At a Glance
- Tasks: Join us to build and lead data management initiatives using AI and innovative tech.
- Company: Capital One, a forward-thinking tech company focused on customer success.
- Benefits: Enjoy a competitive salary, hybrid work model, gym access, and professional growth opportunities.
- Other info: Dynamic workplace with a focus on collaboration and career development.
- Why this job: Make a real impact by unlocking the power of data and driving innovation.
- Qualifications: Critical problem-solving skills and a passion for data management and AI technologies.
The predicted salary is between 50000 - 70000 £ per year.
About the Role
Data is at the heart of everything we do. We operate a multitude of systems that store, process and use data to support our operations, analytics and reporting, all driving us towards our business goals of helping our customers and associates succeed. Ensuring we have a thorough understanding and robust management of the data the UK business creates and uses is crucial. This is essential to ensuring our business is well managed, giving users ultimate confidence that the data they are using is available and of the highest quality.
We are seeking an energetic and forward-thinking individual to join us to help build, deliver, improve and lead on data management across the business. In this role, you will work on a variety of strategic and technical activities to solve complex problems, drive technical convergence, and safely operationalise Artificial Intelligence (AI) frameworks to unlock the power of data through excellent data management.
What You’ll Do
- AI in Data Management Strategy
- Team Capability Collaboration: Help create an AI-literate Data Management team, understanding AI tooling risks and benefits, whilst collaborating with broader analytics teams to champion key data considerations.
- Frameworks Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.
- Operationalise Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near-term value unlocks that enable end-users to self-serve through AI.
- Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.
- Technological Convergence Core Infrastructure
- Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.
- End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.
- Enterprise Integration Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies, whilst driving our broader data strategy by identifying industry maturity gaps.
- Stakeholder Engagement Risk: Collaborate with stakeholders to drive policy-compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd-line reviews.
- Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.
The Skills and Experience You Need
- Core Skills Capabilities
- Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.
- Influence Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.
- User-Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end-users self-serve, access and navigate data.
- Innovation Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, whilst acting as an ambassador for the team.
- Delivery Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value-add activities.
- Technical Knowledge Experience
- Data Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.
- AI Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.
- Cloud Infrastructure: Basic operational knowledge of Cloud data ecosystems, AWS infrastructure or modern analytical data warehouses.
- Lifecycle Management: Experience with practices supporting the data management lifecycle, including registration, usage, quality, retention and external data sharing.
- Assurance Control: Experience executing data management assessments through control performance or engaging with 2nd and 3rd-line business reviews.
Where and how you’ll work
This is a permanent position based in our Nottingham 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.
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.
Data and AI Developer in Derby employer: Capital One UK
At Capital One, we pride ourselves on being a top employer, consistently recognised for our commitment to employee growth and well-being. Our Nottingham office offers a vibrant work environment with modern amenities, a hybrid working model, and extensive professional development opportunities, including funding for external qualifications. We foster a culture of belonging, where diverse perspectives are valued, ensuring that every associate can thrive and contribute meaningfully to our mission of transforming banking for good.
