvements (with appropriate consultation before implementation) Honest and open, willing to admit mistakes and seek support where needed Flexible and adaptable Strong communication and report writing skills This is an excellent opportunity to join a rapidly expanding, well-established organisation within a team that offers genuine career progression and the chance to work for a highly respected name in the industry.
27/07/2026
Seasonal
Established, globally recognised aerospace components and systems manufacturer is seeking an experienced Mechanical/Electrical Test Engineer to join its highly regarded team of engineers on a six-month basis. You will be responsible for the testing and qualification of existing and new products to ensure they meet specification and approval requirements prior to reporting findings. The role will primarily focus on testing electrical components from a new supplier, including electrical connectivity testing. In addition, you will carry out a range of tests across multiple product lines, including temperature, fluid resistance, and pressure testing. Candidates must be able to use equipment such as a multimeter, digital transducer, and tensile test machine. You will also support the development team by suggesting improvements, providing feedback to engineers and departmental leads, and ensuring adherence to industry codes and standards, maintaining the highest levels of accuracy and quality of work. Key requirements: Experience in mechanical and/or electrical testing (ideally both) Ability to carry out product testing and produce clear, accurate reports Strong communication skills and experience working within engineering teams Knowledge of relevant aerospace codes and requirements is essential Personal qualities: Thorough and detail-focused Team player Process-driven approach Able to use initiative and suggest improvements (with appropriate consultation before implementation) Honest and open, willing to admit mistakes and seek support where needed Flexible and adaptable Strong communication and report writing skills This is an excellent opportunity to join a rapidly expanding, well-established organisation within a team that offers genuine career progression and the chance to work for a highly respected name in the industry.
Job Description Job Description Role: Technology, Strategy & Advisory, Enterprise Architect Consultant Industry: Financial Services, Comms, Media & Telco, Health & Public Services Location: London, Manchester, Edinburgh Mobility: Up to 100% Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Do you enjoy using innovation, and the latest technologies to solve challenges and realise business goals? Do you enjoy working at the intersection of business and technology, where you're engaging with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of a community of Enterprise Architects that serve Accenture's clients with the best and brightest insights regarding business and technology architecture. Our mission is to drive industry and enterprise re invention, powered by Technology and Data. Our values include challenging our clients' norms, building trusted relationships, and embracing diversity as a source of creativity and inspiration. We collaborate closely with experts globally to bring the best to our clients every day and stay relevant to their changing needs. Our teams are changing businesses every day using deep industry insights, technology knowledge and innovative ideas. Positioned at the intersection of business, technology and industry, we devise creative new strategies and target architectures, based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models, and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the technology to drive business advantage and create 360 value for our clients. Our research based advice and situational analyses enable our clients to act with speed and confidence. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co creating a client's Enterprise Architecture vision, strategy, and roadmap, ensuring it aligns with business objectives Developing recommendations and translating them into actionable roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end to end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Providing EA governance to clients throughout their transformation programme to ensure that new initiatives comply with the set guidelines, without jeopardising business objectives Support in designing and governing enterprise data platform capabilities including integration and automation Supporting the creation of Enterprise Architecture Operating model definition and implementation roadmaps Completing Enterprise Architecture maturity assessment on behalf of clients Support in designing and governing enterprise AI platform capabilities Qualification We are looking for individuals who: Work within or across one of the architectural domains; Business, Application, Data and Technology Have experience working on complex digital transformation programmes; working and present across different levels of architecture abstraction; and working with multi-disciplinary teams Have experience working on mergers, acquisitions and divestments Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud / Data Platforms & AI solutions including Gen AI ; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have some or all of the below) Experience working as a solution architect or enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in TOGAF, SAFe, and/or AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With over 700,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications - Ongoing Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . . click apply for full job details
27/07/2026
Full time
Job Description Job Description Role: Technology, Strategy & Advisory, Enterprise Architect Consultant Industry: Financial Services, Comms, Media & Telco, Health & Public Services Location: London, Manchester, Edinburgh Mobility: Up to 100% Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Do you enjoy using innovation, and the latest technologies to solve challenges and realise business goals? Do you enjoy working at the intersection of business and technology, where you're engaging with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of a community of Enterprise Architects that serve Accenture's clients with the best and brightest insights regarding business and technology architecture. Our mission is to drive industry and enterprise re invention, powered by Technology and Data. Our values include challenging our clients' norms, building trusted relationships, and embracing diversity as a source of creativity and inspiration. We collaborate closely with experts globally to bring the best to our clients every day and stay relevant to their changing needs. Our teams are changing businesses every day using deep industry insights, technology knowledge and innovative ideas. Positioned at the intersection of business, technology and industry, we devise creative new strategies and target architectures, based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models, and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the technology to drive business advantage and create 360 value for our clients. Our research based advice and situational analyses enable our clients to act with speed and confidence. