Sr. Manager, Data Product Manager- Retail Bank Marketing and Operations

Sr. Manager, Data Product Manager
- Retail Bank Marketing and Operations at Capital One summary:

The Sr. Manager, Data Product Manager leads a team to develop and execute data-driven marketing performance products for a retail bank, transforming complex datasets into actionable insights that drive multi-million dollar marketing investments. This role is responsible for the entire product lifecycle, from strategic roadmap definition to managing robust data infrastructure, requiring both product management expertise and deep technical data knowledge.

The position emphasizes leadership, innovation, and collaboration with stakeholders to enhance customer engagement and acquisition through data-driven decision making.

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

About the Team

Retail Bank Marketing Operations and Technology is an amazing crew on the forefront of the biggest strategies influencing Capital One at the enterprise level, as well as customers and prospects everywhere. You will lead a high-performing, blended team of talented data analysts and product managers, owning the vision and execution of our marketing performance data products. Your mission is to transform vast, complex datasets into a suite of intuitive, actionable reporting tools that directly influence multi-million dollar marketing investments and enhance customer engagement and prospect acquisition across all owned and paid channels.

This is a unique opportunity to enhance the data-driven engine that powers our growth and directly impacts the bottom line by empowering leadership, marketers and analysts with crystal-clear insights.

In this role, you will be responsible for the entire product lifecycle, from defining the strategic roadmap and gathering stakeholder requirements to overseeing the development and maintenance of the robust data infrastructure that powers your products. We are seeking a visionary leader who blends a strong product mindset with deep technical data expertise and a proven track record of managing and mentoring high-achieving teams.

If you are passionate about building world-class data products and reports, influencing executive-level strategy, and fostering a culture of innovation and analytical rigor, this is the gig for you.

Capital One Product Framework

In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment

Basic Qualifications:

• At least 5 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering,…