People Systems, Analytics, and AI Manager

About the role

Responsibilities

• Own HR systems, including configuration, data integrity, security roles, integrations, and release management.
• Build and maintain workforce reports, dashboards, and analytics for headcount, hiring, retention, engagement, compensation, and workforce planning.
• Translate business questions into metrics and analysis, and recommend data-informed actions.
• Use AI to accelerate analysis and create data stories, visualizations, automated insights, summaries, and executive-ready narratives.
• Govern People data standards, metric definitions, quality checks, documentation, and a single source of truth.
• Apply privacy, confidentiality, and access controls; partner with Legal and Security on responsible AI use with People data.
• Prioritize and deliver systems and reporting requests, create self-service solutions, and automate recurring reports and workflows.
• Support module rollouts, integrations, data migrations, and annual cycles, including testing, training, and documentation.
• Enable teammates and managers through training, office hours, and guides; monitor technology and analytics trends.

Required qualifications

• 8+ years of related experience in HR systems, People analytics, or HR operations, including hands-on reporting and dashboard ownership in a technology or high-growth environment.
• Expert-level knowledge of at least one major HRIS, including report writing, calculated fields, and security configuration.
• Proficiency with analytics and visualization tools such as SQL, Tableau, Looker, Power BI, or similar, plus advanced spreadsheet skills.
• Fluency with AI tooling for data analysis, insights, visualizations, and narratives, with judgment about accuracy and appropriate use.
• Ability to translate business questions into metrics and clearly communicate findings to non-technical leaders.
• Strong understanding of employee data integrity, privacy, and confidentiality; ability to manage projects and stakeholders independently and deliver on time.

Nice to have

• Experience with data pipelines, data warehouses, or scripting such as Python or dbt.
• Experience with integrations and workflow automation tools.
• Knowledge of workforce planning, compensation, or engagement analytics.
• Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience.

Pay

• Target annual pay ranges vary by geographic zone: Zone 1 $121,800–$167,530; Zone 2 $109,700–$150,810; Zone 3 $103,600–$142,450.
• Exact compensation may vary based on skills and experience.