In this role, you will be a key analytics leader at Meta, focusing on transforming enterprise operations through AI. You will work within a new 'Ecosystem' analytics team, addressing high ambiguity and direct visibility to leadership. Your responsibilities will span from building data infrastructure to shaping strategic frameworks for measuring productivity and effectiveness. This position requires a blend of data science and engineering skills to drive AI integration across various internal tools and processes.

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• Proven experience as an AI power user in day-to-day work.
• Experience building measurement systems from scratch in ambiguous environments.
• Ability to communicate effectively with executives and present actionable insights.
• Experience working cross-functionally to drive alignment without authority.
• Honesty in evaluating the effectiveness of AI initiatives.

• Rapidly measure and communicate the ROI of new AI tools.
• Validate claims of time savings from AI initiatives.
• Build measurement frameworks for diverse AI tools and use cases.
• Create dashboards and self-serve layers for stakeholder visibility.
• Design and scale data pipelines to capture telemetry and usage signals.
• Influence the evolution of operating models and job profiles for the AI era.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.