Senior Manager, Enterprise Risk Data Management

Capital One Capital One · Banking · McLean, VA +4

Senior Manager role focused on Enterprise Risk Data Management within a financial services company. The role acts as a Second Line Risk Advisor, providing expertise on data risk management to business and technology partners. Key responsibilities include conducting risk assessments, ensuring alignment with regulatory requirements and enterprise risk appetite, embedding data management best practices, and influencing technology roadmaps for data risk controls. The role also involves gap assessments, recommendations, and collaboration on metadata, data quality, and governance initiatives.

What you'd actually do

  1. Build strong relationships with business and technology partners to become a trusted data risk advisor, providing insight into data management risks, guidance on technical control needs to manage data, and shaping risk mitigation strategies across the enterprise.
  2. As a member of the 2nd line tech and data risk oversight team, conduct thorough risk assessments, data process and control design, and advocate for process excellence to enhance the organization’s data management risk posture.
  3. Identify opportunities to embed data risk management best practices within business operations, influencing stakeholders to adopt proactive risk management measures through technical and data driven solutions.
  4. Collaborate with Product and Technology teams to ensure data management controls are incorporated into technical product roadmaps, driving effective risk mitigation in new and existing platforms.
  5. Perform gap assessments to identify weaknesses in current data management controls/processes, technical designs, architecture data flow diagrams, and propose actionable recommendations to drive organizational transformation and compliance.

Skills

Required

  • data management
  • data governance
  • risk management
  • FinTech
  • Financial Services
  • Technology organization
  • verbal communication
  • written communication

Nice to have

  • Master’s Degree in Business Management, Finance, Accounting, Economics, or Mathematics
  • leading cross-functional teams
  • overseeing metadata management
  • data quality

What the JD emphasized

  • regulatory requirements
  • data risk management
  • data management practices
  • risk assessments
  • data risk controls
  • metadata management
  • data quality
  • data governance