Senior Product Manager - Historian and Visualisation

Job description

About the Team: Enterprise Systems is the backbone of GSK’s internal operations in Digital & Tech, enabling GSK Global Functions teams such as Finance, Procurement, HR, Legal, Compliance, (Workplace & Real Estate Facilities) WREF, CGA (Communications & Government Affairs) and Corporate Secretariat to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise. Enterprise Systems Management & Business Operations delivers digital solutions that support Enterprise Systems running as a high-performing organisation. This team drives financial discipline, operational rigour and strategic alignment across the ES portfolio that safeguard GSK’s integrity and reputation globally. By joining this team, you’ll help shape systems that support thousands of employees worldwide, driving innovation and reliability in the tools that keep GSK moving forward. Job Purpose: The Senior Product Manager - Historian and Visualisation is responsible for the delivery, configuration, support, and continuous improvement of GSK's IP21, A1PE, Historian, reporting, and visualization platforms. The role translates manufacturing, engineering, and operational requirements into technical solutions that enable reliable, secure, compliant, and scalable manufacturing data management. Working with manufacturing sites, (Manufacturing Execution System) MES teams, Engineers, Architects, Quality/Validation, Service teams, and external partners, the Product Engineer designs, configures, integrates, tests, validates, and supports historian and visualization solutions aligned with global standards and product roadmaps. The role manages technical backlogs, supports requirements analysis, coordinates system integrations and data flows, and ensures data integrity, cybersecurity, performance, and platform reliability across the manufacturing technology landscape. Leverage AI-assisted tools to configure, test, and document IP21/A1PE solutions, ensuring all AI-generated outputs are validated for accuracy, data integrity, security, and (Good Practice) GxP compliance prior to release. Deliver reliable historian and visualization solutions that support manufacturing operations and business objectives. Key Responsibilities: Own the design of IP21/A1PE solutions and integrations within the approved architecture, translating business requirements into scalable technical solutions, making and documenting design decisions, and ensuring alignment with architectural, operational, security, and compliance standards. Maintain IP21/A1PE engineering standards and reusable configuration patterns and provide technical guidance and lead engineers to ensure consistent, scalable, and supportable solutions. Partner with stakeholders to translate manufacturing, engineering and data requirements into IP21 solutions and improvements, and manage and prioritize the IP21 backlog based on business value, risk, compliance and operational needs. Deliver historian capabilities by collaborating with Engineers, Architects, MES teams and vendors. Monitor system performance, data quality and user adoption, driving continuous improvement. Ensure operational readiness through documentation, training, support and validation activities, and ensure compliance with cybersecurity, data integrity, quality and regulatory requirements. Define, test, validate and release IP21 changes, ensuring traceability and compliance, and manage integration and dependencies between IP21, MES, A1PE and other manufacturing systems. Support issue resolution, system maintenance and ongoing platform optimization. Coordinate supplier activities and leverage data and AI-enabled tools to improve delivery, support and business value Use AI-assisted tools as the default way of configuring, scripting, testing and documenting IP21/A1PE changes, and validate all AI-generated output for accuracy, data integrity, security and GxP before release. Basic Qualifications: Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Business, Life Sciences or a related discipline, or equivalent relevant experience. Experience in making technical and product configuration decisions that impact data integrity, operational visibility and business performance, including managing priorities, collaborating with cross-functional teams and delivering historian and visualization solutions that meet reliability, security, compliance and user requirements. Minimum 5+ years of experience in product ownership, business analysis, digital solutions, technology delivery or process-led technology roles. Experience in industrial data historian systems (for example, Aspen IP21, A1PE, OSI PI Historian or similar platforms), data visualization platforms and manufacturing reporting solutions within manufacturing, pharmaceutical, biopharmaceutical or other regulated environments. Experience in developing and supporting real-time dashboards, reports, trends and analytics solutions that enable operational monitoring and decision-making. Experience in working with process, production, quality and equipment data from MES, SCADA (Supervisory Control and Data Acquisition), automation, historian and enterprise systems. Experience in data analysis, data modelling, data integration and data management for operational and business reporting. Experience in configuring and supporting historian and visualization applications, including performance optimisation and troubleshooting. Experience in integrating historian and visualization platforms with MES, ERP (Enterprise Resource Planning), laboratory and other enterprise systems, including use of industrial connectivity technologies and protocols such as OPC UA (Unified Architecture), OPC HDA (Historical Data Access) or similar standards. Experience in SQL (Structured Query Language), databases, reporting tools and data analytics technologies. Experience in gathering business requirements and translating them into reporting, dashboard and visualization solutions. Experience in working in Agile and cross-functional teams, collaborating with business stakeholders, engineers and support teams. Experience in supporting system validation, data integrity, compliance and change management processes in GxP-compliant or other regulated environments. Experience in analysing operational data to identify opportunities for process improvement and optimisation. Experience in using AI-enabled tools for data analysis, documentation, troubleshooting and decision support, including validating AI-generated outputs, understanding AI limitations and maintaining accountability for data quality, security, GxP compliance and product decisions. Preferred Qualifications: Experience in written and verbal communication, including explaining product decisions and technology constraints to non-technical stakeholders. Experience in architecture, integration, data, security, validation, service and operational readiness. Experience in organising work, maintaining traceability and applying consistent documentation practices. Experience in working across global, cross-functional and supplier teams in a collaborative way. Experience in designing and delivering user-centred, capability-led and technology-agnostic solutions. #AGTech #GSK-LI Skills Agile Methodology, API Management, CI/CD, Cloud Based Services, Computer Programming, Configuration Management (CM), Containerization, Database Management, High Availability (Inactive), Infrastructure As Code (IaC), Microservices Architecture, Network Security, Operating Systems (OS), System Monitors, Version Control System Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by