Product Manager, Data and AI

GlaxoSmithKline - Philadelphia, PA

Full-time - Mid Level

Philadelphia, PA

Chemical Manufacturing

About the position

The Product Manager for Data and AI in Manufacturing & Engineering at GSK is responsible for managing D&A products that enhance the success of manufacturing activities within the Global Supply Chain. This role serves as a strategic link between business and technology, leveraging expertise in data and analytics to define product visions and roadmaps. The position involves collaboration with various stakeholders to identify opportunities, prioritize work, and ensure the delivery of high-quality D&A solutions aligned with business objectives.

Responsibilities

• Manage Data & AI products to improve manufacturing and engineering activities.
• Act as a strategic bridge between business and tech/data worlds.
• Define and agree on vision and roadmaps for D&A products.
• Work closely with business stakeholders to identify opportunities and assess value.
• Oversee an annual budgetary spend and manage third-party data/tech specialists.
• Define and refine D&A product visions, strategies, and roadmaps.
• Own the D&A product backlog and participate in planning sessions.
• Engage with the D&A Architecture team to ensure technical design alignment.
• Confirm delivery meets business requirements and creates expected value.
• Coach and guide the wider product team, fostering continuous improvement.

Requirements

• Bachelor's Degree
• 5+ years of professional experience in a commercial manufacturing industry within a regulated environment.
• Experience in product or project management, managing complex data and analytics products.
• Knowledge of Industry 4.0, Cloud Purdue Model, and IIoT.
• Experience with ERP systems (e.g., SAP), MES, and customer-facing technologies.

Nice-to-haves

• Master's Degree in Engineering, Data Science, or Computer Science.
• Extensive experience in data and analytics technologies and methodologies.
• Strong technical background in cloud-based data and analytics.
• Solid understanding of pharmaceutical industry business processes.

Benefits

• Competitive Salary
• Comprehensive benefits program
• Opportunities for professional development
• Flexible working hours