Sagacity
Sagacity is in a major phase of growth and key to this is continuing to meet the change demands of the solutions we deliver for our clients. As Technical Change and Delivery Manager, you will own the processes that let us move at pace and with control across our IT landscape (change control, defect resolution and compliance) to deliver value for our clients. This will be underpinned by owning the governance and planning that makes all three tick. Alongside this you will lead the delivery of our internal change programme, from tooling rollouts to security and migration work. This is a role with real ownership and visibility. You will work directly with our Head of IT, Head of Service Operations, PMO Manager and delivery leads across the business, with the mandate to shape how these processes run - not just administer them. Responsibilities Technical Change, Defects & Compliance Own the end-to-end Change Control Notice (CCN) process for our clients' live solutions - from change design and estimation through to development, testing and deployment Own defect resolution end-to-end, coordinating triage, prioritisation, routing and resolution within SLA, with root causes fixed so issues do not recur Support ISO 27001 and Cyber Essentials Plus compliance activity with the Head of IT - tracking remediation actions to closure and capturing audit-ready evidence Internal Change Delivery Lead internal IT projects from initiation to closure, with the efficiency and control to deliver the benefits case Run delivery cadences and ceremonies that keep teams focused and value flowing Lead by unblocking issues, protect our teams' focus, manage the backlog and clear obstacles before they impact delivery Resource Planning & Governance Forecast demand and balance resource across change, defect and compliance work so commitments are consistently met Maintain a clear portfolio view, with weekly reporting on status, risks and issues that feeds our wider business reporting Improve our governance, processes and tooling, and coach the team on agile ways of working What success looks like in the role Change flows through the business predictably, with timely reporting into local and wider business governance to ensure the picture is always clear Defects are resolved quickly, within SLA and with control to ensure first time resolution and recurring issues are the exception Compliance actions are closed promptly and evidenced end-to-end, so we are consistently audit-ready Our teams have a sustainable cadence, clarity on priorities and the support to do their best work Internal projects are delivered on time, unlocking value as they go and providing long-term improvement to our teams' capability Identify improvements to our processes that drive efficiency through practical, well-adopted changes to tooling and ways of working Build strong relationships within the IT team and wider business, providing knowledge transfer and peer reviews to contribute to a culture of continuous improvement Competencies & Behaviours Experience and Knowledge 5+ years in project or delivery management, ideally in a consultancy, data or technology services business Proven ownership of change control or equivalent commercial governance processes in a technical environment Service management grounding (ITIL or equivalent) Experience of internal IT or transformation projects - tooling rollouts, security programmes, migrations Familiarity with ISO 27001, Cyber Essentials or SOC 2 A recognised delivery qualification - Prince2, APM PMQ, PMP, or a Scrum/agile equivalent Delivery and Leadership Strong resource and capacity planning across competing priorities Strong governance and risk management with the judgement to apply proportionate controls without creating unnecessary bureaucracy Excellent prioritisation and decision-making, able to balance competing client, operational, compliance and internal change demands Commercially aware, with an understanding of how change control, scope, resource and delivery decisions impact clients Credible with technical, commercial and executive stakeholders Able to influence without authority and drive action across teams Strong problem-solving and root-cause analysis, resolving underlying issues rather than repeatedly managing symptoms Comfortable operating in ambiguity, able to bring structure and momentum to projects where requirements, priorities or dependencies are evolving Continuous improvement mindset, with a track record of simplifying processes and embedding ways of working that teams actually adopt Tools and Ways of Working Hands-on experience with Scrum, Kanban and traditional project methodologies Comfortable with project and agile tooling: Jira, ClickUp, MS Project, Smartsheet or equivalent Confident with Microsoft 365 (Excel, PowerPoint, SharePoint, Teams) for project artefacts and reporting Highly numerate, with strong attention to detail Solutions-oriented, with natural problem-solving instincts Organised and pro-active - you prioritise well and stay calm under pressure An excellent communicator, written and verbal, comfortable influencing others A team player: personable, adaptable and genuinely curious Committed to your own development, and to helping others grow Applicants must have the right to work in the UK. Some UK travel may be required.
