Senior Risk Manager, Card Data Governance & Automation

Capital One; Richmond (VA); On-site; USD 138,000 - 158,000; Full time

Benefits offered by this job

Incentive compensation

Job summary

Capital One’s Card Data Management team seeks a Risk Manager to partner with card data producers and consumers, ensuring high-quality data and strong governance. You will design scalable controls, monitor risk, and drive cross-functional improvements across data platforms while collaborating with eData to explore tooling options.

Ideal candidates bring a background in data risk, compliance, and process management within a financial services setting, with a track record of delivering automated,

Qualifications

• 4+ years of Compliance, Legal, Audit, or Risk Management in support of financial services, cyber, technology, or data management.
• 3+ years of Project or Process Management experience.
• 3+ years of experience partnering with internal business clients.

Responsibilities

• Lead risk, governance, and compliance management activities for High Priority Data, including HPUs, Data Products, and Authoritative Sources.
• Partner with data producers and consumers to drive data management, compliance, and governance activities.
• Design, develop, and implement scalable routines, procedures, and repeatable processes for consistent HPU risk management.
• Design, develop, and improve Card’s data management controls and evaluate control effectiveness.
• Maintain a strategic view of the control environment and drive enhancements.
• Build relationships and collaborate with key stakeholders.

Skills

Risk management

Compliance

Governance

Cross-functional collaboration

Data quality

Education

Bachelor's Degree

Tools

PMP

Lean

Agile

Six Sigma

Job description

Capital One’s Card Data Management team seeks a Risk Manager to partner with card data producers and consumers, ensuring high-quality data and strong governance. You will design scalable controls, monitor risk, and drive cross-functional improvements across data platforms while collaborating with eData to explore tooling options.

Ideal candidates bring a background in data risk, compliance, and process management within a financial services setting, with a track record of delivering automated,