Senior Manager, Strategic Workforce Analytics

Location Details: United States, Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team

At GoDaddy, we are looking for a Senior Manager, Strategic Workforce Analytics to join our team! This role delivers workforce analytics and AI-enabled insights for People Operations. You will build trusted reporting and analysis on headcount, org design, compensation, and key talent outcomes, and turn recurring questions into repeatable tools and automated reporting. You’ll work closely with HRBPs, Total Rewards, Finance, Legal, and HR Technology to improve workforce planning and decision-making while protecting and managing data with integrity!

What you'll get to do...

Strategic Workforce Planning and Org Analytics

• Review and analyze core workforce data (employee, position, org, job, location, cost center) to ensure headcount and movement reporting is consistent and reliable
• Deliver workforce planning and org efficiency analyses (spans and layers, internal turnover risk, internal mobility, location strategy) and translate results into executive-ready recommendations
• Implement data collection and validation to support corporate reorgs, restructurings, RIFs, and M&A/divestiture/integration activities, including severance calculations, outcome assessment analyses, and scenario modeling (timing, cost, spans/layers, talent risk) working closely alongside People Ops, Finance, and Legal
• Develop and automate workforce dashboards and planning views (headcount, hires, exits, internal moves, vacancies, and cost-related views where available) with clear definitions and dependable refresh

Data Analytics and Reporting

• Turn recurring People Ops questions into detailed analytics and tools—standard reports, dashboards, and simple AI-assisted workflows that help teams move faster and make better decisions
• Deliver recurring and ad hoc compensation and workforce analytics (headcount, movement, comp-cycle outcomes, equity/bonus participation, pay mix, market data/salary range development, cohort trends) to People Ops leadership, HRBPs, and business leaders
• Build and maintain dashboards and self-service reporting with automated refresh so collaborators can access timely, trusted insights
• Use data and AI to spot patterns and forecast workforce trends (e.g., attrition risk, internal moves, hiring funnel performance, time-to-fill), and turn those insights into practical actions and tools for People Ops
• Turn business questions into clear analysis, then summarize the “so what” for leaders—what the data shows, what it means, and what decisions or actions it supports
• Support pay transparency and global reporting requirements by producing accurate, well-defined reporting outputs aligned to privacy and compliance standards
• Gather, validate, and analyze compensation data to complete pay equity analyses, including running models, identifying gaps, and supporting remediation and reporting requirements in partnership with People Ops, Finance, and Legal
• Build and maintain global benefits cost models, aligning assumptions, forecasts, and reporting outputs to Finance planning cycles
• Involved with People Ops special projects or peer review as needed

Your experience should include...

• 7+ years in people/workforce analytics, analytics engineering, compensation analytics, or workforce planning, with a track record of leading and delivering production-grade analytics products used by senior leaders
• Experience with HCM platforms (Workday preferred) and people data warehouses/lakes, including effective-dated data, dimensional modeling, and privacy/security controls (access, encryption, audit trails)
• Demonstrated experience using AI tools and building agents or automated workflows to improve efficiency in analytics and reporting processes
• Experience building and maintaining visual analytics platforms- Tableau, Power BI, QuickSight (preferred) and advanced Excel models, with a focus on usability, automation, and data accuracy
• Must be available to work US time zones to support business/key collaborator priorities and meetings as workload may vary significantly given special p