Manager, People Analytics & AI

Role Responsibilities

• Design and deliver end-to-end analytics solutions across key HR domains including hiring, performance management, and engagement
• Translate ambiguous business questions into structured data problems and actionable insights
• Build and maintain scalable datasets, dashboards, and metrics frameworks to support leadership decision-making
• Possess strong analytical and problem-solving skills with the ability to work effectively in complex and evolving environments
• Partner with HR, Finance, and business leaders to drive data-informed workforce strategies
• Lead the development of AI-enabled solutions such as copilots, chatbots, and agent-based workflows to scale HR support and impact, including employee self-service, HR case triage, and talent insights
• Explore and evaluate emerging AI technologies and tools to improve operational efficiency and enhance employee and HR experiences
• Write and optimize SQL queries to extract, transform, and analyze data from systems such as Snowflake, Workday, and related platforms
• Build and maintain data pipelines and data models to ensure reliable, high-quality datasets
• Integrate data across Workday, recruiting, engagement, and related platforms to create a trusted source of workforce data
• Act as a strategic advisor to HR and business leaders by providing insights and recommendations backed by data
• Communicate findings and recommendations effectively to both technical and non-technical audiences, including executive leadership
• Proactively identify opportunities to improve processes, reduce manual work, and increase self-service capabilities

Role Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field with 5+ years of experience, or equivalent combination of education and experience
• Strong proficiency in SQL and experience working with large, complex datasets
• Experience building or working with AI/ML models, Large Language Models (LLMs), or AI-driven tools
• Hands-on experience developing AI agents, copilots, or automation workflows
• Proven ability to translate business needs into data solutions and actionable insights
• Experience collaborating across cross-functional teams and influencing stakeholders through data-driven recommendations
• Ability to independently drive projects from problem definition through execution
• Strong communication skills with the ability to present complex concepts clearly to both technical and business audiences
• Hands-on experience using AI tools and technologies to improve productivity and accelerate solution development
• Ability to evaluate AI-generated outputs and apply sound judgment regarding accuracy, quality, and business relevance
• Advocates for innovation, automation, and responsible AI adoption while maintaining high standards of quality and governance