Marketing Data Strategy Lead

Fannie Mae

Washington (District of Columbia)

Hybrid

USD 109,000 - 142,000

Full time

14 days+

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Job summary

Fannie Mae is seeking a Marketing Data Strategy Lead Associate to transform complex datasets into actionable insights. You will build dashboards and reports using Tableau and Power BI, partner with analytics and marketing to define KPIs, and guide data governance across multi-source datasets.

You will lead UAT, develop data pipelines, and stay current with marketing tech to drive measurable business outcomes. This hybrid role offers opportunities to influence enterprise marketing decisions.

Qualifications

4 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).
Prior 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.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

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 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.