Director, Data Licensing Partnerships

Meta Meta · Big Tech · Menlo Park, CA

Director of Data Licensing Partnerships responsible for sourcing, negotiating, and managing data licensing partnerships to enable Meta's AI and product innovation. This role involves defining strategy, securing partnerships, managing relationships with data providers and labeling partners, leading commercial and technical negotiations, and ensuring compliance. The role requires leading a global team and working closely with AI, Product, Legal, and Engineering teams to integrate partner data assets for AI and product development.

What you'd actually do

  1. Define and execute the global data licensing partnership strategy, focused on accelerating Meta’s access to and use of critical data assets for AI and product development.
  2. Identify, vet, and secure strategic data licensing, supply, and joint development partnerships with leading data providers, technology companies, and research organizations.
  3. Oversee strategic relationships with Meta Superintelligence Labs’ largest human data labeling partners.
  4. Lead complex commercial and technical negotiations, structuring agreements (e.g., co-development, licensing, supply guarantees) that ensure Meta’s data needs are met with resilience and compliance.
  5. Establish and lead a global team of Partnership Managers and Technical Liaisons, fostering a culture of technical rigor, accountability, and partnership excellence.

Skills

Required

  • 15+ years of total experience in technology, data, or AI sectors
  • at least 8 years in a senior leadership role focused on strategic partnerships, business development, or corporate strategy
  • 5+ years of direct management experience leading and scaling high-performing, geographically distributed teams
  • Demonstrated technical fluency in data licensing, AI, and/or enterprise data solutions
  • Proven track record of successfully negotiating and executing multi-million-dollar data or technology deals (e.g., data supply agreements, IP licensing, R&D partnerships)
  • Experience leading cross-functional teams to orchestrate and complete complex deals, including interpreting legal documents and working with attorneys
  • Exceptional executive communication, presentation, and influencing skills
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related technical field
  • Experience with AI products, technologies, and data licensing models
  • Experience launching or scaling data-driven products or platforms
  • Extensive network within the global data, AI, and technology ecosystem
  • Familiarity with privacy, security, and regulatory requirements for data licensing

Nice to have

  • Advanced degree (MBA, MS, or PhD) in a relevant technical or business field
  • Experience operating within an internal startup or highly ambiguous environment

What the JD emphasized

  • critical data assets for AI and product development
  • human data labeling partners
  • complex commercial and technical negotiations
  • privacy, security, and compliance standards

Other signals

  • data licensing partnerships
  • AI and product innovation
  • strategic value
  • data ecosystem
  • data assets for AI and product development
  • data labeling partners
  • AI, Product, Legal, and Engineering teams