Note: The job is a remote job and is open to candidates in USA. GitHub is the world’s leading platform for agentic software development, and they are seeking a Senior Manager, People Intelligence & Analytics to lead the evolution of their People Analytics function into an AI-powered capability. The role involves transforming decision-making processes by utilizing predictive analytics and AI-generated insights to enhance workforce intelligence.
Responsibilities
- Lead the People Intelligence & Analytics function, establishing strategy, priorities, operating rhythm, delivery standards, and stakeholder engagement models across the People Team
- Transform People Analytics from a traditional reporting function into an AI-powered People Intelligence capability focused on predictive insight, decision support, workforce intelligence, and executive advisory
- Define and execute a multi-year vision for how AI, analytics, and workforce intelligence reshape decision making across GitHub
- Build and scale AI-enabled products, including: Automated insight generation, Executive workforce narratives, Natural-language analytics experiences, Analytics copilots and intelligent insight assistants, Anomaly detection and workforce trend identification
- Design and implement predictive analytics capabilities including: Workforce forecasting, Attrition and retention modeling, Internal mobility intelligence, Skills-gap analysis, Organizational health indicators, Talent movement forecasting
- Partner directly with executives, HRBPs, People Consultants, Finance, and business leaders to identify critical workforce questions and translate them into actionable intelligence AI products and strategic recommendations
- Develop executive-ready workforce intelligence products that combine data, AI-generated narratives, contextual insights, predictive indicators, and recommended actions
- Own People Team metric standards, data definitions, analytical methodologies, and reporting frameworks
- Serve as a trusted advisor to People Team leadership on workforce trends, organizational effectiveness, talent risks, and future workforce planning
- Define the future operating model for analytics within an AI-enabled HR organization
- Establish how analysts leverage AI, agents, automation, and decision-support technologies to increase insight quality, speed, and scale
- Partner closely with the Senior AI Transformation Manager, HR to technically scope responsible AI practices, agentic solutions, and emerging AI capabilities into intelligence products and workforce experiences
- Drive experimentation and adoption of innovative AI technologies that enhance forecasting/predictive effectiveness and strategic decision making
- Build future capabilities in advanced assessment, AI-assisted analysis, predictive modeling, data storytelling, and workforce intelligence
Skills
- Bachelor's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field
- OR Master's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field
- OR Doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field
- OR equivalent experience
- 1+ years people management experience
- Experience building executive-facing analytics products, strategic insights, and data-driven decision-support capabilities
- Experience applying AI, machine learning, predictive analytics, or advanced statistical approaches to solve business challenges
- Experience leading People Analytics transformation initiatives within a large enterprise environment
- Experience developing AI-powered analytics products, conversational analytics tools, analytics copilots, or agentic insight solutions
- Experience with workforce forecasting, talent intelligence, organizational network analysis, or predictive talent modeling
- Experience working across HR systems such as Workday, SuccessFactors, Viva Glint, or related people-data platforms
- Knowledge of Responsible AI principles, model governance, privacy standards, and explainability considerations
- Experience building modern data and analytics capabilities using cloud platforms, PowerBI, Fabric, Azure, or similar ecosystems
Benefits
- Annual bonus
- Stock
- Sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role
- Competitive pay
- Generous learning and growth opportunities
- Excellent benefits to support you, wherever you are
- Remote-first
Company Overview
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