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co creating a client's Enterprise Architecture vision, strategy, and roadmap, ensuring it aligns with business objectives Developing recommendations and translating them into actionable roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end to end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Providing EA governance to clients throughout their transformation programme to ensure that new initiatives comply with the set guidelines, without jeopardising business objectives Support in designing and governing enterprise data platform capabilities including integration and automation Supporting the creation of Enterprise Architecture Operating model definition and implementation roadmaps Completing Enterprise Architecture maturity assessment on behalf of clients Support in designing and governing enterprise AI platform capabilities Qualification We are looking for individuals who: Work within or across one of the architectural domains; Business, Application, Data and Technology Have experience working on complex digital transformation programmes; working and present across different levels of architecture abstraction; and working with multi-disciplinary teams Have experience working on mergers, acquisitions and divestments Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud / Data Platforms & AI solutions including Gen AI ; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have some or all of the below) Experience working as a solution architect or enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in TOGAF, SAFe, and/or AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With over 700,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications - Ongoing Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . . click apply for full job details
Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working
27/07/2026
Full time
Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working
Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
27/07/2026
Full time
Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Ecommerce AI Engineer Office Location: Paddington, London Working arrangement: Hybrid - three days per week on-site Salary Range: £45,000-£55,000 Contract Type: Permanent, full-time Working hours: 40 hours per week Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, E-commerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and E-commerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce * Build and manage WordPress websites from initial concept through to launch * Integrate booking engines, payment systems, E-commerce platforms and customer portals * Improve website performance, security, accessibility, technical SEO and conversion rates * Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing * Analyse and optimise customer journeys to increase qualified leads, bookings and revenue * Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation * Develop AI assistants for websites, WhatsApp, email and other customer communication channels * Connect AI agents with CRM, booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines * Automate repetitive commercial and operational processes * Create dashboards and reporting tools covering leads, bookings, customer activity and performance * Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation * Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience * Evaluate build-versus-buy decisions and recommend appropriate tools and platforms * Help transform internal AI tools into repeatable, client-facing products * Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: * At least five years' experience across AI, software engineering, E-commerce, platform engineering or a closely related area * Strong development skills in Python and JavaScript or TypeScript * Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, E-commerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation * Experience with Opera Cloud or Opera V5 * The ability to translate commercial and operational requirements into practical technical solutions * Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: * Hospitality, travel or multi-property booking platforms * WooCommerce, Shopify or similar E-commerce technologies * HubSpot, Salesforce, Zoho or comparable CRM platforms * Django, React, Angular, AWS or other cloud and application-development technologies * WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: * Delivering effective websites, booking platforms, dashboards and AI tools * Increasing qualified leads, bookings, conversion rates and customer engagement * Reducing manual work through intelligent automation * Developing reliable AI agents with effective accuracy, monitoring and escalation processes * Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information * Applicants must be UK residents * No visa sponsorship is available for this role * This role is hybrid, with no fully remote option * Salt contact: Robert Sprigens, (see below) *Rates depend on experience and client requirements
27/07/2026
Full time
Ecommerce AI Engineer Office Location: Paddington, London Working arrangement: Hybrid - three days per week on-site Salary Range: £45,000-£55,000 Contract Type: Permanent, full-time Working hours: 40 hours per week Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, E-commerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and E-commerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce * Build and manage WordPress websites from initial concept through to launch * Integrate booking engines, payment systems, E-commerce platforms and customer portals * Improve website performance, security, accessibility, technical SEO and conversion rates * Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing * Analyse and optimise customer journeys to increase qualified leads, bookings and revenue * Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation * Develop AI assistants for websites, WhatsApp, email and other customer communication channels * Connect AI agents with CRM, booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines * Automate repetitive commercial and operational processes * Create dashboards and reporting tools covering leads, bookings, customer activity and performance * Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation * Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience * Evaluate build-versus-buy decisions and recommend appropriate tools and platforms * Help transform internal AI tools into repeatable, client-facing products * Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: * At least five years' experience across AI, software engineering, E-commerce, platform engineering or a closely related area * Strong development skills in Python and JavaScript or TypeScript * Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, E-commerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation * Experience with Opera Cloud or Opera V5 * The ability to translate commercial and operational requirements into practical technical solutions * Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: * Hospitality, travel or multi-property booking platforms * WooCommerce, Shopify or similar E-commerce technologies * HubSpot, Salesforce, Zoho or comparable CRM platforms * Django, React, Angular, AWS or other cloud and application-development technologies * WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: * Delivering effective websites, booking platforms, dashboards and AI tools * Increasing qualified leads, bookings, conversion rates and customer engagement * Reducing manual work through intelligent automation * Developing reliable AI agents with effective accuracy, monitoring and escalation processes * Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information * Applicants must be UK residents * No visa sponsorship is available for this role * This role is hybrid, with no fully remote option * Salt contact: Robert Sprigens, (see below) *Rates depend on experience and client requirements
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.
27/07/2026
Full time
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.
