Agilent Technologies

Lead, Strategic Workforce Planning & Analytics

US-CA-Santa Clara · Contract

Sponsorship not specified$211k-$329kDetected 25 days ago

Data VisualizationAccessibilityForecastingFP&ARecruitingHRISCadenceLeadershipCollaboration

About the role

This is a high-impact leadership role at the intersection of business strategy, financial planning, and workforce transformation.
As a trusted advisor to senior leaders across HR, Finance, and the business, you will shape decisions on workforce strategy, investments, and long-range planning.
Impact Your leadership will define how Agilent plans for growth, transformation, and productivity.

Build and lead Agilent's enterprise strategic workforce planning capability, including frameworks, governance, planning cadence, and executive reporting.
Own the integrated workforce plan, connecting headcount, skills, workforce mix, labor cost, capacity, and business priorities into a single, actionable view.
Build predictive and scenario-based models for attrition, mobility, skills gaps, hiring demand, productivity, and workforce readiness.
Lead cross-functional planning across HRBPs, Finance, Recruiting, People Operations, and Facilities to align workforce, cost, and capacity decisions.
Deliver executive dashboards and insights that drive decisions on workforce investments, transformation priorities, and operational performance.

12+ years of experience in workforce planning, workforce analytics, people analytics, FP&A, consulting, or a related field, with enterprise or global scope.
Deep expertise in headcount planning, workforce modeling, labor cost forecasting, and scenario analysis.
Strong ability to connect workforce strategy to financial planning, business strategy, and operating model decisions.
Experience partnering closely with Finance on workforce planning tied to operating plans, forecasts, and long-range planning.
Experience translating workforce demand into hiring strategy in partnership with Recruiting or Talent Acquisition.
Strong understanding of HR and workforce data ecosystems (HRIS, ATS, Finance), with preference for Workday environments.
Practical fluency in AI and automation, with the ability to assess implications for workforce composition, productivity, and cost.
Proven ability to influence senior stakeholders across HR, Finance, and the business in complex, cross-functional environments.
What You Bring
Bachelor's degree required
advanced degree in Business, Finance, HR, Analytics, or a related field preferred.
Proven experience building or leading strategic workforce planning capabilities in complex, matrixed organizations.
Advanced analytical and data storytelling skills, with experience using tools such as Workday Adaptive Planning, Power BI, Tableau, Anaplan, or similar.

Consulting background or experience with enterprise transformation initiatives.
Experience incorporating contingent labor, outsourced services, and digital/AI-driven capacity into workforce models.
Additional Details
This job has a full time weekly schedule.
It includes the option to work remotely.
Applications for this job will be accepted until at least July 4, 2026 or until the job is no longer posted.
Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels.
For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.

Your leadership will define how Agilent plans for growth, transformation, and productivity.

Partner with Finance to align workforce planning with annual operating plans, forecasts, long-range planning, and enterprise scenario modeling.

The full-time equivalent pay range for this position is $210,528.00 - $328,950.00/yr plus eligibility for bonus, stock and benefits.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

This listing is sourced directly from Agilent Technologies's careers page and normalized into a canonical job model.