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JobsCapital One

Senior Data Product Manager

Capital One

Senior Data Product Manager

Capital One

2 Locations

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Flexible benefits

Season Ticket loans

Cycle to work scheme

Enhanced parental leave

Gym

Subsidised restaurant

Mindfulness rooms

Music rooms

Learning Budget

Gym

Learning

Required Skills

Product management

Data analysis

Strategic thinking

Communication

Stakeholder management

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

Senior Data Product Manager:

About this role

Year after year we’ve been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK’s Best Workplaces™ list.

At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We’re using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers.

We’re seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance.

What you’ll do

  • Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities

  • Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing.

  • Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value

  • Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users

  • Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience

  • Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products

  • Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions

What you’ll bring

  • Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas.

  • A track record of thought leadership and delivery across complex products or platform capabilities

  • Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication

  • Proven ability to leverage data and insight to define product strategy and customer experience

  • Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders

  • Excellent communication skills, able to engage, influence and inspire

  • Deep understanding of data applications

  • An understanding of UK regulatory landscapes and consumer lending would be desirable

Where and how you'll work

This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham.

We have a hybrid working model which gives you flexibility to work from our offices and from home.

We’re big on collaboration and connection, so you’ll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays.

Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.

What’s in it for you

  • Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation

  • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)

  • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave

  • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

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. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and up Reach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

  • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies

  • Out Front – to provide LGBTQ+ support for all associates

  • Mind Your Mind – signposting support and promoting positive mental wellbeing for all

  • Women in Tech – promoting an inclusive environment in tech

  • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

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).

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About Capital One

Capital One

A financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

10,001+

Employees

Mclean

Headquarters

$30B

Valuation

Reviews

3.2

6 reviews

Work Life Balance

2.2

Compensation

3.8

Culture

1.8

Career

2.5

Management

1.5

25%

Recommend to a Friend

Pros

Competitive compensation packages

High base salaries for roles

Performance bonuses available

Cons

Stack ranking system affecting job security

Poor interview process and communication

Mandatory office requirements

Salary Ranges

84 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$81,250

total / year

Base

$32,500

Stock

$40,625

Bonus

$8,125

$56,875

$105,625

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment (CodeSignal)

3

Recruiter Phone Screen

4

Technical Interview

5

Behavioral Interview

6

Power Day/Super Day

7

Final Round/Offer

Common Questions

Coding/Algorithm

Data Analysis

Behavioral/STAR

Technical Knowledge

System Design