Senior Director R&D Portfolio Data Strategy & Insights

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Company Overview
A global pharmaceutical and biotechnology organization is seeking a Senior Director for R&D Portfolio Data Strategy & Insights. The organization focuses on advancing immunoscience, oncology, rare diseases, neurology, and vaccines. It leverages AI-powered research and digital transformation to deliver innovative solutions and accelerate scientific breakthroughs across its global R&D operations.

Summary
The Senior Director R&D Portfolio Data Strategy & Insights will provide strategic leadership for data, AI, and GenAI initiatives within R&D Project and Portfolio Management. This role is essential for building and maintaining a high-quality, FAIR (Findable, Accessible, Interoperable, Reusable) data foundation that enables robust portfolio analytics, pipeline reporting, competitive intelligence, and strategic decision-making across the organization.

Responsibilities

• Provide strategic leadership and vision for Data, AI, GenAI, and Agentic AI initiatives across R&D Project and Portfolio Management
• Lead delivery of AI data products to generate transformational impact across portfolio and project analytics
• Develop and improve foundational data assets, ensuring adoption of governance standards across all R&D applications
• Drive operational innovation using advanced analytics, machine learning, computer vision, GenAI, and Agentic AI to optimize decision-making
• Establish and maintain strategic partnerships with internal stakeholders across Project Management, R&D Digital, Portfolio Analytics, Finance, and Data Office
• Prioritize and plan roadmaps for AI transformation initiatives, balancing short-term wins with long-term strategic objectives
• Lead digital transformation initiatives that leverage data as a strategic asset
• Implement comprehensive data governance frameworks supporting portfolio analytics and strategic decisions
• Standardize data definitions and ensure interoperability across R&D systems and platforms
• Ensure quality, accuracy, and completeness of portfolio-critical data
• Act as a subject matter expert for portfolio data and provide guidance on data stewardship, ownership, and compliance
• Engage with senior leaders and cross-functional teams to translate data governance requirements into actionable frameworks
• Monitor adoption of data best practices and foster a data-driven culture

Qualifications

• Advanced degree (Ph.D., MBA, or equivalent) in life sciences, pharmaceutical sciences, Data Science, or related field
• Minimum 10 years of experience in portfolio data strategy, portfolio management, analytics, or a related field within pharmaceutical or biotechnology industries
• Expert knowledge of data governance frameworks, metadata management, and data cataloging
• Strong leadership, strategic thinking, and stakeholder influence skills
• Deep understanding of AI and machine learning principles, particularly data requirements for AI applications
• Hands-on experience with building and deploying data and AI solutions, enabling end-user adoption
• Proven ability to develop new capabilities and collaborate effectively across functions
• Fluent in English, both written and verbal

Disclaimer
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