Strategic Workforce Planning Operations, Senior Manager
Job Summary
The Strategic Workforce Planning (SWP) Operations Senior Manager is responsible for building and operationalizing the SWP forecasting methodology, modeling workforce supply and demand, and enabling the data infrastructure and AI systems that power strategic workforce insights.
Responsibilities
Design and build the SWP forecasting methodology, including supply/demand modelling frameworks, scenario planning models, and workforce forecasting algorithms; partnering with Talent Intelligence and Workforce Insights to incorporate supply data into consolidated modelling
Develop and maintain quantitative workforce models that forecast headcount, skills gaps, and capability needs across business units and time horizons, integrating data across skills, capabilities, and headcount dimensions
Translate strategic workforce priorities into structured analytical models, ensuring models are scalable, repeatable, and aligned to enterprise planning cycles
Understand and incorporate forward-looking aspects of SWP including skills, tasks, AI augmentation data, and future of work signals into the analysis and methodology
Set model standards, documentation, and governance protocols to ensure consistency, auditability, and reusability of all SWP models across the enterprise
Qualifications
7+ years of progressive experience in workforce analytics, people analytics, HR data science, or workforce planning
Bachelor's degree in a quantitative field (Statistics, Industrial/Organizational Psychology, Mathematics, Economics, Computer Science) required; Master's degree an advantage
Demonstrated experience building or supporting workforce forecasting and supply/demand models in an organizational context
Proficiency in data analysis tools such as Excel and SQL; familiarity with Python or R an advantage
Exposure to HR technology, workforce planning systems, or AI/ML tools; experience with Anaplan is a plus
Working knowledge of HRIS data structures, people data governance, and data reporting methodologies
Experience working with cross-functional data and technology teams to deliver scalable analytical solutions
Skills and Attributes
Deep analytical and quantitative skills; ability to build rigorous models and translate complex outputs into actionable insights
Technical acumen with proficiency in data visualization, statistical modelling, and AI/ML principles
Strong attention to detail and commitment to data accuracy, integrity, and governance
Ability to communicate complex technical findings to non-technical stakeholders clearly and compellingly
Intellectually curious with a passion for leveraging data and AI to solve complex workforce challenges
Collaborative and influential team player with the ability to work across HR, Technology, Finance, and Operations
Comfort with ambiguity; able to design and iterate on analytical solutions in a fast-moving environment