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Redmond, WA
Source: Microsoft careers · View original posting
From Microsoft's posting. “We” and “our” refer to the employer.
Overview
Senior Director, Workforce Intelligence
Lead the development of workforce intelligence products that help leaders make more informed decisions about talent, capability, capacity and investment. This role combines product leadership, workforce analytics and strategic foresight to turn complex information into practical choices with measurable business value.
You will take products from concept through adoption, connecting business needs with rigorous analysis and thoughtful user experience. Working across People, Finance, Engineering, Research and business teams, you will build trusted solutions that help the organization understand its workforce, anticipate changing needs and evaluate investment trade-offs. This is a product-building leadership role, not solely a reporting or analytics function.
Product direction and delivery
Own product direction, priorities and delivery plans, starting with the decisions leaders need to make. Translate ambiguous needs into clear requirements, testable hypotheses and useful products. Make disciplined choices about what to build, reuse, partner on or stop, balancing business value, feasibility, cost and risk.
Lead discovery, prototyping, testing and scaling in close partnership with users and technical teams. Establish evidence-based success measures, use feedback to improve the experience and drive adoption beyond initial delivery. Favor reusable capabilities over disconnected one-off solutions, while maintaining clear accountability for product quality and ongoing performance.
Workforce insight and business impact
Develop forward-looking insight into workforce supply, demand, skills and capability needs. Bring together internal workforce information and external labor-market trends to support planning, identify capability gaps and inform talent investment and internal mobility decisions. Use forecasting and scenario analysis to help leaders understand uncertainty, options and likely implications.
Partner with Finance and business leaders to connect workforce choices to capacity, cost and business performance. Build clear measures of value and translate analysis into recommendations and trade-offs, not simply dashboards. Assess whether products improve decisions and deliver meaningful returns on workforce and capability investments.
Trusted data and responsible use
Set clear standards for workforce data quality, consistent definitions and skills information in partnership with data and technology teams. Strengthen ownership, governance and ongoing stewardship so products are reliable and maintainable. Embed privacy, security, fairness and appropriate access into product decisions, communicate analytical limitations and preserve human judgment in the use of sensitive employee information.
Partnership and executive influence
Align cross-functional partners around shared outcomes, clear ownership and delivery commitments. Resolve dependencies and competing priorities through sound judgment and influence, including where you do not have direct authority. Communicate complex findings and product choices simply and credibly to executives, making assumptions, trade-offs and recommendations explicit. Build the team capabilities and partnerships needed to sustain delivery.
Success means leaders use trusted workforce intelligence to make better-informed choices, products move from concept into sustained use, and their value is demonstrated through clear measures. Priorities and accountability are shared across partners; workforce and skills information is more consistent and reliable; and the organization can anticipate capability needs and assess investment options with greater confidence.
Success Profile
Successful Workforce Intelligence leaders typically demonstrate:
Product Leadership: Translate ambiguous decision needs into useful products, testing with users and prioritizing adoption and value.
Business Acumen: Balance workforce capacity, capability, cost and performance through disciplined financial trade-offs and measurable business value.
Systems Thinking: Connect business, workforce, skills, data and product dependencies to anticipate capability needs and assess future options.
Analytical Judgment: Use evidence, forecasts and scenarios for credible recommendations, making assumptions, uncertainty and limitations explicit.
Data Stewardship: Ensure reliable data, clear ownership and consistent definitions while protecting privacy, security, fairness and human judgment.
Executive Influence: Communicate findings and product choices clearly, aligning partners and resolving competing priorities without formal authority.
Adaptable Execution: Navigate ambiguity, learn from evidence and feedback, and sustain disciplined delivery, team capability, improvement and adoption.
Business Program Management M6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $303,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable
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