AI Director, Development Global Clinical Operations

Overview

In this AI Director role, you shape the AI-native Development Operations strategy to accelerate clinical trial delivery. You work with SMEs and technology teams to prototype and deploy AI-enabled workflows at scale, while guiding build-buy-partner decisions with commercial rigor. You will drive portfolio prioritization, vendor evaluation, and adoption strategies to deliver measurable trial outcomes. This role combines strategy, hands-on solution-building, and deployment judgment within a global, cross-functional setting.

Pay / Benefits

• annual bonus
• long-term incentive program
• healthcare benefits for employee and family
• retirement benefits
• paid holidays and vacation
• paid caregiver/parental and medical leave

Responsibilities

• Define and road-map AI-native Development Operations strategy aligned to clinical outcomes
• Prioritize AI opportunities across Development Operations in line with R&D priorities
• Scan external AI landscape and translate findings into strategy and build-buy-partner choices
• Define and manage build-buy-partner approaches with vendor evaluations when needed
• Develop and defend business cases with ROI and stage-gate discipline
• Shape deployment strategy and architecture with enterprise AI, data, security and regulatory teams to ensure scalable delivery
• Drive cross-functional alignment for the AI-native strategy across the enterprise
• Partner with R&D leaders to identify bottlenecks and measurable outcomes for AI capabilities
• Lead 0-to-1 incubation: frame hypotheses, build prototypes, define evidence for scaling or pivoting
• Define adoption strategy including workflow redesign and change interventions for scaled deployment
• Manage stakeholder relationships with senior leaders and external vendors to secure sponsorship and value

Key requirements

• Bachelor’s degree in Life Sciences, Engineering, Computer Science, or related field
• Extensive experience in applied AI/technology or pharma strategy from a leading AI/tech consultancy or comparable environment
• Deep understanding of clinical operations and clinical development
• Strong knowledge of industry trends shaping clinical trials
• Proven track record building business cases and delivering AI-enabled transformation with measurable outcomes
• Technical depth across AI, data and technology with ability to design and build with technical teams
• Strong commercial judgment in shaping vendor decisions in complex enterprises
• Exceptional written and verbal communication for senior audiences
• Hands-on experience with AI-native development tools and frontier tools (e.g., Claude Code, Codex)

• Strategic thinking
• Stakeholder management
• Commercial acumen
• AI-native development tools
• Frontier agentic development tools (Claude Code, Codex)
• Prototype development and rapid prototyping

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