Associate Director to Senior Director, PMO Capacity Management Lead

Overview

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value.

The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules.

Director, PMO (Project Management Office) Capacity Management Lead will standardize processes and drive key strategic data/systems-based projects while being responsible for data quality, data maintenance and data analysis for various capacity management related initiatives. Must have a solid understanding of business operations, financial processes, and resource management concepts.

This role will provide support and guidance to key R&D partners on capacity management systems, tools, data, and processes. You will lead the design, and support the development and delivery, of various activity-based models within our Planisware system.

• Clinical Cost Modeling:
  Lead the creation of robust cost models for clinical trials, factoring in variables such as patient recruitment, site management, drug supply, and regulatory requirements. Refine cost models for clinical trials, incorporating financial assumptions and benchmarks.
• Activity-Based Forecasting:
  Oversee the development of forecasts for clinical trial activities, incorporating timelines, resource demands, and project milestones to guide R&D planning. Direct the calculation of estimate to complete (ETC) while leveraging remaining timeline assumptions to ensure accurate projections and forecasts.
• Planisware Algorithm Oversight:
  Manage and validate Planisware algorithm models for financial forecasting, ensuring transparency in inputs (e.g., cost drivers, trial milestones), calculations (e.g., cost allocation formulas), and assumptions. Maintain clear documentation and reporting of Planisware algorithm inputs, calculations, and assumptions to support auditability and stakeholder confidence.
• Strat Plan, Budget, and Forecasts:
  Support annual budgeting and forecasting processes with workforce related financial insights. Support the alignment of financial and resource data with project and study assumptions for the annual Strategic Planning and Budget Processes. Provide information necessary to support quarterly Forecast and Monthly Planning and Control Processes.
• Orphan Drug Credits:
  Oversee the tracking and optimization of tax credits and incentives for orphan drug development, maximizing financial benefits
• Business Analysis and Reporting:
  Prepare and deliver recurring and ad-hoc financial reports to finance leadership and business partners. Provide actionable financial insights through variance analysis, cost-benefit analysis, scenario planning, and other reporting solutions. Translate complex financial/resource management data into clear, actionable insights for both finance and non-finance audiences. Analyze headcount, labor cost, and utilization data to support resource planning
• Cross-Functional Collaboration:
  
  Partner with Finance (FPA), clinical operations, regulatory, and development project management teams to ensure forecasting aligns with trial milestones and operational needs. Collaborate with the Business Intelligence Resources within the PMO Team to deliver requirements and develop dashboards to manage resource spending and capacity planning.
• Process Improvement and Oversight:
  Oversee the design, implementation, and standardization of forecasting and budgeting processes, ensuring consistency, efficiency, and compliance with industry best practices. Lead initiatives to identify inefficiencies, streamline workflows, and implement process enhancements to improve forecasting accuracy and budgeting effectiveness.

• Advanced Analytics and Forecasting Innovation

Collaborate with the internal Artificial Intelligence Team to explore innovative solutions, such as migrating forecasting models from Planisware to AI-driven platforms for improved algorithm development and continuous refinement.

Drive the adoption of AI-powered processes to optimize resource allocation, predict clinical trial forecasts, and enhance decision-making processes. Work with other internal teams to develop AI-based forecasting models that adapt over time, leveraging machine learning to refine predictions based on historical data and real-time inputs.

Investigate alternative design approaches for forecasting and capacity management, ensuring scalability, flexibility, and alignment with organizational goals. Lead discussions on system transitions, model redesigns, and the incorporation of advanced analytics to support long-term strategic objectives.

• Bachelor's degree in Finance, Accounting, Business Administration, Life…