IAG Transform UK
Purpose of the role The Material Efficiency Tools Manager is responsible for designing, deploying, and optimizing digital tools and data-driven strategies to enhance procurement, supply chain and logistics material efficiency across MRO operations within IAG and airlines (British Airways, Iberia, Aer Lingus, Vueling, LEVEL). This role ensures end-to-end visibility, cost control, and operational reliability by leveraging systems such as AMOS, SAP S/4HANA, and AI-driven analytics to optimize inventory, reduce waste, and improve supplier performance. Key Responsibilities Material Efficiency Strategy Define and implement a group wide material efficiency framework across all IAG airlines. Drive inventory optimization strategies (pooling, repair vs replaces, interchangeability). Identify and eliminate material waste, overstocking, and obsolescence risks. Align procurement strategy with fleet plans (retirements, inductions, engine programs). Digital Tools & Systems Ownership Lead development and optimization of material efficiency tools integrated with AMOS (MRO & maintenance planning) and SAP S/4HANA (procurement & contract management). Understand the implementation of AI/ML models for demand forecasting, predictive material consumption, and stock rebalancing across hubs and outstations. Ensure effective data integration between AMOS, SAP, AI, and supplier systems. Inventory & Supply Chain Optimization Propose and support a transformation toward a centralized inventory model across IAG hubs. Define improvements in turn rates, service levels (fill rate / AOG response), and inventory carrying cost. Lead smart routing and pooling strategies for spare parts management and support inter airline stock transfers within IAG OPCO procedures. Contract & Supplier Performance Optimization Master SAP contract management features to support procurement, supply chain, and logistics to detect contract leakage and align invoices with contractual scope. Understand PBH (Power by the Hour) and MRO agreements based on usage data. Collaborate with IAG Procurement and airline procurement to improve supplier metrics: lead times, repair turnaround times (TAT), and cost efficiency. Data Analytics & KPI Management Propose, define, and track key KPIs such as inventory turnover, material availability/fill rate, AOG cost impact, repair vs scrap ratio, and forecast accuracy. Build interactive dashboards for real time decision making. Translate data into actionable procurement strategies. Cross Functional Collaboration Partner with Engineering & Fleet Planning for maintenance schedules & retirements. Partner with Finance to align cost optimization and CAPEX/OPEX. Partner with IT/Data teams for system integration & AI deployment. Act as a bridge between procurement, MRO operations, and digital teams. Continuous Improvement & Innovation Lead transformation initiatives in digital twins for aircraft/material planning, automation of procurement workflows, and predictive maintenance driven procurement. Drive ProcureTech adoption with measurable ROI. Key Deliverables Propose a group wide material efficiency dashboard. Suggest a reduced inventory value without impacting service levels. Define improved contract compliance and cost savings. Recommend AI enabled forecasting and procurement planning tools. Standardize IAG MRO material management framework. Experience and Qualifications 8-12+ years in MRO procurement, supply chain and logistics management with a focus on transformation processes. Experience within airline or MRO environments (IAG, OEMs, or Tier1 suppliers). Proven ability to drive end to end projects and work across multiple stakeholders. Technical Skills Strong knowledge of AMOS (or similar MRO systems) and SAP S/4HANA (MM, Ariba, Contract Management). Expertise in data analytics (Python, SQL, PowerBI/Tableau) and AI/ML applications in supply chain. Understanding of aircraft components, rotables, consumables, and engine maintenance contracts (PBH, T&M). Core Competencies Strategic thinking with operational execution. Strong stakeholder management across multiple airlines. Data driven decision making mindset. Change management and transformation leadership. What we offer We provide a challenging career in a fast moving environment, with opportunities to work in a multicultural setting across our global offices. Our benefits include health insurance, pension, performance bonuses, and a strong focus on work/life balance. Equal Opportunity Employer IAG Transform is an equal opportunities employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Purpose of the role The Material Efficiency Tools Manager is responsible for designing, deploying, and optimizing digital tools and data-driven strategies to enhance procurement, supply chain and logistics material efficiency across MRO operations within IAG and airlines (British Airways, Iberia, Aer Lingus, Vueling, LEVEL). This role ensures end-to-end visibility, cost control, and operational reliability by leveraging systems such as AMOS, SAP S/4HANA, and AI-driven analytics to optimize inventory, reduce waste, and improve supplier performance. Key Responsibilities Material Efficiency Strategy Define and implement a group wide material efficiency framework across all IAG airlines. Drive inventory optimization