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Director, Data Science - New Revenue Bets

Meta· Analytics
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Sunnyvale, CA$253k - $314kFull-timePosted 4mo ago

About the role

Senior analytical leadership role in Meta's New Revenue Bets organization, acting as a product analytics leader and strategic generalist across Subscriptions, BizAI, and XF APAC. Provides data-driven guidance to senior leadership, defines measurement frameworks, and drives analytics for growth, monetization, and international expansion with AI/ML integration.

Responsibilities

  • Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
  • Work directly with VPs and senior cross-functional leaders across the company; synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
  • Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist; make ambiguity tractable for emerging business models
  • Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
  • Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
  • Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
  • Serve as a unifying analytical voice across multiple teams and workstreams; identify shared challenges, propagate learnings, and ensure teams are building on each other's work
  • Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products; propagate learnings across the org and beyond
  • Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
  • Redesign analytical workflows to leverage AI/ML tools and agents at scale; model how ICs should integrate AI as a force multiplier

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in data science, analytics, or a quantitative field
  • Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline
  • Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
  • Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
  • Track record of setting direction on company-critical problems and influencing cross-org strategy
  • Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
  • Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
  • Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership

Skills

Required:Analytical leadershipMeasurement framework designStorytelling for executivesExperimentation & causal inference
Nice to have:AI/ML workflow redesignLTV modeling / pricing strategy

Benefits

  • Bonus
  • Equity
  • Benefits (as per Meta Benefits)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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