Director, Data Licensing Partnerships
at Meta
Location
Menlo Park, CA
Type
full time
Posted
2 weeks ago
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Job description
Meta is seeking a hands-on leader to build and scale the Data Licensing Partnerships function. As Director, Data Licensing Partnerships, you will lead a global team responsible for sourcing, negotiating, and managing high-impact data licensing partnerships that enable Meta’s AI and product innovation. This role is critical to Meta’s ability to accelerate AI and product innovation through world-class data partnerships. You will shape the future of Meta’s data ecosystem, drive strategic value, and lead a high-performing team at the intersection of technology, business, and external partnership. Your leadership will ensure Meta secures and leverages best-in-class data assets, directly impacting the company’s ability to deliver innovative products and maintain a competitive edge in the global technology landscape.
Responsibilities
- 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.
- Identify, vet, and secure strategic data licensing, supply, and joint development partnerships with leading data providers, technology companies, and research organizations.
- Oversee strategic relationships with Meta Superintelligence Labs’ largest human data labeling partners.
- 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.
- Manage a portfolio of partnerships across the data value chain, from raw data acquisition to integration with Meta’s AI and product teams.
- Serve as the primary external representative for Meta’s Data Licensing Partnerships, building key relationships with industry leaders, academic researchers, and regulatory bodies.
- Work closely with Meta’s AI, Product, Legal, and Engineering teams to translate partner capabilities and data assets into actionable product and research roadmaps.
- Establish and lead a global team of Partnership Managers and Technical Liaisons, fostering a culture of technical rigor, accountability, and partnership excellence.
- Develop clear metrics and dashboards to track the health, value, and ROI of all key data licensing partnerships.
- Provide regular reports and updates on partnership activity, performance, risks, and opportunities to senior leadership.
- Ensure all data licensing activities adhere to privacy, security, and compliance standards.
- Drive continuous improvement in partnership processes, deal execution, and team performance.
Minimum Qualifications
- 15+ years of total experience in technology, data, or AI sectors, with 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 with the ability to operate effectively at the highest levels both internally and externally
- Bachelor’s degree in Engineering, Computer Science, Business, or a related technical field Advanced degree (MBA, MS, or PhD) in a relevant technical or business 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
- Experience operating within an internal startup or highly ambiguous environment
- Familiarity with privacy, security, and regulatory requirements for data licensing