strategies (pooling, repair vs replaces, interchangeability). Identify and eliminate material waste, overstocking, and obsolescence risks. Align procurement strategy with fleet plans (retirements, inductions, engine programs). Digital Tools & Systems Ownership Lead development and optimization of material efficiency tools integrated with AMOS (MRO & maintenance planning) and SAP S/4HANA (procurement & contract management). Understand the implementation of AI/ML models for demand forecasting, predictive material consumption, and stock rebalancing across hubs and outstations. Ensure effective data integration between AMOS, SAP, AI, and supplier systems. Inventory & Supply Chain Optimization Propose and support a transformation toward a centralized inventory model across IAG hubs. Define improvements in turn rates, service levels (fill rate / AOG response), and inventory carrying cost. Lead smart routing and pooling strategies for spare parts management and support inter airline stock transfers within IAG OPCO procedures. Contract & Supplier Performance Optimization Master SAP contract management features to support procurement, supply chain, and logistics to detect contract leakage and align invoices with contractual scope. Understand PBH (Power by the Hour) and MRO agreements based on usage data. Collaborate with IAG Procurement and airline procurement to improve supplier metrics: lead times, repair turnaround times (TAT), and cost efficiency. Data Analytics & KPI Management Propose, define, and track key KPIs such as inventory turnover, material availability/fill rate, AOG cost impact, repair vs scrap ratio, and forecast accuracy. Build interactive dashboards for real time decision making. Translate data into actionable procurement strategies. Cross Functional Collaboration Partner with Engineering & Fleet Planning for maintenance schedules & retirements. Partner with Finance to align cost optimization and CAPEX/OPEX. Partner with IT/Data teams for system integration & AI deployment. Act as a bridge between procurement, MRO operations, and digital teams. Continuous Improvement & Innovation Lead transformation initiatives in digital twins for aircraft/material planning, automation of procurement workflows, and predictive maintenance driven procurement. Drive ProcureTech adoption with measurable ROI. Key Deliverables Propose a group wide material efficiency dashboard. Suggest a reduced inventory value without impacting service levels. Define improved contract compliance and cost savings. Recommend AI enabled forecasting and procurement planning tools. Standardize IAG MRO material management framework. Experience and Qualifications 8-12+ years in MRO procurement, supply chain and logistics management with a focus on transformation processes. Experience within airline or MRO environments (IAG, OEMs, or Tier1 suppliers). Proven ability to drive end to end projects and work across multiple stakeholders. Technical Skills Strong knowledge of AMOS (or similar MRO systems) and SAP S/4HANA (MM, Ariba, Contract Management). Expertise in data analytics (Python, SQL, PowerBI/Tableau) and AI/ML applications in supply chain. Understanding of aircraft components, rotables, consumables, and engine maintenance contracts (PBH, T&M). Core Competencies Strategic thinking with operational execution. Strong stakeholder management across multiple airlines. Data driven decision making mindset. Change management and transformation leadership. What we offer We provide a challenging career in a fast moving environment, with opportunities to work in a multicultural setting across our global offices. Our benefits include health insurance, pension, performance bonuses, and a strong focus on work/life balance. Equal Opportunity Employer IAG Transform is an equal opportunities employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
FyrFly Venture Partners
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1 off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem solver who thrives in complex, fast paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: Lead Strategic Discovery: Identify high impact AI opportunities by running hands on workshops and aligning stakeholders. Architect AI Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. Drive Alignment: Influence customer and executive buy in through clear storytelling and solution framing. Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: Solution Ready Build Delivered: You deliver a validated AI solution ready build within 8-12 weeks that directly addresses a business critical problem. Widespread Reuse: Your assets- from prompts to orchestration logic-are leveraged by other teams and codified for scale. Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry. Enterprise Experience: 12+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. Technical Mastery: Strong grasp of LLM based systems and GenAI pipelines including prompt engineering, retrieval augmented generation (RAG), orchestration, and data modeling. Experience designing full stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands on experience with AWS, Azure, or GCP, including use of containers, infrastructure as code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code level decisions. Customer & Delivery Leadership: Comfortable operating in ambiguous, high stakes environments. Experienced in guiding cross functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: Prior work delivering AI or intelligent workflow solutions at scale. Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. Experience with SaaS platforms, enterprise data integration, and low code environments. History of converting field delivery into reusable product patterns. Proven success in deploying AI solutions that delivered tangible customer impact. Hands on experience integrating AI into enterprise SaaS platforms. Skill translating real world constraints into reusable internal tools or product enhancements. Familiarity with AI governance, compliance, and enterprise security practices. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1 off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem solver who thrives in complex, fast paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: Lead Strategic Discovery: Identify high impact AI opportunities by running hands on workshops and aligning stakeholders. Architect AI Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. Drive Alignment: Influence customer and executive buy in through clear storytelling and solution framing. Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: Solution Ready Build Delivered: You deliver a validated AI solution ready build within 8-12 weeks that directly addresses a business critical problem. Widespread Reuse: Your assets- from prompts to orchestration logic-are leveraged by other teams and codified for scale. Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry. Enterprise Experience: 12+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. Technical Mastery: Strong grasp of LLM based systems and GenAI pipelines including prompt engineering, retrieval augmented generation (RAG), orchestration, and data modeling. Experience designing full stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands on experience with AWS, Azure, or GCP, including use of containers, infrastructure as code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code level decisions. Customer & Delivery Leadership: Comfortable operating in ambiguous, high stakes environments. Experienced in guiding cross functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: Prior work delivering AI or intelligent workflow solutions at scale. Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. Experience with SaaS platforms, enterprise data integration, and low code environments. History of converting field delivery into reusable product patterns. Proven success in deploying AI solutions that delivered tangible customer impact. Hands on experience integrating AI into enterprise SaaS platforms. Skill translating real world constraints into reusable internal tools or product enhancements. Familiarity with AI governance, compliance, and enterprise security practices. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
TrustFlight
Department / Business Unit Baines Simmons /Operations Reports To Operations Director Direct Reports None Grade / Band Graduate Location UK Hybrid (Bracknell) Employment Type Full-time Budget Responsibility None Purpose of the Role TrustFlight's Operations department delivers a high volume of aviation safety training, consultancy, and compliance services to clients globally. As the business scales, the administrative and coordination burden across scheduling, travel, contracting, and client communications has grown significantly. This role exists to identify, design, and implement digital and AI-powered solutions that automate and streamline the operational workflows underpinning consultant scheduling, travel logistics, contractor management, and client-facing communications - including course joining instructions, certificates, course materials, and Microsoft Teams setup. The AI & Digital Solutions Engineer will act as the bridge between operational need and technology capability, transforming manual, repetitive processes into scalable, intelligent workflows that free the wider team to focus on high-value delivery. Whilst Operations is the primary focus, the role will also extend AI and automation capability into Business Development and Product, supporting pipeline workflows, proposal generation, and product feedback processes as the function matures. Scope & Decision Making Authority Design, build, and deploy automation solutions for agreed operational workflows using AI and no-code/low-code tooling, within a structured support framework during the initial onboarding period. Select and recommend appropriate tools and platforms for workflow automation, within agreed budget parameters and subject to IT governance sign off. Propose and pilot new digital solutions with line manager oversight, progressing toward greater autonomy as experience and confidence develop. Escalate to Operations Director for significant new vendor contracts, material changes to client facing communications, or solutions that touch personal or sensitive data. Cross functional coordination with Training Delivery, Consulting, Client Success, Business Development, and Product teams to gather requirements and implement agreed solutions. Scope covers Operations as the primary function, with cross functional remit extending to Business Development