Manager, Data Product Manager – Outbound Correspondence

Manager, Data Product Manager – Outbound Correspondence

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.

The US Card Outbound Correspondence platform is at the heart of delivering critical communications, from the credit cards in our customers’ wallets to their essential statements and letters. We build the cutting-edge platform capabilities that ensure these billions of pieces of correspondence are produced and delivered seamlessly.

As a Data Product Manager on the Graffiti team, you will take ownership for our existing data product and pipelines. You will work closely with business analysts, engineers, product managers, and other cross functional teams to create integrated roadmaps, prioritize development, manage releases, define metrics and key results that will drive significant customer and business value.

• Lead the Data Product Strategy and Data Governance for the Graffiti Consumer Correspondence Data Product
• Immerse yourself in understanding your customer(s) by employing empathy and design thinking to build a customer-backed product roadmap that that drives business value
• Serves as the internal and external subject matter expert for your product and its role in Capital One’s ecosystem with accountability for owning the definition of data, including its usage and constraints
• Partner closely with technology and data experts to design robust solutions, shaping the business capabilities and associated architecture necessary to drive the broader product agenda
• Owns the outcomes related to improving the reconciliation process, self healing controls and well managed improvements for Graffiti’s supplier interactions
• Partners with SCS Data Analysts, Supplier Integration, Graffiti Intelligence and Platform tenants to understand the evolving needs of our Data Consumers and Platform Tenants and develops strategies to augment the data product to ingest new data sources to meet business and operational intent
• Defines the Data Publishing Standards and Data Consumption Patterns for the data product
• Serves as a Graffiti PDS, ensuring that data exchanges and patterns remain well‑managed and in compliance
• Defines OKRs for your Data Product with a metrics‑driven strategy to maximize value of your product and iteratively adjust and refining roadmap based on inputs

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

• At least 3 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,…