Strategic Workforce Intelligence Partnership with a $10.5B Biotechnology Leader
Discover How Draup Enabled Data-Driven Workforce Planning for a Global Biotech Company
About the Company
A global biotechnology leader, the company focuses on developing transformative treatments for serious diseases. As it expands across therapeutic areas and geographies, the company has prioritized strategic workforce planning, advanced talent intelligence, and data-driven decision-making to support growth in emerging domains such as Gene Therapy, CMC Quality, and Commercial Launch Readiness.
Before Draup
1
Limited Visibility into Talent Intelligence
Fragmented data on external talent across Gene Therapy, CMC Quality, and Commercial roles hindered targeted hiring and succession planning.
2
Time-Intensive Role Mapping
Depended on recruiter networks and agencies for senior hires, slowing down searches and reducing scalability.
3
Unstructured Peer Benchmarking
Required extensive manual research to understand peer organizational models, limiting clarity on optimal Commercial, Quality, and R&D structures.
4
Geographical Concentration
Workforce planning was heavily centered in Boston, with limited data on regional or national talent supply.
The Core Challenges
To unify mid-to-senior talent intelligence across therapeutic areas.
To build visibility into peer organizational models for data-backed restructuring.
To accelerate senior role mapping and enhance workforce scalability.
To expand geographic insights for balanced hiring across U.S. regions.
The Solution
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Outcome
Enhanced Strategic Workforce Visibility
Unified, real-time view of mid-to-senior pharma roles with instant access to talent availability, skills, and experience benchmarks.
Informed Organizational Design
Data-backed restructuring of Commercial, Quality, and R&D functions, ensuring scalable leadership and efficient team design.
Accelerated Senior Hiring
Reduced time-to-hire for niche leadership roles and improved pipeline readiness in Gene Therapy and CMC Quality.
Geographic Talent Optimization
Deep regional visibility, especially in Boston, enabled balanced, data-driven workforce planning and reduced hiring bottlenecks.
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