Senior Director, Scientific Data & AI Products

GlaxoSmithKline plc; Upper Providence (Delaware County); Híbrido; USD 233.000 - 388.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Health care benefits

Retirement benefits

Paid holidays and leave

Descripción de la vacante

GlaxoSmithKline plc in the United States seeks a senior leader to own CMC's scientific data and AI product portfolio. This role leads a multidisciplinary team across engineering, data and product management, and AI strategy, setting a unified roadmap aligned with R&D and enterprise priorities.

You will shape governance, data quality, and GxP compliance for all deployments, manage budget and headcount, and communicate strategy to senior stakeholders.

Formación

• Bachelor's degree in computer science, data science, AI/ML, or related field.
• 12+ years of experience across data engineering, AI/ML, or agentic product management.
• Experience leading multidisciplinary teams and senior reports in regulated environments.
• Strong stakeholder management and governance experience in GxP contexts.

Responsabilidades

• Provide senior leadership for the CMC Scientific Data & AI Products team across engineering, data, product management, and AI strategy.
• Own accountability for delivery quality, value realization, and cohesive operation across disciplines.
• Set and communicate integrated strategy and roadmap for data, applications, and agentic AI products.
• Manage budget, headcount, external partners, and governance with enterprise priorities.

Conocimientos

Artificial Intelligence

AI Ethics

Neural Networks

Classification Models

Deep Learning

Intelligent Automation

Machine Learning

Predictive Modeling

Python

Educación

Bachelor's degree in computer science / data science / AI / engineering

Master's degree or PhD (preferred)

Descripción del empleo

GlaxoSmithKline plc in the United States seeks a senior leader to own CMC's scientific data and AI product portfolio. This role leads a multidisciplinary team across engineering, data and product management, and AI strategy, setting a unified roadmap aligned with R&D and enterprise priorities.

You will shape governance, data quality, and GxP compliance for all deployments, manage budget and headcount, and communicate strategy to senior stakeholders.