You will be the domain expert in the room, a trusted advisor leader turns to for critical workforce decisions and, just as critically, a builder. You will be multi-tasking, that is what makes this role unique. You will own a portfolio of relationships with leaders, advocate the development of AI-driven tools and agentic automation that make workforce planning scalable, and partner closely with Finance, HR, Recruiting, Real Estate, and Operations to enable teams to execute seamlessly against plans.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $308000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design, implement, and oversee a standardized, tool-based central hub for workforce planning addressing holistic resource composition and capability requirements.
- Advocate the integration of AI, ML, and predictive analytics into the workforce planning ecosystem to provide forward-looking alerts and democratize data access using natural language interfaces.
- Oversee the continuous synchronization of pipeline portfolio demands with actual workforce capacity to ensure the business is optimally staffed to deliver on strategic initiatives.
- Intersect directly with corporate Finance to ensure bottom-up operational capacity plans and utilization rates reconcile seamlessly with top-down budget constraints and forecasts.
- Partner with facilities and real estate management teams to drive the physical footprint strategy and workplace design, ensuring global offices evolve symmetrically with dynamic workforce models.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in workforce and organizational health planning, product strategy and operations, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple cross-functional programs or projects.
Preferred qualifications:
- Experience building advanced workforce models incorporating skills, capacity, automation potential, and direct business impact.
- Experience working with product and engineering teams, and in organizations undergoing significant technology transformation, rapid scaling, or AI/automation adoption.
- Experience working with enterprise planning tools or cloud-based EPM platforms (e.g., Anaplan, Adaptive, Workday).
- Experience defining business/operational requirements for Large Language Model (LLMs), agentic workflows, or AI assistants.
- Experience with R, SQL, spreadsheets, or similar analytics tools.