Data Analytics Manager (Individual Contributor)

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Analytics Manager (Individual Contributor) Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. About the Role • Shape the future of UK Data by embedding data architecture, governance, and business context right at the inception of major strategic initiatives. • Champion semantic clarity and data lineage, building the foundational metadata layer required for modern AI and agentic tooling to safely consume enterprise data. • Translate complex, ambiguous commercial intent across marketing, decisioning, and MI into robust, scalable, and buildable data requirements. • Lead high-impact initiatives as a senior individual contributor, delivering strategic influence and technical authority without direct people management. • Design and deliver reusable data services that eliminate repetitive build cycles and establish high-quality data practices as the effortless organisational standard. What you’ll do • Partner with cross-functional project teams at inception to establish data requirements, lineage, and governance before solutions are finalised. • Capture semantic definitions and conceptual relationships from day one, establishing an AI-ready data catalogue rather than relying on retrospective clean-ups. • Collaborate with commercial teams to deliver data solutions such as Reporting, Decisioning, and MI to translate business ambitions into dependable data services. • Design, engineer, and promote reusable data services and products to ensure teams across the business do not reinvent data infrastructure from scratch. • Act as a trusted, authoritative voice for Data in non-technical and executive forums, minimising project delivery risk and late-stage rework. The skills and experience you need • Extensive experience in data analysis, data strategy, or data management within large, complex, and fast-paced enterprise environments. • Proven track record operating as a senior individual contributor, driving outcomes, building credibility, and influencing senior stakeholders without direct reporting lines. • Strong practical knowledge of semantic data modelling, metadata management, and data cataloguing principles essential for AI-ready data ecosystems. • Proficiency in SQL and Python, alongside practical working familiarity with AWS cloud services (exposure to Java is an advantageous bonus). • Demonstrated ability to translate ambiguous commercial strategy into concrete technical requirements, with an awareness of agentic AI tooling and modern workflows. Where and how you'll work This is a permanent position based in our Nottingham or London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What’s in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: • Wealth & Future: Competitive pension and performance-based bonus sc