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Incyte · 3 weeks ago

Associate Director to Senior Director, PMO Capacity Management Lead

Wilmington, DE

Full-time

Onsite

Lead/Staff, Director/Executive

10+ years exp

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs. The Director, PMO Capacity Management Lead will standardize processes and drive strategic data/systems-based projects, ensuring data quality and analysis for capacity management initiatives while collaborating with key R&D partners.

BiotechnologyHealth CareMedicalMedical DevicePharmaceutical

Comp. & Benefits

Responsibilities

Lead the creation of robust cost models for clinical trials, factoring in variables such as patient recruitment, site management, drug supply, and regulatory requirements

Oversee the development of forecasts for clinical trial activities, incorporating timelines, resource demands, and project milestones to guide R&D planning

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

Support annual budgeting and forecasting processes with workforce related financial insights

Oversee the tracking and optimization of tax credits and incentives for orphan drug development, maximizing financial benefits

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

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

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

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

Qualification

Clinical Cost ModelingActivity-Based ForecastingPlaniswareFinancial PlanningAdvanced AnalyticsAI-based ModelsFinancial Reporting ToolsStakeholder ManagementBusiness AcumenCommunication SkillsLeadership Skills

Required

Bachelor's degree in Finance, Accounting, Business Administration, Life Sciences, or a related field (MBA, CPA, or advanced degree preferred)

10+ years of experience in financial planning, forecasting, or budgeting within pharmaceutical R&D or a related industry

Proven expertise in clinical cost modeling, activity-based forecasting, portfolio management, and process improvement

Experience with Planisware or similar systems for resource and financial management

Deep understanding of pharmaceutical R&D processes, including clinical trial phases and clinical trial budgeting models

Strong analytical and financial modeling skills, with proficiency in advanced analytics and forecasting algorithms

Experience working with AI-based models for forecasting, including knowledge of machine learning frameworks and data science principles

Ability to ensure transparency through documentation of forecasting models, including inputs, calculations, and assumptions

Ability to partner with technical and operational teams to drive financial insight while managing multiple priorities

Strong business acumen with the ability to work independently and manage multiple priorities

Understanding of project-based accounting or resource planning principles

Excellent leadership, communication, and stakeholder management skills

Advanced proficiency in Planisware, ERP systems, and financial reporting tools; Proficient in Excel and financial reporting tools; experience with SQL, Power BI, Tableau, or similar platforms preferred

Familiarity with financial systems (e.g., Oracle, SAP, Adaptive Insights, Hyperion) and project costing concepts