Head of Data Risk Management
$175,000–$240,000 year
HybridNew York City, New York, United States or New York, United States
Job Summary
Design and implement an enterprise Data Risk Framework covering data misuse, quality, lineage, traceability, availability, transformation, replication, and AI/ML-related risks. Define and enforce controls across the data usage lifecycle and partner with Technology to map, monitor, and mitigate risks in data flows. Establish safeguards around data propagation, duplication, and shadow data usage while leading risk oversight for AI/ML model dependencies and output reliability. Lead data risk incident deep dives to ensure root cause analysis and prioritize remediation actions. Embed Data Risk into broader governance forums, collaborating across operational, technology, and model risk functions to drive risk-informed decisions.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Risk Management, Finance, or a related field, or equivalent professional experience.
- 12+ years of experience in Operational Risk, Data Governance, Data Risk, Model Risk or Technology Risk.
- Strong exposure to data platforms, analytics, and electronic trading environments.
- Extensive experience with data architectures, pipelines, AI/ML lifecycle, and trading/technology workflows.
- Strong ability to synthesize and articulate risks across systems, data flows, and business use cases, with the credibility and influence to challenge senior stakeholders and drive risk-informed decisions.
- Proven experience designing and implementing risk frameworks and controls.
- Strong knowledge of data governance, data standards and data control environments.
- Exceptional stakeholder management skills, with the ability to influence, challenge and drive outcomes across cross-functional teams.
- Demonstrated leadership in complex organizations, including building functions, leading cross-functional initiatives and driving pragmatic risk-reduction solutions.
Desired Qualifications
- AI/ML or model risk experience preferred.
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