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Salary
≈ $110k – $248k per year (Estimated)
Location
In office (New York)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

In this role, you join the team as the Workforce Strategy Lead, as we are looking for an exceptional Product Strategy and Operations professional with strategic expertise and a strong delivery record in building trust as this is a high-impact, strategic role designed to orchestrate organizational strategy, portfolio analytics, forward-looking workforce design, and global facilities/real estate footprint. In this role, you will contribute to designing an agile organization that is optimized for delivery, augmented by cutting-edge AI technology, and automated via agentic workflows to drive long-term business value.

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.

Qualifications

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.
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