Senior Product Director, Enterprise AI R&D

Key Responsibilities

• Own and maintain the enterprise roadmap for AI in R&D and Quality, ensuring alignment with the company’s AI Big Bets.
• Strengthen organizational alignment by delivering clear and timely communications that help leaders understand strategic direction and progress while keeping the broader organization informed of key objectives and outcomes.
• Stay current on AI, regulatory, and industry trends to guide prioritization and strategic investment, helping the business anticipate change, mitigate risk, and capitalize on emerging opportunities.
• Partner with Quality, Segments, STO, and IT to define scope, benefits, and requirements for enterprise priority initiatives, ensuring investments are aligned, resourced appropriately, and positioned to deliver measurable business value.
• Translate business and engineering needs into clear definitions of value, scope, requirements, and “ready” criteria.
• Define and maintain the definition of “ready” for AI tools, ensuring alignment with validation, governance, and QMS expectations.
• Drive measurable productivity gains and EBIT impact through disciplined sequencing of AI use cases.
• Engage champion segments to pilot, refine, adopt, and scale validated AI solutions, ensuring operational sponsorship, accelerating learning cycles and reducing risk ahead of broader enterprise deployment.
• Act as a constant communicator—upward, downward, and across—ensuring alignment, transparency, and momentum.
• Maintain a healthy funnel of new AI use case opportunities, partnering across the enterprise to identify, assess, and prioritize, which enables disciplined investment and maximizes return on AI innovation.
• Ensure compliance with Responsible AI, cybersecurity, privacy, and GxP validation frameworks, safeguarding product quality and patient safety and ensuring all AI solutions meet the highest industry and regulatory standards.
• Communicate benefit realization, adoption progress, and risk mitigation to executive stakeholders, strengthening accountability and helping leadership prioritize resources toward the highest-value initiatives.

Qualifications & Requirements

• Bachelor’s or advanced degree in engineering, computer science, or related technical field.
• 12+ years of industry experience with at least 6 years leading complex cross-functional initiatives.
• Expertise in AI/ML technologies including LLMs, RAG, validation methods, and responsible AI practices.
• Strong understanding of regulated R&D processes, Design Controls, and Quality Management Systems.
• Proven success in product management, program leadership, or technical portfolio governance.
• Experience quantifying business value, defining ROI, and driving measurable outcomes.

Desired Expertise

• Exceptional communication, storytelling, and executive influence skills.
• Experience designing or deploying enterprise AI platforms or complex digital ecosystems.
• Strong systems-thinking approach with ability to model workflows and identify AI leverage points.
• Ability to lead through ambiguity and build alignment across distributed teams.

Success Measures

• Reduction in non-value-added engineering time across segments.
• Improved innovation cycle time and acceleration of product development.
• Demonstrated EBIT impact from AI-enabled automation.
• Adeption and scaling of validated AI tools across segments.
• Robust, continuously refreshed pipeline of AI opportunities.