Data Analytics Manager (Individual Contributor)
Capital One is hiring a Data Analytics Manager (Individual Contributor). Level rates it ; you can apply on Capital One.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level lists 2,000+ other open roles at Capital One.
- The role was posted in the last few days.
AI in this role
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 schemes
- Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.
- Health: Access premium care through our private medical insurance.
- Family Support: We champion your milestones with enhanced parental leave.
A full list of our benefits is available here.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible.
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.
Capital One is committed to diversity in the workplace.If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
How we rate this
Data Analytics Manager (Individual Contributor) at Capital One rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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