Data and AI Governance Manager
U.S. Financial Technology · United States · 3 wk ago
RemoteRemoteEngineering$181k–$206k/yrFull-time
Responsibilities
- Lead the design, implementation, and continuous improvement of the enterprise Data & AI Governance framework, aligned to DCAM maturity levels, NIST AI RMF core functions, and ISO 42001 requirements.
- Own & Direct the development and lifecycle management of data governance policies, AI governance standards, data quality rules, and metadata management practices across all business domains.
- Partner in driving the organization's AI governance roadmap, ensuring AI systems are inventoried, risk-classified, and governed through structured review and approval processes prior to deployment.
- Define and maintain a clear governance operating model, including data stewardship accountabilities, decision rights, escalation paths, and governance council structures.
- Explore and integrate emerging technologies, including AI, to streamline governance workflows, improve metadata curation and strengthen quality and compliance monitoring.
- Risk, Compliance & Regulatory Alignment
- Ensure ongoing alignment with FHFA and other relevant regulations and emerging AI-specific regulatory requirements across all jurisdictions of operation.
- Partner with Risk, Compliance, Legal, and Internal Audit teams to identify data and AI-related risks, define controls, and ensure gaps are tracked and remediated in a timely manner.
- Monitor the organization's DCAM assessment scores and NIST AI RMF profile, conducting periodic gap analyses and preparing executive-level maturity reports for the VP, Data & AI and senior stakeholders.
- Champion responsible and ethical AI practices, including fairness, explainability, transparency, and accountability requirements in alignment with ISO 42001 and internal AI ethics principles.
- Data Quality & Stewardship
- Establish and embed enterprise data quality standards and measurement frameworks, working with Data Stewards across business domains to drive accountability and remediation.
- Oversee data classification, critical data element identification, metadata management, and Collibra DIC management to ensure consistent governance across all data domains.
- Facilitate the Data Governance Council and domain stewardship forums, preparing agenda, tracking actions, and ensuring governance decisions are documented and communicated effectively.
- Stakeholder Engagement & Culture
- Collaborate with senior leaders across Business, Finance, Risk, Technology, and Legal & Compliance to gain buy-in, embed governance accountabilities, and resolve cross-functional data and AI governance issues.
- Advocate for a data-literate and AI-responsible culture by developing awareness programs, training curricula, and communication strategies that build governance knowledge across the organization.
- Influence product and technology decisions by providing governance counsel during the design and procurement of data systems, AI platforms, and third-party AI tools.
- Team Leadership & Development
- Manage & Develop a high-performing team of five governance professionals, setting clear objectives, providing coaching, conducting performance reviews, and fostering an inclusive and collaborative team culture.
- Allocate team capacity and resources effectively across governance tasks and initiatives, ensuring delivery against agreed milestones and outcomes.
- Mentor team members on data governance methodologies, AI risk concepts, and industry frameworks to build internal capability and career growth.
- Develop and manage the annual budget for the data governance team, optimizing investment across tools - for example metrics dashboard, AWS expenses, training etc.
- Bachelor’s degree or equivalent required.
- Minimum 8 years of progressive experience in data governance, data management, AI governance, or risk & compliance roles, with 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.
Qualifications
Pay Range
$181,000 to $205,500