Director, Marketing Data Science

Seattle, WA (Unknown)

$253K/yr – $314K/yrDirector/Executive10+ years exp

Posted 3 months ago

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Job Summary

Own the analytics and measurement engine that informs high-velocity marketing decisions across AI, corporate, and public-affairs campaigns, while leading a cross-functional team to translate data into executive-ready recommendations.

  • Own measurement models, real-time reporting, and campaign optimization to validate impact across regions and business units.
  • Coordinate with VPs and Directors to design and evaluate campaigns, including holdouts and funnel analyses.
  • Lead a ~15-person team and collaborate with Product, Research, and Marketing to scale AI-native analytics and improve recruiting processes.

Job Description

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.

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

Preferred

  • 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
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