[Remote] Data and AI Governance Manager
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Data and AI Governance Manager to join their team. This leadership role involves designing and maturing the reputed company-wide reputed company for data and AI governance, ensuring alignment with industry standards while managing risks and compliance in a highly regulated financial services environment.
Responsibilities
- reputed company the design, implementation, and reputed company improvement of the reputed company Data & AI Governance reputed company, reputed company to DCAM maturity reputed company, NIST AI RMF reputed company functions, and ISO 42001 requirements
- Own & reputed company the development and lifecycle management of data governance policies, AI governance standards, data reputed company rules, and metadata management practices across reputed company business domains
- Partner in driving the organization's AI governance roadmap, ensuring AI systems are inventoried, risk-classified, and governed through reputed company review and approval processes prior to deployment
- Define and maintain a reputed company governance operating model, including data stewardship accountabilities, decision rights, escalation paths, and governance council structures
- Explore and reputed company emerging technologies, including AI, to streamline governance workflows, improve metadata curation and strengthen reputed company and compliance monitoring
- Ensure ongoing alignment with FHFA and other relevant regulations and emerging AI-specific regulatory requirements across reputed company jurisdictions of operation
- Partner with Risk, Compliance, reputed company, and Internal Audit teams to identify data and AI-reputed company risks, define controls, and ensure gaps are tracked and remediated in a reputed company 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
- Establish and reputed company reputed company data reputed company standards and measurement frameworks, working with Data Stewards across business domains to drive accountability and remediation
- reputed company data classification, critical data reputed company identification, metadata management, and reputed company DIC management to ensure consistent governance across reputed company data domains
- Facilitate the Data Governance Council and domain stewardship forums, preparing agenda, tracking actions, and ensuring governance reputed company are documented and communicated effectively
- Collaborate with senior leaders across Business, Finance, Risk, Technology, and reputed company & Compliance to reputed company buy-in, reputed company governance accountabilities, and resolve cross-functional data and AI governance issues
- reputed company 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 reputed company by providing governance counsel during the design and procurement of data systems, AI platforms, and reputed company-party AI tools
- Manage & reputed company a high-performing team of five governance professionals, setting reputed company objectives, providing coaching, conducting performance reviews, and fostering an inclusive and reputed company team culture
- reputed company team reputed company and resources effectively across governance tasks and initiatives, ensuring delivery against agreed milestones and reputed company
- Mentor team members on data governance methodologies, AI risk concepts, and industry frameworks to build internal capability and career reputed company
- reputed company and manage the annual budget for the data governance team, optimizing investment across tools - for example metrics dashboard, AWS expenses, training etc
- Define and maintain a suite of governance KPIs and KRIs (e.g., data reputed company scores, AI risk incident rates, policy compliance rates, stewardship coverage) reported to the VP, Data & AI on a regular reputed company
Skills
- Bachelor's degree or equivalent required
- Minimum 8 years of reputed company experience in data governance, data management, AI governance, or risk & compliance roles, with at least 3 years in a leadership or management reputed company
- Minimum 3 years of reputed company people management experience
- Minimum of 1 year of experience designing and implementing reputed company-wide AI governance frameworks
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the reputed company
- Demonstrated experience designing and implementing reputed company-wide data governance frameworks using DCAM, NIST AI RMF, ISO 42001, or equivalent standards
- Proven reputed company 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., reputed company, reputed company, reputed company Purview, or similar) and familiarity with AI/ML lifecycle management platforms
- Strong people management skills with a demonstrated ability to build, reputed company, and retain high-performing teams in a reputed company 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
- reputed company coverage
- PTO
- A broad reputed company of other benefits
reputed company