and Product from day one. Key Relationships Internal Operations Director - regular check in on priorities, solution sign off, and strategic alignment. Operations Coordinators, Admins & Consultants - day to day requirements gathering, testing, and adoption support for new workflows. IT & Engineering - technical governance, data security review, and integration support where required. Senior Leadership Team - periodic reporting on operational efficiency gains and automation ROI. Business Development Team - automation of proposal generation, CRM workflows, and pipeline reporting. Product Team - digital tooling support for product feedback loops, release communications, and internal reporting. External Training & Consultancy Clients - automated and semi automated communications for joining instructions, certificates, course materials, and Teams invitations. Contractors & Freelance Consultants - digital onboarding, contracting, scheduling notifications, and engagement management. Software & Platform Vendors - procurement, configuration, and ongoing management of automation and scheduling tools. Key Responsibilities Audit and map current operational workflows - including consultant scheduling, travel booking, contractor contracting, and client communications - to identify automation and AI opportunities. Design and build end to end digital workflows using AI tools, automation platforms, and scheduling systems to reduce manual effort across the Operations team. Implement intelligent scheduling solutions for consultant time allocation, ensuring visibility of availability, conflict resolution, and automated notifications to all parties. Automate the full client communication lifecycle for training and consultancy engagements, including generation and dispatch of joining instructions, course materials, Teams meeting invitations, and post course certificates. Build and maintain a digital contractor management workflow covering sourcing triggers, contract generation, engagement tracking, and payment milestone coordination. Own the technology stack for Operations automation - evaluating tools, managing licences, and ensuring solutions remain fit for purpose as the business evolves. Champion adoption of new digital workflows across the Operations team, providing training, documentation, and ongoing support. Monitor solution performance, identify failure points, and continuously improve automations to increase reliability and coverage. Support the Business Development team with AI assisted proposal workflows, CRM automation, and pipeline visibility tooling to accelerate the sales cycle. Collaborate with the Product team to design and implement digital solutions that streamline product feedback collection, internal reporting, and release communication processes. Key Metrics for Success Within 90 days: Full audit of operational workflows completed and an automation roadmap agreed with the Operations Director. Within 6 months: At least 3 core workflows automated (e.g. consultant scheduling notifications, client joining instructions, contractor contract generation), with measurable reduction in manual processing time of 40%. Within 12 months: End to end automation coverage across scheduling, travel coordination triggers, client communications, and contractor onboarding, delivering a quantified saving of 60 hours/week for the Operations team. Client communication error rate (wrong materials, missed invites, late certificates) reduced to Stakeholder satisfaction score of 4+/5 from internal Operations team on quality and usability of implemented solutions. Deliver at least one agreed automation solution for each of Business Development and Product within the first 12 months. AI & Digital Competency TrustFlight is an AI first organisation. Every role is expected to actively engage with AI tools and digital ways of working to drive efficiency, quality, and innovation. AI Fluency Tier Tier Profile Expectations Tier 3 AI Builder Develops and integrates AI powered solutions. Builds, fine tunes, or integrates AI/ML models and pipelines. Establishes evaluation frameworks for AI systems. Ensures responsible AI practices (fairness, transparency, data governance). Contributes to TrustFlight's AI strategy. Role Specific AI & Digital Skills Design and deploy AI assisted scheduling systems that intelligently match consultant availability to client demand, accounting for skills, location, and travel constraints. Use LLM powered tools to auto generate personalised client communications - joining instructions, Teams invites, course materials packs, and post course certificates. Build AI assisted contractor matching and contract generation workflows, reducing turnaround time from requirement to signed agreement. Apply AI tools for document classification and routing - ensuring the right materials reach the right clients at the right time. Leverage AI powered analytics to surface operational bottlenecks and recommend process improvements proactively. AI Development & Growth Complete TrustFlight's AI fluency onboarding programme within first 30 days. Share automation wins, prompt libraries, and AI use cases with the wider team on a quarterly basis. Actively participate in TrustFlight's internal AI community of practice, contributing Operations specific use cases and