Description
Enterprise Systems is the backbone of GSK's internal operations in Digital & Tech, enabling GSK Global Functions teams to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise.
The Associate Director - Product Owner, Engineering, EHS & Sustainability is responsible for maximising the value of a specific Product by translating business needs into a prioritised backlog and leading delivery across the product lifecycle.
Key Responsibilities:
- Partner with business stakeholders to understand functional needs, refine requirements, and define product outcomes that support business priorities.
- Co-create the product vision and roadmap with the business and own the value case.
- Own and manage the Product backlog, ensuring requirements are well-defined and supported by minimum data inputs.
- Make prioritisation decisions for the Product backlog based on value, cost, risk, business continuity, and resource capacity.
- Lead the Product team's delivery activities, guiding Product Analysts and working with Engineers, Architects, and Testers.
- Drive operational readiness by applying a delivery readiness checklist.
- Define and maintain the Product performance dashboard, tracking adoption, cycle time/throughput, stability/defects, UX signals, and support effort.
- Ensure product changes follow required security controls, risk assessments, data handling policies, and regulated change processes.
- Shape design trade-offs with Solution Architects, and scout emerging capability on the product platforms.
- Act as an escalation point for the Product team and business users on functional product issues.
- Contribute to the improvement of delivery practices within the Product.
- Own and prioritise the AI product backlog, translating Engineering, EHS and Sustainability needs into clear AI use cases.
- Define the business value and success measures for AI use cases.
- Lead AI-enabled product delivery across business stakeholders, engineers, architects, data specialists, security, quality and third-party providers.
- Ensure responsible and compliant use of AI.
- Monitor AI product performance after release, using operational metrics, user feedback and evaluation results to identify improvement priorities.
Basic qualifications:
- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Technology, or Engineering), or equivalent experience.
- Typically 5+ years of experience working in product delivery, digital solutions, business systems, or process-led technology roles.
- Proven experience defining and prioritising functional requirements and managing a product backlog.
- Experience working directly with business stakeholders to translate needs into feasible, value-led technology changes.
- Demonstrated ability to make prioritisation decisions based on business value, process impact, risk, cost, and technology constraints.
- Experience leading delivery teams or analysts through the product lifecycle.
- Familiarity with enterprise governance requirements.
- Exposure to continuous improvement approaches.
- Experience working within agile delivery environments.
- Experience owning or delivering an AI, Generative AI, advanced analytics or intelligent automation product.
Preferred qualifications:
- Strong communication and influencing skills.
- Skilled in coaching and guiding Product Analysts and delivery team members.
- Able to interpret business processes, user feedback, and operational data.
- Comfortable working within structured governance, security, and data protection requirements.
- Strong analytical mindset.
- AI product management.
- Generative AI understanding.
- AI evaluation.
- Responsible AI and risk management.
- Stakeholder communication.