Marketing Data Strategist

Fannie Mae • Washington, DC

1d • $141,000 - $184,000 • Onsite

About The Position

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 homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued contributor to our Marketing Data Strategy team, you will transform complex datasets into actionable insights that drive marketing decisions and performance. Serving as a data and governance SME, you will establish measurement frameworks for multi-channel marketing strategies, define success metrics, and bridge Marketing, Analytics, and Technology teams to demonstrate marketing's organizational value. The role requires analytical expertise combined with marketing acumen. THE IMPACT YOU WILL MAKE The Marketing Data Strategist role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities: Strategy, Analytics and KPI Architecture Define how marketing should use data to measure and optimize performance and personalization strategies. Develop and implement comprehensive data strategies that align with marketing objectives and business goals. Own the definition and governance of marketing data including KPIs, metrics, naming conventions, and documentation. Create and maintain a marketing measurement plan outlining what we measure, why, and how. Audit existing datasets to diagnose gaps, inconsistencies, and opportunities for consolidation or improvement. Partner with Analytics and marketing teams to establish key performance indicators (KPIs) and success metrics for all marketing programs. Insights and Reporting Collaboration Co-design analytical use cases with Analytics/Reporting team (e.g., funnel attribution, content effectiveness, campaign performance, demand efficiency, journey friction). Support the development of dashboards and reporting systems with accurate KPIs, clear definitions, and meaningful strategic narratives. Technical Implementation and Partnership Partner with IT and Data Engineering to uphold data quality and governance while ensuring dependable access to certified datasets. Create and maintain technical documentation such as data dictionaries/models that specify sources, schemas, SLO/SLAs, and quality rules for each certified dataset. Convert business requirements into technical requirements and define policies, procedures, and models for data collection and retrieval. Lead user acceptance testing (UAT) for new datasets, tools, dashboards, and integrations to ensure accuracy and usability. Prioritize ingestion and transformation work with a roadmap aligned to business milestones. Develop automated reporting solutions and data pipelines to improve efficiency and accuracy. Stay current on emerging marketing technologies and data platforms, making recommendations for adoption. Serve as a marketing data expert, providing training and guidance on analytics tools and best practices.

Requirements

• 6 years of experience in marketing data strategy and analytics using marketing technology and analytics platforms.
• Advanced skills in data visualization tools Tableau or Power BI.
• Strong SQL skills for data extraction, manipulation, and analysis.
• Understanding of data warehousing concepts and cloud platforms (e.g. BigQuery, AWS, Redshift).
• Proven experience establishing marketing data quality standards and governance frameworks for complex, multi-source datasets with varying levels of documentation and completeness.
• Demonstrated expertise as a cross-dataset SME with deep knowledge of multiple data sources, their interrelationships, limitations, and appropriate use cases - including reconciling disparate data models and establishing unified measurement standards.
• Ability to communicate complex information in an understandable way to non-technical audiences.
• Strong collaboration and stakeholder management skills.

Nice To Haves

• Bachelor’s degree in information systems, data science, statistics, engineering, computer science, or related field.
• Ability to analyze campaign effectiveness, audience behavior, and segmentation to uncover insights and present clear strategic recommendations.
• Strong storytelling and presentation skills, including communicating insights and recommendations to senior and executive audiences.
• Strong strategic thinking skills with the ability to balance big‑picture direction and detailed execution.
• Certification in Google Analytics, Tableau, or other relevant platforms.
• Experience with customer data platforms (CDPs) such as Segment, mParticle, or Adobe Experience Platform.
• Familiarity with data privacy regulations (GDPR, CCPA) and their impact on data usage.

Responsibilities

• Define how marketing should use data to measure and optimize performance and personalization strategies.
• Develop and implement comprehensive data strategies that align with marketing objectives and business goals.
• Own the definition and governance of marketing data including KPIs, metrics, naming conventions, and documentation.
• Create and maintain a marketing measurement plan outlining what we measure, why, and how.
• Audit existing datasets to diagnose gaps, inconsistencies, and opportunities for consolidation or improvement.
• Partner with Analytics and marketing teams to establish key performance indicators (KPIs) and success metrics for all marketing programs.
• Co-design analytical use cases with Analytics/Reporting team (e.g., funnel attribution, content effectiveness, campaign performance, demand efficiency, journey friction).
• Support the development of dashboards and reporting systems with accurate KPIs, clear definitions, and meaningful strategic narratives.
• Partner with IT and Data Engineering to uphold data quality and governance while ensuring dependable access to certified datasets.
• Create and maintain technical documentation such as data dictionaries/models that specify sources, schemas, SLO/SLAs, and quality rules for each certified dataset.
• Convert business requirements into technical requirements and define policies, procedures, and models for data collection and retrieval.
• Lead user acceptance testing (UAT) for new datasets, tools, dashboards, and integrations to ensure accuracy and usability.
• Prioritize ingestion and transformation work with a roadmap aligned to business milestones.
• Develop automated reporting solutions and data pipelines to improve efficiency and accuracy.
• Stay current on emerging marketing technologies and data platforms, making recommendations for adoption.
• Serve as a marketing data expert, providing training and guidance on analytics tools and best practices.

Benefits

• As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level