Senior Director Scientific Digital and AI Products

GSK • Upper Providence, PA

2d • $232,650 - $387,750 • Hybrid

About The Position

The Senior Director Scientific Digital and AI Products provides senior leadership and end-to-end accountability for CMC’s scientific data, application, and AI product portfolio. The role leads a multidisciplinary team spanning forward-deployed engineering, data and application product management, and agentic AI product strategy, and sets the integrated vision, strategy, and roadmap for how those capabilities are prioritized, resourced, and delivered to support clinical-to-commercial manufacturing and control needs.

The role is accountable for building and developing a high-performing, cohesive team; the quality, compliance, and value of the team’s work; and representing CMC’s scientific data and AI capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership. It also oversees portfolio governance, data quality, GxP compliance, budget and resourcing, and portfolio-level performance metrics.

The position is based in the United States and uses a hybrid work model, combining remote work with on-site collaboration.

Requirements

• Bachelor’s degree in computer science, data science, data engineering, artificial intelligence/machine learning, bioinformatics, engineering, life sciences, or a closely related scientific or technical field.
• 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery.
• Substantial experience leading and developing multidisciplinary teams spanning engineering, product management, and AI product leadership that deliver production-grade data and AI-enabled solutions; pharmaceutical, CMC, or other GxP-regulated experience is ideal.
• Demonstrated experience managing senior- or manager-level direct reports.
• Experience leading, hiring, and developing managers and their teams across engineering, product management, and engineering or data science.
• Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy, with the ability to set direction and make trade-offs across these areas.
• Excellent stakeholder management and influencing skills, including the ability to align senior scientific, technical, quality, and enterprise leaders.
• Track record managing budgets, headcount, and resources, including external technology partners and contractors.
• Working knowledge of data governance, model validation, data quality, and responsible AI practices in a regulated Good Practice (GxP) environment.
• Strong analytical skills, including defining portfolio-level metrics and using evidence to guide priorities and investment.
• Experience with senior accountability for production data and AI products, including architecture, delivery, and regulatory trade-offs.
• Experience evaluating, governing, and negotiating with third-party AI and data platforms, vendors, and technology partners.
• Commercial and strategic judgment to balance scientific value, technical feasibility, regulatory constraints, and business priorities.

Nice To Haves

• Master’s degree or PhD in a scientific, data science, AI/ML, or engineering discipline, or relevant senior leadership, product, or AI/cloud platform certifications.
• Proven ability to set and communicate integrated portfolio strategy, translating scientific and operational priorities into a clear, resourced roadmap.
• Skill in coaching and developing talent, building succession plans, and fostering a culture of technical excellence and continuous improvement.

Responsibilities

• Provide senior leadership and line management for the CMC Scientific Data & AI Products team across forward-deployed engineering, data and application product management, and agentic AI product strategy.
• Own the team's delivery, quality, and value realization, ensuring its engineering, product management, and AI strategy functions work cohesively toward shared CMC priorities.
• Set and communicate the integrated strategy and roadmap for CMC’s data, application, and agentic AI product portfolio, aligning investment and resourcing with functional and enterprise priorities.
• Lead, coach, and develop direct reports and their teams, including capability building, succession planning, and career pathways across engineering, product management, and AI product leadership.
• Serve as the senior escalation point and decision-maker for cross-functional trade-offs among deployment, delivery, and strategic AI initiatives.
• Represent CMC’s data and AI product capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership, securing sponsorship, resources, and alignment.
• Own governance, data quality, and GxP compliance for the team's products and deployments, ensuring consistent standards across delivery streams.
• Manage the team’s budget, headcount, and resourcing, including external technology partners and contractors, and allocate capacity across priorities.
• Define and track portfolio-level success metrics to evaluate performance, prioritize investment, and report progress to senior leadership.
• Champion responsible and compliant AI, data engineering, and product management practices, fostering technical excellence, adoption, and continuous improvement.

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