Senior Product Manager, AIML

GSK • Upper Providence, PA

1d • $127,050 - $211,750 • Hybrid

About The Position

The Senior Product Manager, AI/ML at GSK leads the end-to-end development of AI-driven products, from ideation through launch. The role works independently on complex problems and collaborates with internal and external technical teams, senior leaders, and cross-functional stakeholders to define, develop, and deliver AI products aligned with GSK’s broader delivery strategy. It calls for a deep understanding of data, machine-learning methodologies, and software engineering processes to create products that address user needs and support healthcare innovation.

The position shapes product vision and strategy, guides iterative development, and ensures products meet agreed goals and timelines. It also drives data requirements and strategy for model development, contributes to AI risk management, and upholds data governance, ethics, and compliance processes. The role is hybrid, based in the United States, with a flexible blend of remote and on-site work.

Requirements

• Experience translating business strategy into actionable plans, including setting objectives and delegating work to team members.
• Experience making data-driven decisions that balance speed, quality, and risk.
• Experience leading and managing team performance within a matrix organization.
• Experience delivering projects or programs to defined quality standards and timelines.
• Experience leading change initiatives across a matrix organization.
• Experience supporting team engagement and performance during periods of high workload or organizational change.
• Experience sharing knowledge and best practices with internal and external colleagues.
• Experience building and managing relationships with internal and external stakeholders.

Nice To Haves

• Advanced degree and/or practical job-related experience in pharma or drug discovery and machine learning.
• Deep expertise in a basic science such as biology, chemistry, physics, or mathematics.
• Expertise in cellular imaging or spatial biology.
• Experience in clinical, late-stage applications and patient outcomes.
• Experience with software product management and delivery cycles.
• Experience with coding, software engineering, and agentic architectures.
• Ability to influence, communicate, and negotiate with all levels of management across functional and business-unit boundaries.
• Experience organizing and motivating teams from multiple departments, including matrix team members outside one's direct control.
• Ability to understand process-improvement and change-management issues associated with the product-delivery lifecycle.

Responsibilities

• Assess AI product objectives, articulate the rationale and scope, and establish success metrics.
• Understand the broader delivery and data strategy and ensure plans are executed successfully.
• Apply analytical skills and knowledge of software engineering best practices, coding, and integration with agentic frameworks to product development.
• Keep product improvement and delivery on track through clear communication across teams and stakeholders, aligned with agreed goals and timelines.
• Use Agile practices, inspection, adaptation, and continuous improvement in iterative development.
• Represent customer or user needs through discovery and address unmet needs.
• Define and drive data requirements and strategies, ensuring appropriate sequencing in model development and timely project delivery.
• Contribute to management of the AI Risk register and uphold GSK data governance standards.
• Ensure projects follow planning, reporting, ethics, and governance processes.
• Translate business strategy into actionable plans, set objectives, and delegate work to team members.
• Make data-driven decisions that balance speed, quality, and risk.
• Lead and manage team performance within a matrix organization, deliver projects to defined quality standards and timelines, and lead change initiatives.
• Support team engagement and performance through high workloads or organizational change.
• Share knowledge and best practices and build relationships with internal and external stakeholders.

Benefits

• Annual bonus.
• Eligibility to participate in a share-based long-term incentive program, dependent on role level.
• Health care and other insurance benefits for employees and family.
• Retirement benefits.
• Paid holidays.
• Vacation.
• Paid caregiver, parental, and medical leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed