Executive Director, Product, Data and AI Enablement

Bristol-Myers Squibb; Boudry; On-site; CHF 250,000 - 350,000; Full time

Job summary

Bristol Myers Squibb is seeking an Executive Director, Product, Data & AI Enablement for GDO. This senior role translates strategy into integrated AI-first product development, data, and analytics across GDO verticals.

You will lead a globally distributed team, drive AI governance, and ensure measurable business outcomes through product-led delivery. The role reports to the VP, Transformation & Innovation, and requires building partnerships across GDO, IT, and external vendors to scale

Qualifications

• Bachelor's degree required; advanced degree in Life Sciences, Medicine, Digital, Pharmacy, or Business preferred.

Responsibilities

• Owns product strategy, roadmap, and value realization across GDO verticals, including clinical trial analytics.
• Leads AI strategy, governance, lifecycle management of Agentic AI and analytics use cases.
• Owns the data and product innovation agenda for GDO and translates needs into scalable digital products.
• Leads the global pool of product developers and analysts across regions, ensuring high-quality delivery.
• Partners with senior stakeholders to align priorities and manage governance in a matrixed environment.
• Engages externally to identify collaborations and maintain scientific rigor and patient focus.

Skills

AI strategy

Product management

Data analytics

Stakeholder management

Education

Bachelor's degree

Advanced degree in Life Sciences/Medicine/Digital/Pharmacy/Business

Tools

AI governance tools

Job description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

The Executive Director, Product, Data & AI Enablement for GDO, is a senior leadership role within the Transformation & Innovation function, responsible for translating the GDO strategy into integrated AI first product development, data, and analytics capabilities across the GDO verticals.

Reporting to the Vice President, Transformation & Innovation, GDO, this role establishes the AI first vision, product-oriented operating model, governance, investment priorities, and delivery standards for these capabilities; leads a globally distributed organization of product developers and analysts across the US, Europe, and Hyderabad, India, who work as a shared talent pool under the Product Leads to deliver capabilities for the subject matter experts in each vertical; acts as a catalyst to enable data-driven decision-making across Global Development Operations; and accelerates the adoption of scalable digital products, AI-enabled solutions, and analytics that improve GDO performance, quality, speed, and patient impact. The role is critical to operating effectively in a highly matrixed environment, providing an essential bridge between strategy and execution and ensuring that AI innovation is translated into measurable business outcomes through product-led delivery, strong cross-vertical alignment, and transparent executive reporting.

Key Responsibilities

• Product Development & Value Delivery: Owns the product strategy, roadmap, and value realization across the GDO verticals, including clinical trial analytics. Establishes fit-for-purpose products, standards, measures, and decision-support capabilities that generate actionable insights across GDO planning, execution, enrollment, site and investigator performance, risk management, and operational needs. Accountable for investment cases, delivery outcomes, and adoption across the verticals.
• AI Strategy, Governance & Responsible Adoption: Leads the identification, prioritization, validation, and lifecycle management of Agentic AI and advanced analytics use cases within GDO. Partners with cross functional Development teams and senior business stakeholders to establish and steward a responsible AI governance framework, including agents/model risk management, explainability, human oversight, and adoption monitoring.
• Data, Product Innovation & Digital Enablement: Owns the data and product innovation agenda for GDO, converting unmet business needs and user insights into scalable, user-centered digital products and services. Defines and governs, together with the Product Leads and external vendors, the vision, target users, value hypotheses, and success measures; overseig…
• -Global Talent Pool & Delivery Model: Leads the global pool of product developers and analysts across the US, Europe, and Hyderabad, India, deployed under the Product Leads to serve the capabilities and subject matter experts of each vertical. Establishes AI first, enterprise-grade standards for product, data, and analytics delivery; sets capacity, sourcing, and capability-building priorities; and develops the leaders and talent bench required to scale. Ensures predictable, high-quality delivery with transparent reporting of outcomes, risks, dependencies, and decisions required.
• -Partnership & Stakeholder Management: Serves as a trusted thought partner to the VP, Transformation & Innovation. Builds outcome-driven partnerships and influences senior leaders across GDO LOB, Data & Digital, IT, and external partners to align product, data, and analytics priorities across verticals and to resolve competing demands in a highly matrixed environment.
• -External Ecosystem Engagement: Acts as a catalyst and external voice for GDO, scanning the external landscape for emerging technologies, analytics methods, AI applications, digital platforms, partnerships, and vendors relevant to clinical development operations. Establishes strategic collaborations and evaluates external solutions while maintaining scientific rigor, data integrity, patient focus, and compliance with applicable policies and regulations.

Qualifications & Experience

Bachelor's degree required; advanced degree in Life Sciences, Medicine, Digital, Pharmacy, or Business preferred (e.g., MD, PhD, PharmD, MBA, MS), or equivalent co