Senior Director, Strategy & Business Management - Chief Data Office

Senior Director, Strategy & Business Management - Chief Data Office

Join to apply for the Senior Director, Strategy & Business Management - Chief Data Office role at Fannie Mae

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to home ownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

In this strategic leadership role, you will lead the Strategy & Business Management function within the Chief Data Office (CDO), overseeing a team that drives and supports enterprise strategy development and execution for Data, Modeling, and Analytics (DMA) at the enterprise level including functional planning and operations. Acting as a key advisor to CDO and DMA leadership, you will drive alignment across strategic initiatives, manage business operations, and ensure effective governance and communication across the organization.

Additionally, you will oversee chief‑of‑staff and project management functions ensuring coordination with CDO/DMA leaders and senior partners in HR, Finance, and Technology Services.

Responsibilities

• Define and drive strategic goals, vision, actionable recommendations, and execution plans for the CDO and DMA business units and functional blocks.
• Lead cross-functional strategic initiatives and ensure alignment with enterprise objectives.
• Facilitate the development of the enterprise DMA strategy and implement processes to activate and monitor execution of the strategy.
• Guide divisional goals and outcomes, performance measurement, and executive-level reporting to ensure effective execution of the DMA strategic objectives.
• Oversee CDO business operations including financial planning, vendor management, and workforce capacity planning at the functional level (including Technology Services DMA budget and scope).
• Manage governance and execution support for enterprise-wide programs and change initiatives across DMA units.
• Foster a collaborative and inclusive culture through employee engagement, onboarding, and internal communications.
• Ensure compliance with regulatory requirements, audit readiness, and business continuity planning.
• Lead and manage a team of strategy and business management professionals including Chief of Staff to CDO leadership, technical project managers, and strategy analysts executing on functional priorities, communications, and stakeholder engagement.
• Work in close collaboration with CIO/Technology Services strategy and business management leads as well as senior partners in HR, Finance, Procurement and other corporate functions.

• Bachelor’s degree or equivalent; MBA or Master’s preferred.
• 10+ years of experience in Data, Analytics, Modeling, and Technology leadership roles with specific focus in strategy development and execution, business and project management, team engagement, and executive communication.
• Prior experience in DMA strategy, chief‑of‑staff role, and business management role within technology or data analytics functions for Financial Services, Consulting, and/or Technology companies serving the industry.
• Proven ability to lead strategic planning and business transformation to meet organizational objectives and financial performance targets.
• Deep understanding and ability to anticipate emerging trends in DMA and AI for financial services and mortgage industry, monitor competitive trends and emerging technologies, and identify potential applications.
• Strong communication skills with specific expertise in presenting complex technical ideas clearly and persuasively, including support for C‑suite and Board‑level materials and discussions.
• Experience identifying strategic opportunities, developing compelling business cases, aligning resources to achieve goals, coordinating complex execution, and delivering meaningful impact.
• Analytical‑minded problem solver proficient in data‑driven analysis, interpretation, and visualization for non‑technical audiences to convey strategic ideas, business cases, and operational…