Intuit is looking to evolve its Demand Planning function within the Workforce Management (WFM) organization by building and scaling models, systems, and processes that forecast enterprise demand to align capacity, staffing, and investment with operational realities.
Requirements
- 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.
- Experience building forecasting systems at scale, including model management and data pipeline integration.
Responsibilities
- 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.
- 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.
Other
- 10+ years of experience in data science, forecasting, or quantitative workforce planning, with a proven track record of leading high-impact technical teams.
- Manage and grow a high-performing team of data scientists and analysts who specialize in demand modeling and scenario planning.
- Foster a planning culture grounded in scientific thinking, modeling excellence, and strategic relevance.
- Strong communication skills with experience influencing cross-functional executives.
