[Hiring] Data and AI Governance Manager @U.S. Financial Technology

Role Description

The Data and AI Governance Manager is a leadership role responsible for designing, embedding, and continuously maturing the enterprise-wide framework that governs how data and AI are sourced, managed, protected, and deployed across the organization.

• Operating at the intersection of data strategy, AI risk, and regulatory compliance within a highly regulated financial services environment.
• Ensures the organization's practices align with industry standards including DCAM, NIST AI RMF, and ISO 42001.
• Proactively manages emerging AI and data risks.
• Works closely with Data & AI engineering, Risk & Compliance, Legal, and Business Units to translate policies into operational practices.
• Reports directly to the VP, Data and AI, playing a pivotal part in shaping the organization’s governance posture.

Responsibilities

• Strategy & Framework Design
  • Lead the design, implementation, and continuous improvement of the enterprise Data & AI Governance framework.
  • Own & Direct the development and lifecycle management of data governance policies, AI governance standards, data quality rules, and metadata management practices.
  • Partner in driving the organization's AI governance roadmap.
  • Define and maintain a clear governance operating model.
  • Explore and integrate emerging technologies to streamline governance workflows.
• Risk, Compliance & Regulatory Alignment
  • Ensure ongoing alignment with FHFA and other relevant regulations.
  • Partner 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.
  • Champion responsible and ethical AI practices.
• Data Quality & Stewardship
  • Establish and embed enterprise data quality standards and measurement frameworks.
  • Oversee data classification, critical data element identification, metadata management, and Collibra DIC management.
  • Facilitate the Data Governance Council and domain stewardship forums.
• Stakeholder Engagement & Culture
  • Collaborate with senior leaders across Business, Finance, Risk, Technology, and Legal & Compliance.
  • Advocate for a data-literate and AI-responsible culture.
  • Influence product and technology decisions by providing governance counsel.
• Team Leadership & Development
  • Manage & Develop a high-performing team of five governance professionals.
  • Allocate team capacity and resources effectively across governance tasks.
  • Mentor team members on data governance methodologies and AI risk concepts.
  • Develop and manage the annual budget for the data governance team.
• Reporting & Performance Metrics
  • Define and maintain a suite of governance KPIs and KRIs.

Qualifications

• 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.

Requirements

• 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.
• Hands-on experience with data governance tooling (e.g., Collibra, Alation, Microsoft Purview).
• Strong people management skills with a demonstrated ability to build, lead, and retain high-performing teams.
• Excellent stakeholder management and communication skills.

Benefits

• Competitive total compensation package, including a performance bonus.
• 401k match.
• Healthcare coverage.
• PTO.
• A broad range of other benefits.