Senior Director, Applied AI, Design & Innovation

Core Responsibilities

• Define and own the multi-year Applied AI roadmap for Clinical Development & Operations, aligned to Gilead's enterprise AI strategy and portfolio priorities.
• Build, scale, and lead a center-of-excellence team spanning data science, ML engineering, GenAI product development, and AI delivery management.
• Establish governance, prioritization frameworks, KPIs, and ROI/value-realization models that quantify AI's impact at the trial, program, and portfolio level.
• Serve as the executive voice of Applied AI to Senior Leadership, R&D governance forums, and external partners.

Additional Responsibilities

• Translate clinical and operational needs into actionable innovation and AI strategies, delivery plans, business cases, and measurable outcomes.
• Partner with Clinical Development, Clinical Operations, Clinical Data Science (AI Research Center, Clinical & Development Systems, Biostatistics), Regulatory, Portfolio Strategy & Analytics, Medical Affairs, IT, Digital, and other stakeholders to translate innovation priorities into scalable capabilities and operating improvements.
• Support governance and decision-making processes by preparing strategic recommendations, facilitating prioritization discussions, and communicating proposals, trade-offs, and decision options to senior stakeholder audiences.
• Lead the development and governance of frameworks for identifying, testing, validating, integrating, scaling, and monitoring new capabilities across process, technology, data, analytics, and AI.
• Define, develop, and track KPIs, value measures, and ROI frameworks to quantify the impact of innovation and AI capabilities at the study, program, and functional levels.
• Establish governance standards for business cases, value tracking, adoption measures, scale-up criteria, and stop, pivot, or expand decisions across the innovation portfolio.
• Shape and operationalize an innovation portfolio that balances near-term business impact with longer-term capability building.
• Strategically identify emerging external capabilities across start-ups, mid-sized organizations, and enterprise partners to accelerate innovation and create meaningful gains in speed, quality, and value.
• Partner with Digital, IT, data science, and enterprise technology teams to support scalable architecture, integration, and deployment approaches for new capabilities.
• Drive responsible implementation of AI-enabled capabilities with appropriate rigor around business value, adoption, usability, privacy, transparency, bias and risk management, compliance, and human-in-the-loop oversight.
• Inform and influence corporate and regulatory policies and external guidance related to clinical development innovation, including patient-centricity, diversity, accessibility, decentralization, digital health, real-world evidence, and responsible use of AI.
• Lead and support the creation of governance documents, procedural documentation, white papers, abstracts, presentations, manuscripts, and other thought leadership materials.
• Promote awareness, adoption, and change management for innovation- and AI-enabled processes across the organization through playbooks, communications, training, and ongoing engagement.
• Build organizational capability in innovation, digital, and AI-enabled ways of working by helping teams adopt new tools, practices, and decision models at scale.
• Provide functional financial oversight, including latest estimates, resource planning, and communication across clinical and finance stakeholders.
• Lead recruitment, development, and performance management for a team of full-time employees, contractors, and external partners.