Director, Marketing Data Science

Meta•Austin, TX

About The Position

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master’s degree preferred
10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
Experience leading the building of statistical/computational tools in support of marketing functions
Advanced knowledge of marketing analytics, survey design, and statistical methods
Very comfortable personally using AI tools and transforming organizations to be AI-Native
Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
Excellent stakeholder management and communication skills, with experience presenting to executive leadership

Nice To Haves

Previous experience in Public Affairs Marketing or Public Opinion Polling
3+ years in Corporate Communications Analytics (e.g. social listening)
Expertise in high-frequency measurement models, campaign optimization, and real-time reporting

Responsibilities

Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
Community & Thought Leadership: Amplify the impact of Meta’s Analytics community through blog contributions, paid media strategies, and recruiting initiatives.