Capital One-posted 3 days ago
$205,400 - $257,900/Yr
Full-time • Senior
Mclean, VA
Credit Intermediation and Related Activities

At Capital One, data is at the center of everything we do. We are seeking a visionary and talented product leader to serve as the Head of Commercial Data Standardization and Data Product Management. This is a critical leadership position that will spearhead the transformation of our data assets and data products. Your primary mission will be to unlock the power of AI by building a foundation of reliable, consistent, timely, and well-governed data. You will be responsible for defining and executing the strategy for data standardization and the active management of our commercial data products. The successful candidate will lead a team that drives the adoption of data standards, governs our data products, and ensures they serve as a reliable backbone for our next generation of intelligent applications. You will possess deep subject matter expertise in data product management, data governance, and semantic technologies. This role requires excellent problem-solving, visionary leadership, communication, and judgment to navigate a complex, fast-moving environment and drive significant organizational change.

  • Establish the Vision & Strategy: Define, socialize, and execute a comprehensive strategy for data standardization and data product management that aligns with our enterprise AI ambitions.
  • Lead a High-Performing Team: Attract, inspire, and coach a team of data product managers and ontologists, empowering them to actively manage, model and govern our data products.
  • Drive Data Transformation: Lead the charge in transforming our data landscape, establishing frameworks and processes that ensure data is treated as a critical enterprise asset.
  • Shape Enterprise Ontology: Work in close partnership with our enterprise data team to develop and implement the commercial-specific components of our data ontology, ensuring it creates a shared language and semantic understanding of our commercial data across the organization.
  • Manage High-Value Data Products: Oversee the entire lifecycle of data products, from conception and discovery to delivery and optimization, ensuring they meet the needs of data scientists, analysts, and business stakeholders.
  • Champion and Enforce Data Governance: Implement, monitor, and enforce robust data governance and quality frameworks to ensure our commercial data products are accurate, trustworthy, and secure.
  • Provide Expert Consultation: Serve as a central point of contact and consulting body for teams attempting to launch new products and solutions, providing expert advice on data product integration and adherence to data standardization.
  • Collaborate and Influence: Partner closely with senior leaders across Technology, AI/ML, and business lines to drive alignment, remove roadblocks, and ensure the successful adoption of your data products and standards.
  • Measure Success: Define and monitor key performance indicators (KPIs) and metrics to track the performance, adoption, and business impact of data products and standardization initiatives.
  • A proven track record of ideating and scaling impactful data products and platforms through active management and governance.
  • Deep knowledge of data management disciplines, including data standardization, ontology development, data governance, and data quality.
  • Experience leading organizational change and transforming how data is managed and utilized within a large enterprise.
  • An inspiring people leader with the ability to set a vision and develop teams to deliver innovative solutions.
  • Exceptional communication and storytelling skills, with the ability to present complex topics to executive audiences.
  • A strategic and tactical thinker who can identify opportunities in ambiguous contexts and align a long-term vision with iterative execution.
  • A collaborative team player with a proven ability to navigate and influence a large, matrixed organization.
  • 5+ years of your experience specifically in data product management, data governance, or enterprise data strategy.
  • Hands-on experience with ontology and knowledge graph development (e.g., RDF, OWL, SPARQL).
  • Proven experience in designing, deploying and managing data products and governance frameworks.
  • Proven experience delivering data products that directly support and enable large-scale AI and Machine Learning initiatives.
  • Experience working in an Agile environment.
  • Experience in the financial services industry.
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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