The primary purpose of this role is to own Data & AI (D&AI) Products that will accelerate and improve probability of success of Manufacturing & Engineering activities in GSK’s Global Supply Chain, directly aligned to GSC’s Smart Manufacturing Digital Transformation Program.  This role will act as a strategic bridge between business and Tech/Data worlds. This role will leverage business domain understanding, D&AI expertise, and Product Management skills to define and agree vision and roadmaps for individual D&A products such as the Factory Integration Layer, transformative AI use cases, and Master Data Management for the Manufacturing & Engineering businesses.

This role will be responsible for overseeing the development and deployment of data-driven and AI-powered solutions that enhance operational efficiency, product quality, and decision-making processes across the organization. The role involves collaborating with cross-functional teams, including various tech and business stakeholders, to identify and prioritize opportunities for leveraging data and AI technologies. The Product Owner will also be accountable for defining the product vision and strategy, managing the product backlog, and ensuring the successful delivery of innovative solutions that align with GSK’s Smart Manufacturing ambition.

• Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your D&AI products

• Combining business understanding with knowledge of established and emerging D&AI capabilities to identify and cultivate D&AI use-cases from ideas into potential D&A products 

• Matrix-manage a mission based team focused on complex use case and platform capability delivery

• Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&AI Product Roadmap and backlog throughout the Product lifecycle

• Actively participating in quarterly and sprint planning, work with customers and other Product teams to reduce dependencies and remove blockers

• Engaging with D&AI Architecture team and others to ensure D&AI Product technical design aligns with target architecture and established standards

• Develop and oversee user training programs and provide ongoing support to ensure successful adoption and utilization of data and AI solutions by end-users.

• Ensuring overall quality and compliance of D&AI Product including GxP Validation if required

Why You?

Basic Qualifications:

• Bachelor’s Degree

• 3+ years of professional experience

• Commercial Manufacturing industry experience within a regulated environment.

• Experience in product or project management, managing and delivering complex data and analytics products in a large enterprise. This experience includes product strategy, roadmap development, stakeholder management, and product lifecycle management.

• Experience with full AI/ML model lifecycle 

• Experience and knowledge of AI technologies and their applications in a pharmaceutical context

• Experience presenting to business and tech stakeholders

• Experience in data and analytics technologies, methodologies, and trends; Including experience with data modelling, data management, data governance and use of analytics/AI platforms.

Preferred Qualifications:

• Master’s Degree in Engineering, Data Science or Computer Science

• Technical Expertise: Strong technical background in cloud-based data and analytics across full stack from data architecture and integration to data visualisation and analytics as well as experience in more cutting-edge/emerging technologies. Also have experience in ensuring technical designs align with target architecture and established standards.

• Business Acumen: Solid understanding of pharmaceutical industry business processes, specifically in commercial manufacturing. Able to anticipate the needs of key business stakeholders, align product strategies with customer priorities, and drive value realization.

• Comprehensive understanding of Industry 4.0, Cloud Purdue Model, S88 / S95 Models, RAMI 4.0 Functional Layers (Business, Functional, Information, Communication, Integration, Assets, Operations, Control), IIoT Industrial Internet, Factory of the Future, Industrial Internet, Streaming Analytics and Digital Twins

• Experience across multiple architecture environments including ERP systems (e.g., SAP), MES, Historians, customer facing technologies (e.g., Salesfor