**Overview** We are looking for a strategic, data science-driven leader to own and evolve the **Demand Planning function** within the Workforce Management (WFM) organization. In this M3 role, you will be responsible for building and scaling the models, systems, and processes that forecast enterprise demand—helping the company align capacity, staffing, and investment with the realities of a dynamic, customer-centric operation. This is not a traditional planning role— **demand planning is the function, and data science is the craft.** You will lead a team that applies advanced modeling techniques, scenario analysis, and deep business context to forecast volume, case mix, seasonality, and other demand drivers that influence how we staff, budget, and operate. **What you'll bring** + 10+ years of experience in data science, forecasting, or quantitative workforce planning, with a proven track record of leading high-impact technical teams. + Expertise in applied statistics, time series forecasting, machine learning, and experimentation. + Proficiency in Python or R, SQL, and modern ML/forecasting libraries (e.g., Prophet, scikit-learn, XGBoost, PyTorch, TensorFlow). + Deep understanding of workforce planning principles—capacity, productivity, SLAs, and staffing models. + Demonstrated ability to apply data science to complex operational and strategic business problems. + Strong communication skills with experience influencing cross-functional executives. + Experience building forecasting systems at scale, including model management and data pipeline integration. **How you will lead** + **Own the enterprise-wide demand forecasting strategy** , ensuring it is rigorous, data-informed, and embedded in operational and financial planning cycles. + **Design and lead the development of predictive models** using time series analysis, machine learning, and simulation methods to forecast future workforce demand. + **Translate complex business signals into model features** , accounting for drivers such as customer volume, operational complexity, product launches, and policy changes. + **Manage and grow a high-performing team** of data scientists and analysts who specialize in demand modeling and scenario planning. + **Operationalize forecasting outputs** by delivering timely, accurate, and scenario-based projections to partners across Finance, Capacity Planning, and Operations. + **Build scalable infrastructure** to support automated pipelines, forecast versioning, model monitoring, and reproducibility in partnership with data engineering. + **Continuously evaluate and improve forecast performance** , incorporating new data sources, evolving business needs, and changes in planning granularity. + **Influence key decisions through clear communication of forecast insights** , risks, and trade-offs with executive stakeholders. + **Foster a planning culture grounded in scientific thinking** , modeling excellence, and strategic relevance. _Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_ Southern California: $222,000 - $300,000 _This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at_ _Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/)_ _)._ _Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender_ EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.