About the role: People leadership: You will inspire, lead and grow a high-performing team. Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Responsibilities
Inspire, lead and grow a distributed team of data scientists and data science leaders
• Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings
• Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale
• Lead development and communication of product area insights and recommended action items with Meta Analytics leadership
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development
• Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams
• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses
• Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
• Experience working effectively with multiple stakeholders and cross-functionally
• Effective communication skills
Preferred Qualifications
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with both product and business analytics work and demonstrated ability to deliver an integrated approach
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
