Overview:
As Enterprise Data Governance Oversight Lead in Risk Management, you drive independent oversight of data governance across the enterprise and partner with senior stakeholders to elevate data governance maturity. You lead a small team and provide challenge to current practices while aligning with risk, regulatory expectations, and first-line data leadership. You operate at the intersection of governance strategy, controls, and reporting to leadership and governance committees. This role offers a meaningful chance to shape how data is governed, managed, and used in a large, data-driven organization. Compensation / Benefits leave programs adoption assistance student loan repayment programs comprehensive benefits package annual discretionary bonus eligibility incentive program participation
Responsibilities:
Provide independent oversight and challenge to enterprise data governance strategy, framework, and execution Assess effectiveness of data ownership, stewardship, and accountability models Lead independent assessments to validate data governance frameworks and controls Evaluate data quality, controls, and issue management practices for improvement Oversee data risk identification and reporting to surface insights for leadership Guide alignment with regulatory and policy expectations (privacy, retention, data use) Collaborate with first-line teams to shape strategy and improve governance maturity Deliver actionable insights to senior management and governance committees on governance effectiveness, risks, and priorities
Key requirements:
10+ years in data governance, data management, or risk oversight Experience in second line, governance, or control functions Experience establishing or overseeing enterprise data governance programs in large, complex organizations Knowledge of DCAM, AI governance, data privacy, and data management regulatory expectations (preferred) Ability to influence, advise, and challenge senior stakeholders Insurance, financial services, or regulated industry experience (preferred) Familiarity with AWS/GCP cloud stack and Data Platforms (e.g., DataBricks, RedShift) and Data Governance tools (e.g., Atlan, Anomalo) Influence and advisory skills with senior stakeholders Strategic thinking and risk-aware decision making Collaborative and cross-functional partnership AWS/GCP cloud stack (Data Platforms like DataBricks, RedShift) Data governance tools (Atlan, Anomalo) Data quality and data risk assessment