Sagacity is in a major phase of growth and key to this is continuing to meet the change demands of the solutions we deliver for our clients. As Technical Change and Delivery Manager, you will own the processes that let us move at pace and with control across our IT landscape (change control, defect resolution and compliance) to deliver value for our clients. This will be underpinned by owning the governance and planning that makes all three tick. Alongside this you will lead the delivery of our internal change programme, from tooling rollouts to security and migration work. This is a role with real ownership and visibility. You will work directly with our Head of IT, Head of Service Operations, PMO Manager and delivery leads across the business, with the mandate to shape how these processes run - not just administer them. Responsibilities Technical Change, Defects & Compliance Own the end-to-end Change Control Notice (CCN) process for our clients' live solutions - from change design and estimation through to development, testing and deployment Own defect resolution end-to-end, coordinating triage, prioritisation, routing and resolution within SLA, with root causes fixed so issues do not recur Support ISO 27001 and Cyber Essentials Plus compliance activity with the Head of IT - tracking remediation actions to closure and capturing audit-ready evidence Internal Change Delivery Lead internal IT projects from initiation to closure, with the efficiency and control to deliver the benefits case Run delivery cadences and ceremonies that keep teams focused and value flowing Lead by unblocking issues, protect our teams' focus, manage the backlog and clear obstacles before they impact delivery Resource Planning & Governance Forecast demand and balance resource across change, defect and compliance work so commitments are consistently met Maintain a clear portfolio view, with weekly reporting on status, risks and issues that feeds our wider business reporting Improve our governance, processes and tooling, and coach the team on agile ways of working What success looks like in the role Change flows through the business predictably, with timely reporting into local and wider business governance to ensure the picture is always clear Defects are resolved quickly, within SLA and with control to ensure first time resolution and recurring issues are the exception Compliance actions are closed promptly and evidenced end-to-end, so we are consistently audit-ready Our teams have a sustainable cadence, clarity on priorities and the support to do their best work Internal projects are delivered on time, unlocking value as they go and providing long-term improvement to our teams' capability Identify improvements to our processes that drive efficiency through practical, well-adopted changes to tooling and ways of working Build strong relationships within the IT team and wider business, providing knowledge transfer and peer reviews to contribute to a culture of continuous improvement Competencies & Behaviours Experience and Knowledge 5+ years in project or delivery management, ideally in a consultancy, data or technology services business Proven ownership of change control or equivalent commercial governance processes in a technical environment Service management grounding (ITIL or equivalent) Experience of internal IT or transformation projects - tooling rollouts, security programmes, migrations Familiarity with ISO 27001, Cyber Essentials or SOC 2 A recognised delivery qualification - Prince2, APM PMQ, PMP, or a Scrum/agile equivalent Delivery and Leadership Strong resource and capacity planning across competing priorities Strong governance and risk management with the judgement to apply proportionate controls without creating unnecessary bureaucracy Excellent prioritisation and decision-making, able to balance competing client, operational, compliance and internal change demands Commercially aware, with an understanding of how change control, scope, resource and delivery decisions impact clients Credible with technical, commercial and executive stakeholders Able to influence without authority and drive action across teams Strong problem-solving and root-cause analysis, resolving underlying issues rather than repeatedly managing symptoms Comfortable operating in ambiguity, able to bring structure and momentum to projects where requirements, priorities or dependencies are evolving Continuous improvement mindset, with a track record of simplifying processes and embedding ways of working that teams actually adopt Tools and Ways of Working Hands-on experience with Scrum, Kanban and traditional project methodologies Comfortable with project and agile tooling: Jira, ClickUp, MS Project, Smartsheet or equivalent Confident with Microsoft 365 (Excel, PowerPoint, SharePoint, Teams) for project artefacts and reporting Highly numerate, with strong attention to detail Solutions-oriented, with natural problem-solving instincts Organised and pro-active - you prioritise well and stay calm under pressure An excellent communicator, written and verbal, comfortable influencing others A team player: personable, adaptable and genuinely curious Committed to your own development, and to helping others grow Applicants must have the right to work in the UK. Some UK travel may be required.
Sagacity
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
