Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fannie Mae

Senior Marketing Data and Analytics Manager

Fannie Mae

Senior Manager for marketing analytics at Fannie Mae building AI-enabled analytics function. Leading data strategies and insights to enhance marketing performance and decision-making across the enterprise.

Posted 4/30/2026full-timeReston • District of Columbia, Virginia • 🇺🇸 United StatesSenior💰 $155,000 - $209,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Build and lead a high-impact analytics function
  • Develop and scale a best-in-class team, operating model, and roadmap that positions data and analytics as core drivers of marketing and business strategy.
  • Drive executive decision-making through data and storytelling
  • Translate complex analyses into clear, compelling narratives and recommendations; confidently present insights to senior leadership and influence enterprise priorities.
  • Embed AI and advanced analytics into marketing
  • Develop and apply predictive models, segmentation, CLV frameworks, and AI/ML-driven approaches to improve targeting, personalization, and performance.
  • Own performance measurement and optimization
  • Lead digital analytics, experimentation, SEO, and on-site search measurement - connecting insights across the customer journey to drive continuous optimization.
  • Deliver scalable insights and self-service capabilities
  • Design KPI frameworks, dashboards, and reporting that simplify complexity, accelerate decisions, and enable broader access to insights.
  • Partner across the enterprise to enable data-driven marketing
  • Collaborate with Marketing, Product, and Technology teams as well as our vendors and media agency to improve data quality, governance, and infrastructure readiness for advanced analytics and AI use cases.
  • Drive organizational change
  • Champion a data- and AI-driven culture; influence stakeholders across a large, complex organization to adopt new ways of working.

Requirements

What you’ll need
  • 6 years of experience in marketing analytics, data strategy, or measurement.
  • Prior experience having built, scaled, and led a marketing analytics function in a complex large organization.
  • Executive presence; able to influence and communicate with senior leaders.
  • Marketing analytics expertise: A/B testing, segmentation, forecasting, measurement frameworks.
  • Hands-on skills with Python or R, and BI/web analytics tools (e.g., Tableau, Power BI, Data Studio, or Google Analytics).
  • Experience applying AI/ML to marketing use cases with measurable impact.
  • Experience with relational databases, including SQL development, data modeling, and query optimization.
  • Experience working with multiple, large unstructured datasets to drive actions that improve marketing performance.
  • Marketing funnel/customer journey and omnichannel measurement (including search, web, email, paid media) experience.
  • At least 3+ years of people managing experience, managing 3 or more direct reports.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Benefits

Comp & perks
  • Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
marketing analyticsdata strategymeasurement frameworksA/B testingsegmentationforecastingpredictive modelsAI/ML applicationsSQL developmentdata modeling
Soft Skills
executive presenceinfluencecommunicationcuriosityadaptabilityleadershipcollaborationstorytellingorganizational changedata-driven culture