learnings. Competencies & Behaviours Innovation - Proactively identifies and implements technology driven improvements; comfortable experimenting with new tools and approaches. Delivery Focus - Takes ownership of solutions end to end; balances speed of iteration with stability and reliability of outputs. Collaboration - Builds trust with non technical stakeholders; listens carefully to operational needs before designing solutions. Customer Centricity - Keeps the client experience and consultant wellbeing central to every workflow decision. Analytical Thinking - Breaks down complex, multi step processes into logical components; uses data to prioritise and validate improvements. Adaptability - Thrives in a fast moving environment; adjusts priorities readily as operational needs evolve. Working Arrangements Working Hours 37.5 hours per week, core hours 09:00-17:00 Work Pattern Hybrid - minimum 3 days office (Bracknell) for first 6 months, 2-3 days thereafter Travel Requirements None Anticipated On Call / Shift Work None Special Conditions Right to work in the UK required Required Qualifications & Experience A degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related technical discipline - achieved or expected at 2:1 or above. Demonstrated academic study of AI and machine learning concepts, including LLMs, automation, or intelligent systems - evidenced through coursework, dissertations, modules, or equivalent self directed learning. . click apply for full job details
Department / Business Unit Baines Simmons /Operations Reports To Operations Director Direct Reports None Grade / Band Graduate Location UK Hybrid (Bracknell) Employment Type Full-time Budget Responsibility None Purpose of the Role TrustFlight's Operations department delivers a high volume of aviation safety training, consultancy, and compliance services to clients globally. As the business scales, the administrative and coordination burden across scheduling, travel, contracting, and client communications has grown significantly. This role exists to identify, design, and implement digital and AI-powered solutions that automate and streamline the operational workflows underpinning consultant scheduling, travel logistics, contractor management, and client-facing communications - including course joining instructions, certificates, course materials, and Microsoft Teams setup. The AI & Digital Solutions Engineer will act as the bridge between operational need and technology capability, transforming manual, repetitive processes into scalable, intelligent workflows that free the wider team to focus on high-value delivery. Whilst Operations is the primary focus, the role will also extend AI and automation capability into Business Development and Product, supporting pipeline workflows, proposal generation, and product feedback processes as the function matures. Scope & Decision Making Authority Design, build, and deploy automation solutions for agreed operational workflows using AI and no-code/low-code tooling, within a structured support framework during the initial onboarding period. Select and recommend appropriate tools and platforms for workflow automation, within agreed budget parameters and subject to IT governance sign off. Propose and pilot new digital solutions with line manager oversight, progressing toward greater autonomy as experience and confidence develop. Escalate to Operations Director for significant new vendor contracts, material changes to client facing communications, or solutions that touch personal or sensitive data. Cross functional coordination with Training Delivery, Consulting, Client Success, Business Development, and Product teams to gather requirements and implement agreed solutions. Scope covers Operations as the primary function, with cross functional remit extending to Business Development and Product from day one. Key Relationships Internal Operations Director - regular check in on priorities, solution sign off, and strategic alignment. Operations Coordinators, Admins & Consultants - day to day requirements gathering, testing, and adoption support for new workflows. IT & Engineering - technical governance, data security review, and integration support where required. Senior Leadership Team - periodic reporting on operational efficiency gains and automation ROI. Business Development Team - automation of proposal generation, CRM workflows, and pipeline reporting. Product Team - digital tooling support for product feedback loops, release communications, and internal reporting. External Training & Consultancy Clients - automated and semi automated communications for joining instructions, certificates, course materials, and Teams invitations. Contractors & Freelance Consultants - digital onboarding, contracting, scheduling notifications, and engagement management. Software & Platform Vendors - procurement, configuration, and ongoing management of automation and scheduling tools. Key Responsibilities Audit and map current operational workflows - including consultant scheduling, travel booking, contractor contracting, and client communications - to identify automation and AI opportunities. Design and build end to end digital workflows using AI tools, automation platforms, and scheduling systems to reduce manual effort across the Operations team. Implement