Head of Resource Forecasting & Analytics

EMD Serono, Inc.; Billerica (MA); Hybrid; USD 172,000 - 258,000; Full time

Benefits offered by this job

Health insurance

PTO

Retirement contributions

Job summary

EMD Electronics is seeking a Director of Resource Forecasting & Analytics to partner with global Healthcare R&D leaders, translating complex resource data into actionable insights that shape portfolio decisions and drive operational performance.

You will own sophisticated forecasting models, influence senior stakeholders across geographies, and evolve analytical frameworks underpinning R&D-wide resource management.

Qualifications

• 8+ years of relevant experience in biopharma R&D resource forecasting and analytics.
• Strategic partner to senior leaders in a matrixed R&D environment preferred.
• Experience delivering high-complexity analytics with measurable impact.
• Academic background in science, business or data science; fluency in English; German a plus.

Responsibilities

• Serve as a senior business partner and trusted advisor to R&D functional leaders.
• Lead design and delivery of forecasting models and analytics solutions.
• Drive forecasting methodologies and analytical capabilities across regions.
• Own data governance, quality, and standards for resource forecasting data.
• Translate portfolio assumptions into robust scenario-based forecasts for leadership.
• Coordinate cross-functional groups to align forecasting practices.

Skills

Strategic partnerships

Forecasting analytics

AI/ML familiarity

Data visualization

Excel

PowerPoint

Communication skills

Cross-functional leadership

Education

Master’s degree, MBA, or PhD

Tools

Planisware

Tableau

ERP/data systems

CRM/data governance tools

Job description

EMD Electronics is seeking a Director of Resource Forecasting & Analytics to partner with global Healthcare R&D leaders, translating complex resource data into actionable insights that shape portfolio decisions and drive operational performance.

You will own sophisticated forecasting models, influence senior stakeholders across geographies, and evolve analytical frameworks underpinning R&D-wide resource management.