Lead Data Steward in Nottingham

Lead Data Steward in Nottingham

Nottingham Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Capital One

At a Glance

  • Tasks: Lead data governance and ensure high-quality data management for impactful business decisions.
  • Company: Join Capital One, a top-rated workplace committed to diversity and innovation.
  • Benefits: Enjoy competitive pay, extensive learning opportunities, and a supportive work environment.
  • Other info: Hybrid work model with inspiring office facilities and a culture of belonging.
  • Why this job: Make a real difference by driving data initiatives that empower teams and enhance customer experiences.
  • Qualifications: Strong communication skills and a knack for problem-solving in data management.

The predicted salary is between 60000 - 80000 £ per year.

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.

About the Role
Data sits at the very heart of everything we do at Capital One, and establishing a robust data foundation is a key enabler for our strategic initiatives across both the Enterprise and the UK division. With a multitude of systems capturing, storing, and processing data, our goal is to drive operations and analytics that help our customers and associates succeed. As we scale up our AI solutions, ensuring a thorough understanding of the data the UK business creates and uses is more crucial than ever. This role is essential for maintaining a well-managed business, giving decision-makers absolute confidence that their data is available and of the highest quality. We are seeking an energetic individual to bridge the gap between data and the wider business, delivering well-governed, impactful data that drives real value for our stakeholders.

What You'll Do

  • Champion Data Governance: Act as the focal point for data governance and stewardship within the UK business, ensuring data is managed through its entire lifecycle and treated as a true corporate asset.
  • Support Data Owners: Manage day-to-day data activities on behalf of Accountable Executives and Senior Leaders who act as the designated ‘Data Owners’.
  • Enhance Data Quality: Drive actionable improvements to data quality and enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers.
  • Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols.
  • Manage Risk & Alignment: Engage with stakeholders to agree on common data definitions, whilst proactively flagging data risks or control issues to relevant risk and governance committees.

The Skills and Experience You Need

  • Stakeholder Influence & Collaboration: Excellent communication and relationship-building skills, with a proven ability to influence across teams and drive cultural change.
  • Data Storytelling: Ability to translate complex data concepts into plain language, summarising information effectively and tailoring communications for diverse audiences.
  • Critical Thinking & Problem Solving: A natural analytical mindset with the ability to resolve complex data issues, identify trends, and take ownership of problem resolution.
  • Strategic Prioritisation: Ability to focus on high-value data tasks, piecing together data management practices to enable key strategic initiatives, including AI solutions.
  • Active Listening: Strong active listening skills to deeply understand stakeholder requirements and naturalise a data-centric culture across the division.

Desirable Experience

  • Data Frameworks: Familiarity with recognised industry data management frameworks such as DAMA or DCAM.
  • Data Modelling & Governance: Understanding of data governance principles, business glossaries, and how data flows via logical and physical data models.
  • Data Maturity Assessment: Experience evaluating data maturity and providing recommendations to align current capabilities with long-term strategic goals.
  • Technical Proficiency: Practical experience with SQL, particularly within Snowflake database environments.
  • Cloud Infrastructure: A general understanding of cloud resources, specifically AWS architectures.

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.

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.

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.

Capital One is committed to diversity in the workplace.

Lead Data Steward in Nottingham employer: Capital One

At Capital One, we pride ourselves on being a top employer, consistently recognised for our commitment to employee growth and wellbeing. Our Nottingham office offers a vibrant work environment with modern facilities, including an on-site gym and restaurant, while our hybrid work model promotes a healthy work-life balance. With extensive career development opportunities and a culture that champions diversity and inclusion, we empower our associates to thrive and make a meaningful impact in the world of lending.

Capital One

Contact Details:

Capital One Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Steward in Nottingham

Tip Number 1

Network like a pro! Reach out to current employees at Capital One on LinkedIn. Ask them about their experiences and any tips they might have for landing the Lead Data Steward role. Personal connections can give you insights that job descriptions just can't.

Tip Number 2

Prepare for the interview by brushing up on your data governance knowledge. Be ready to discuss how you've championed data quality in past roles. Use real examples to show how you can drive value for stakeholders, just like the job description mentions!

Tip Number 3

Practice your data storytelling skills! You’ll need to translate complex data concepts into plain language. Try explaining a tricky data issue to a friend or family member to see if they understand it. This will help you nail those interview questions.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Capital One team. Let’s get you that Lead Data Steward position!

We think you need these skills to ace Lead Data Steward in Nottingham

Data Governance
Data Quality Improvement
Stakeholder Influence
Data Storytelling
Critical Thinking
Problem Solving
Strategic Prioritisation

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Steward role. Highlight your experience with data governance and storytelling, as these are key skills we’re looking for!

Showcase Your Data Skills:Don’t just list your technical skills; demonstrate how you’ve used them in real-world scenarios. We want to see your problem-solving abilities and how you’ve improved data quality in past roles.

Be Authentic:Let your personality shine through! We value diversity and want to know who you are beyond your qualifications. Share your passion for data and how it drives you.

Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Capital One

Know Your Data Governance

Make sure you understand the principles of data governance and stewardship. Familiarise yourself with how data is managed throughout its lifecycle, as this will be crucial in your role. Be ready to discuss examples of how you've championed data governance in previous positions.

Master Data Storytelling

Prepare to translate complex data concepts into simple language. Think about how you can summarise your past experiences in a way that resonates with diverse audiences. Practising this skill will help you communicate effectively during the interview.

Showcase Your Stakeholder Influence

Highlight your relationship-building skills and provide examples of how you've influenced teams in the past. Capital One values collaboration, so be prepared to discuss how you've driven cultural change through effective communication.

Demonstrate Critical Thinking

Be ready to tackle hypothetical data issues during the interview. Show your analytical mindset by discussing how you've resolved complex problems in the past. This will demonstrate your ability to think critically and prioritise high-value data tasks.