Data and AI Governance Manager

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🕒 March 26

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Logo of Common Securitization Solutions

Common Securitization Solutions

201 - 500 employees

Founded 2014

💸 Finance

💳 Fintech

🏠 Real Estate

Finance • Fintech • Real Estate

Common Securitization Solutions (CSS) is the largest and most technologically advanced mortgage securitization platform in the financial services industry, playing a critical role in the Single-Family housing market. CSS manages the issuance and administration for Fannie Mae and Freddie Mac’s Single-Family Mortgage-Backed Security (SF MBS) business and operates the Common Securitization Platform (CSP), a cloud-based platform that centralizes Agency MBS data. The company focuses on ensuring liquidity in the primary mortgage market, enabling Americans to purchase homes and refinance mortgages, while utilizing advanced technology for data management and reporting.

📋 Description

• 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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