Overview
As Senior Product Owner for the voice and collaboration platform, you own the backlog and roadmap, translating team needs into prioritized work and maximizing platform value. You’ll align items with GSK strategy and OKRs, collaborates with engineering to deliver increments, and focus on outcomes over outputs. You’ll balance new capabilities with reliability, leverage AI to speed discovery, and measure adoption to drive a data‑driven roadmap. This role sits in the Platform team with clear ownership of backlog decisions and acceptance criteria.
Pay / Benefits
- learning and development opportunities
- supportive team
- hybrid working (onsite 2/3 days)
- opportunity to influence critical technology that enables healthcare outcomes
Responsibilities
- Own and prioritise the product backlog by value, risk and reliability using lean portfolio methods.
- Link backlog items to GSK D&T strategy and domain OKRs; measure outcomes with a named metric.
- Translate business needs into clear requirements and user stories for engineering.
- Collaborate daily with engineering to refine, plan and review, accepting increments against set criteria.
- Balance new capability with reliability by agreeing SLOs and budgets with Reliability Engineering.
- Leverage AI tooling to accelerate discovery, backlog refinement and requirements drafting, with review before acceptance.
- Measure adoption and value, iterating the roadmap based on evidence rather than stakeholder volume.
- Steer delivery using flow metrics (throughput, cycle time, WIP) and act on them; manage stakeholder expectations with defensible reasons.
- Manage supplier components to meet internal acceptance criteria and reliability standards.
- Contribute the product view to the domain roadmap and portfolio view; maintain boundaries with Platform Manager, Platform Architect and Reliability Engineering.
Key requirements
- Degree in technology, engineering or business, or equivalent practical experience.
- Agile or product certifications desirable (e.g., CSPO, SAFe PO/PM).
- Experience owning a backlog in a platform or infrastructure context.
- Practical experience with lean or agile backlog management prioritising by value and risk.
- Ability to translate business needs into executable engineering requirements without frequent clarification.
- Experience with OKRs and measuring adoption or value delivered rather than features shipped.
- Experience steering with flow metrics and using delivery reliability data.
- Stakeholder management and the ability to decline requests with a defensible reason.
- Exposure to AI tooling used for discovery, backlog refinement or requirement drafting.
- Experience delivering voice or collaboration capabilities as a Product Owner or Agile team member.
- Capability in backlog prioritisation, story definition, acceptance criteria, Planning Interval events and iteration execution.
- Evidence of delivering voice improvements that increased adoption, service quality or reliability.
- Decisiveness on backlog order with value-based sequencing
- Clear written communication
- Technical literacy to challenge estimates and understand reliability trade-offs
- Jira
- Azure DevOps
- AI tooling for discovery and drafting
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