Director / Sr / Exec Dir - Applied Intelligence for Discovery (AI4D)

About the role

The Executive Director of Applied Intelligence for Discovery (AI4D) will own the technical vision and execution for AI capabilities that enable discovery researchers across therapeutics areas to work in entirely new ways. You will partner with senior leaders across the organization to align these capabilities with research priorities, secure the resources to deliver on the vision, and drive adoption that turns platform potential into scientific impact.

Responsibilities

• Build and lead a multidisciplinary team spanning data science, ML engineering, and scientific software development
• Set technical vision and roadmap for AI/ML platforms serving discovery research, aligning capabilities with enterprise priorities
• Own the full platform lifecycle — from identifying and integrating new AI capabilities to sunsetting legacy solutions, optimizing for overall portfolio performance as research priorities evolve
• Guide architecture decisions for end-to-end ML workflows: data pipelines, feature engineering, model development, deployment, and monitoring
• Serve as executive champion for AI capabilities, articulating value to senior partners and influencing resource allocation
• Identify, establish, and manage strategic partnerships with technology providers and research institutions to expand platform capabilities
• Drive adoption of MLOps practices that enable reproducible, automated, and compliant AI development at scale
• Partner with technology and therapeutic area leaders to envision and complete high-impact AI applications and translate research requirements into platform capabilities
• Work across organizational boundaries in a complex matrixed environment to align platform strategy with scientific priorities

Qualifications

• Bachelor's degree, Master’s degree or PhD in Computer Science, Data Science, Computational Biology, or related field
• Minimum 15 years experience in AI/ML or data science
• Proven track record driving AI/ML from concept to scaled deployment in complex matrixed organizations
• 5 + years leading teams with preference building them to scale
• Deep expertise in modern ML frameworks, MLOps practices, and cloud platforms (AWS/Azure/GCP)
• Demonstrated track record of driving AI/ML capabilities from concept through scaled deployment in complex, matrixed organizations — with evidence of measurable impact on business outcomes, not just model performance
• Ability to translate between scientific research questions and technical solutions
• Experience navigating cross-functional dynamics and influencing without direct authority
• Experience in pharmaceutical, life sciences, or healthcare industries