Data and AI Governance Manager
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Job Description
Data and AI Governance Manager responsible for designing and embedding data and AI governance frameworks in a regulated environment. Collaborating with cross-functional teams to manage data and AI risks effectively.
Responsibilities:
- Design, embed and continuously mature the enterprise-wide framework that governs how data and AI are sourced, managed, protected and deployed
- Ensure practices align with industry standards including DCAM, NIST AI RMF and ISO 42001
- Proactively manage emerging AI and data risks
- Work closely with Data & AI engineering, Risk & Compliance, Legal and Business Units
- Lead the design and implementation of the enterprise Data & AI Governance framework
- Own & Direct development and lifecycle management of data governance policies and standards
- Partner in driving the organization's AI governance roadmap
- Define and maintain governance operating model
- Explore and integrate emerging technologies to streamline governance workflows
- Ensure ongoing alignment with FHFA and other relevant regulations
- Work with Risk, Compliance, Legal, and Internal Audit teams to identify data and AI-related risks
- Monitor the organization's DCAM assessment scores and NIST AI RMF profile
- Establish and embed enterprise data quality standards and measurement frameworks
- Facilitate the Data Governance Council and domain stewardship forums
- Collaborate with senior leaders across Business, Finance, Risk, Technology, and Legal & Compliance
- Manage & Develop a high-performing team of five governance professionals
- Define and maintain a suite of governance KPIs and KRIs reported to the VP, Data & AI on a regular basis
Requirements:
- Bachelor’s degree or equivalent required
- Minimum 8 years of progressive experience in data governance, data management, AI governance, or risk & compliance roles
- At least 3 years in a leadership or management capacity
- Minimum 3 years of direct people management experience
- Minimum of 1 year of experience designing and implementing enterprise-wide AI governance frameworks
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future.
- Demonstrated experience designing and implementing enterprise-wide data governance frameworks using DCAM, NIST AI RMF, ISO 42001, or equivalent standards
- Proven track record of managing governance programs in a regulated financial services environment
- Experience leading cross-functional governance initiatives and operating governance bodies such as Data Councils, AI Review Boards, or Stewardship Forums
- Hands-on experience with data governance tooling (e.g., Collibra, Alation, Microsoft Purview, or similar) and familiarity with AI/ML lifecycle management platforms
- Strong people management skills with a demonstrated ability to build, lead, and retain high-performing teams in a matrix organization
- Excellent stakeholder management and communication skills, with the ability to influence senior executives and translate governance concepts into business value.
Benefits:
- performance bonus
- 401k match
- healthcare coverage
- PTO
- a broad range of other benefits
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