Data and AI Governance Manager

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    "datePosted": "2026-03-25T04:00:00.000Z",
    "description": "<h2>OVERVIEW</h2>\n<p> </p>\n<p><strong>The Company</strong></p>\n<p> </p>\n<p>U.S. Financial Technology (U.S. FinTech) is seeking an experienced Data and AI Governance Manager to join our team of talented professionals. This is a full-time remote opportunity. </p>\n<p> </p>\n<p>U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.</p>\n<p> </p>\n<p>Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.</p>\n<p> </p>\n<p>Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.</p>\n<h2>RESPONSIBILITIES </h2>\n<p> </p>\n<p><strong>Job Information</strong></p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>Operating at the intersection of data strategy, AI risk, and regulatory compliance within a highly regulated financial services environment, the role ensures the organization's practices align with industry standards including DCAM, NIST AI RMF and ISO 42001, while proactively managing emerging AI and data risks.</p>\n<p> </p>\n<p>The manager works in close relationships with Data & AI engineering, Risk & Compliance, Legal and Business Units to translate policies into operational practices and embed a culture of responsible data and AI use. Reporting directly to the VP, Data and AI, this role plays a pivotal part in shaping the organization’s governance posture as it scales its AI capabilities and navigates on evolving regulatory landscape.</p>\n<p><strong>Key Job Functions</strong></p>\n<ul>\n <li><p><strong>Strategy & Framework Design</strong></p>\n  <ul>\n   <li><strong>Lead </strong>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.</li>\n   <li><strong>Own & Direct </strong>the development and lifecycle management of data governance policies, AI governance standards, data quality rules, and metadata management practices across all business domains.</li>\n   <li><strong>Partner </strong>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.</li>\n   <li><strong>Define </strong>and maintain a clear governance operating model, including data stewardship accountabilities, decision rights, escalation paths, and governance council structures.</li>\n   <li><strong>Explore and integrate</strong> emerging technologies, including AI, to streamline governance workflows, improve metadata curation and strengthen quality and compliance monitoring.</li>\n  </ul><p><strong>Risk, Compliance & Regulatory Alignment</strong></p>\n  <ul>\n   <li><strong>Ensure </strong>ongoing alignment with FHFA and other relevant regulations and emerging AI-specific regulatory requirements across all jurisdictions of operation.</li>\n   <li><strong>Partner </strong>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.</li>\n   <li><strong>Monitor </strong>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.</li>\n   <li><strong>Champion </strong>responsible and ethical AI practices, including fairness, explainability, transparency, and accountability requirements in alignment with ISO 42001 and internal AI ethics principles.</li>\n  </ul><p><strong>Data Quality & Stewardship</strong></p>\n  <ul>\n   <li><strong>Establish </strong>and embed enterprise data quality standards and measurement frameworks, working with Data Stewards across business domains to drive accountability and remediation.</li>\n   <li><strong>Oversee </strong>data classification, critical data element identification, metadata management, and Collibra DIC management to ensure consistent governance across all data domains.</li>\n   <li><strong>Facilitate </strong>the Data Governance Council and domain stewardship forums, preparing agenda, tracking actions, and ensuring governance decisions are documented and communicated effectively.</li>\n  </ul><p><strong>Stakeholder Engagement & Culture</strong></p>\n  <ul>\n   <li><strong>Collaborate </strong>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.</li>\n   <li><strong>Advocate </strong>for a data-literate and AI-responsible culture by developing awareness programs, training curricula, and communication strategies that build governance knowledge across the organization.</li>\n   <li><strong>Influence </strong>product and technology decisions by providing governance counsel during the design and procurement of data systems, AI platforms, and third-party AI tools.</li>\n  </ul><p><strong>Team Leadership & Development</strong></p>\n  <ul>\n   <li><strong>Manage & Develop </strong>a high-performing team of five governance professionals, setting clear objectives, providing coaching, conducting performance reviews, and fostering an inclusive and collaborative team culture.</li>\n   <li><strong>Allocate </strong>team capacity and resources effectively across governance tasks and initiatives, ensuring delivery against agreed milestones and outcomes.</li>\n   <li><strong>Mentor </strong>team members on data governance methodologies, AI risk concepts, and industry frameworks to build internal capability and career growth.</li>\n   <li><strong>Develop and manage</strong> the annual budget for the data governance team, optimizing investment across tools - for example metrics dashboard, AWS expenses, training etc.</li>\n  </ul><p><strong>Reporting & Performance Metrics</strong></p>\n  <ul>\n   <li><strong>Define </strong>and maintain a suite of governance KPIs and KRIs (e.g., data quality scores, AI risk incident rates, policy compliance rates, stewardship coverage) reported to the VP, Data & AI on a regular basis.</li>\n  </ul></li>\n</ul>\n<h2>QUALIFICATIONS</h2>\n<p> </p>\n<p><strong>Education</strong>   </p>\n<ul>\n <li>Bachelor’s degree or equivalent required </li>\n</ul>\n<p><strong>Minimum Experience</strong>  </p>\n<ul>\n <li>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.</li>\n <li>Minimum 3 years of direct people management experience.</li>\n <li>Minimum of 1 year of experience designing and implementing enterprise-wide AI governance frameworks.</li>\n <li>Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer sponsorship for this position.</li>\n</ul>\n<p> </p>\n<p><strong>Specialized Knowledge & Skills</strong>     </p>\n<ul>\n <li>Demonstrated experience designing and implementing enterprise-wide data governance frameworks using DCAM, NIST AI RMF, ISO 42001, or equivalent standards.</li>\n <li>Proven track record of managing governance programs in a regulated financial services environment.</li>\n <li>Experience leading cross-functional governance initiatives and operating governance bodies such as Data Councils, AI Review Boards, or Stewardship Forums.</li>\n <li>Hands-on experience with data governance tooling (e.g., Collibra, Alation, Microsoft Purview, or similar) and familiarity with AI/ML lifecycle management platforms.</li>\n <li>Strong people management skills with a demonstrated ability to build, lead, and retain high-performing teams in a matrix organization.</li>\n <li>Excellent stakeholder management and communication skills, with the ability to influence senior executives and translate governance concepts into business value.</li>\n</ul>\n<p>Pay Range $181,000 to $205,500 </p>\n<p>U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate’s qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.</p>\n<p> </p>\n<p><strong>Employment</strong></p>\n<p>As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to  successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.   </p>\n<p>     </p>\n<p>U.S. Financial Technology is an Equal Opportunity Employer.</p>\n<p> </p>\n<p>##LI-Remote</p>",
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