intelligent scheduling solutions for consultant time allocation, ensuring visibility of availability, conflict resolution, and automated notifications to all parties. Automate the full client communication lifecycle for training and consultancy engagements, including generation and dispatch of joining instructions, course materials, Teams meeting invitations, and post course certificates. Build and maintain a digital contractor management workflow covering sourcing triggers, contract generation, engagement tracking, and payment milestone coordination. Own the technology stack for Operations automation - evaluating tools, managing licences, and ensuring solutions remain fit for purpose as the business evolves. Champion adoption of new digital workflows across the Operations team, providing training, documentation, and ongoing support. Monitor solution performance, identify failure points, and continuously improve automations to increase reliability and coverage. Support the Business Development team with AI assisted proposal workflows, CRM automation, and pipeline visibility tooling to accelerate the sales cycle. Collaborate with the Product team to design and implement digital solutions that streamline product feedback collection, internal reporting, and release communication processes. Key Metrics for Success Within 90 days: Full audit of operational workflows completed and an automation roadmap agreed with the Operations Director. Within 6 months: At least 3 core workflows automated (e.g. consultant scheduling notifications, client joining instructions, contractor contract generation), with measurable reduction in manual processing time of 40%. Within 12 months: End to end automation coverage across scheduling, travel coordination triggers, client communications, and contractor onboarding, delivering a quantified saving of 60 hours/week for the Operations team. Client communication error rate (wrong materials, missed invites, late certificates) reduced to Stakeholder satisfaction score of 4+/5 from internal Operations team on quality and usability of implemented solutions. Deliver at least one agreed automation solution for each of Business Development and Product within the first 12 months. AI & Digital Competency TrustFlight is an AI first organisation. Every role is expected to actively engage with AI tools and digital ways of working to drive efficiency, quality, and innovation. AI Fluency Tier Tier Profile Expectations Tier 3 AI Builder Develops and integrates AI powered solutions. Builds, fine tunes, or integrates AI/ML models and pipelines. Establishes evaluation frameworks for AI systems. Ensures responsible AI practices (fairness, transparency, data governance). Contributes to TrustFlight's AI strategy. Role Specific AI & Digital Skills Design and deploy AI assisted scheduling systems that intelligently match consultant availability to client demand, accounting for skills, location, and travel constraints. Use LLM powered tools to auto generate personalised client communications - joining instructions, Teams invites, course materials packs, and post course certificates. Build AI assisted contractor matching and contract generation workflows, reducing turnaround time from requirement to signed agreement. Apply AI tools for document classification and routing - ensuring the right materials reach the right clients at the right time. Leverage AI powered analytics to surface operational bottlenecks and recommend process improvements proactively. AI Development & Growth Complete TrustFlight's AI fluency onboarding programme within first 30 days. Share automation wins, prompt libraries, and AI use cases with the wider team on a quarterly basis. Actively participate in TrustFlight's internal AI community of practice, contributing Operations specific use cases and learnings. Competencies & Behaviours Innovation - Proactively identifies and implements technology driven improvements; comfortable experimenting with new tools and approaches. Delivery Focus - Takes ownership of solutions end to end; balances speed of iteration with stability and reliability of outputs. Collaboration - Builds trust with non technical stakeholders; listens carefully to operational needs before designing solutions. Customer Centricity - Keeps the client experience and consultant wellbeing central to every workflow decision. Analytical Thinking - Breaks down complex, multi step processes into logical components; uses data to prioritise and validate improvements. Adaptability - Thrives in a fast moving environment; adjusts priorities readily as operational needs evolve. Working Arrangements Working Hours 37.5 hours per week, core hours 09:00-17:00 Work Pattern Hybrid - minimum 3 days office (Bracknell) for first 6 months, 2-3 days thereafter Travel Requirements None Anticipated On Call / Shift Work None Special Conditions Right to work in the UK required Required Qualifications & Experience A degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related technical discipline - achieved or expected at 2:1 or above. Demonstrated academic study of AI and machine learning concepts, including LLMs, automation, or intelligent systems - evidenced through coursework, dissertations, modules, or equivalent self directed learning. . click apply for full job details