Lead Data Strategy

Lead Data Strategy

Summary: The Lead Data Strategy is a senior-level strategist responsible for defining how the organization collects, manages, and leverages data to drive scientific and business value. This role focuses on creating a cohesive data vision that breaks down departmental silos and ensures that data assets are optimized for research, clinical excellence, and operational efficiency. You will be the primary architect of the data roadmap, ensuring that the organization’s data infrastructure evolves in lockstep with the rapidly changing Life Science landscape.

Key Requirements:

• Proven professional experience in the Life Science sector, with deep knowledge of data lifecycle management in a regulated environment, including GxP, clinical data standards, and HIPAA/GDPR compliance.

• Minimum of 8 years of experience in data strategy, data architecture, or digital transformation, with a focus on enterprise-level data initiatives.

• Strong expertise in designing data governance frameworks and data quality programs specifically tailored for pharmaceutical or biotech requirements.

• Proven ability to influence senior leadership and lead cross-functional workshops to align business needs with technical data capabilities.

• Full professional proficiency in English, with the ability to articulate complex data strategies to both scientific researchers and technical IT teams.

Main Responsibilities:

• Define and own the enterprise data strategy and roadmap, ensuring alignment with the organization’s R&D and commercial objectives.

• Act as the strategic lead for data governance, ensuring that all data-related activities meet the highest standards of integrity, security, and regulatory audit-readiness.

• Identify and prioritize high-value data use cases, from optimizing clinical trial recruitment to enhancing real-world evidence (RWE) analytics.

• Partner with the AI and Analytics teams to ensure the data foundation is robust, scalable, and fully prepared for advanced machine learning applications.

• Evaluate and manage strategic partnerships with external data providers and technology vendors to enhance the organization's data capabilities.