People Systems, Analytics, and AI Manager

Role overview Own the systems and analytics that help leaders understand workforce trends and make informed decisions. This individual contributor role combines HR technology expertise, reporting, data storytelling, and practical use of AI, working closely with People, Finance, and business teams from the initial question through recommended action.

Responsibilities - Manage HR systems across employee records, recruiting, performance, compensation, and learning, including configuration, data quality, access controls, integrations, and releases. - Build and maintain reports and dashboards on areas such as hiring, headcount, retention, engagement, compensation, and workforce planning. - Turn business questions into useful metrics and analysis, then explain findings and recommendations to leaders. - Use AI tools to speed up analysis and create visualizations, automated insights, plain-language summaries, and executive-ready narratives. - Set data definitions and quality checks, document standards, and maintain a reliable source of truth while protecting confidential employee data. - Prioritize system and reporting requests, automate recurring work, support system changes and annual people cycles, and train colleagues and managers to use the tools.

Requirements - At least 8 years of experience in HR systems, People analytics, or HR operations, including hands-on reporting and dashboard ownership in a technology or high-growth setting. - Expert knowledge of a major HRIS, including report writing, calculated fields, and security configuration. - Strong skills with analytics and visualization tools such as SQL, Tableau, Looker, or Power BI, plus advanced spreadsheet skills. - Practical fluency with AI tools for analysis and communication, with sound judgment about accuracy and appropriate use. - Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders. - Strong data privacy and confidentiality practices, independent project management, attention to detail, and comfort working across time zones.

Nice to have - Experience with data pipelines, data warehouses, or scripting such as Python or dbt. - Familiarity with integrations, workflow automation, workforce planning, compensation, or engagement analytics.