Overview
Owns and prioritises the product backlog and roadmap for GSK's Observability platform, translating consumer needs into prioritised work and measuring the value the platform delivers to the teams that use it.
What you'll do
- Own and prioritise the product backlog by value, risk and reliability, applying lean portfolio principles rather than fixed project plans.
- Link every backlog item explicitly to GSK D&T strategy and domain OKRs and measure the outcome with a named metric.
- Translate consumer needs and business outcomes into clear requirements and user stories that engineering can act on without further interpretation.
- Work daily with the engineering team through refinement, planning and review, and accept completed increments against agreed criteria.
- Balance new capability against the reliability bar, agreeing SLOs and error budget impact with Reliability Engineering before committing to work.
- Use AI tooling to accelerate discovery, backlog refinement and requirement drafting, and record where AI-assisted output has been reviewed before acceptance.
- Measure product adoption, self-service uptake and value delivered and iterate the roadmap on that evidence rather than on stakeholder volume.
- Steer delivery with flow metrics such as throughput, cycle time and work in progress, and act on them rather than reporting them.
- Manage consumer demand and stakeholder expectations, saying no with a reason where an item does not compete on value.
- Manage supplier-delivered components within the product, holding partners to the same acceptance criteria and reliability standards as internal work.
- Contribute the product view into the domain roadmap held by the Platform Manager and the portfolio view held by the Domain Portfolio Manager.
- Hold the boundaries with the Platform Manager on platform strategy, the Platform Architect on technical design and standards, and Reliability Engineering on the reliability bar.
What you'll need
- 5+ years in technology, years in product ownership or product management, including at least two years owning a backlog in a platform or infrastructure context.
- Practical experience of lean or agile backlog management, including prioritisation by value and risk rather than by request order.
- Track record of translating business needs into requirements that engineering teams could deliver without repeated clarification.
- Experience working to OKRs and measuring adoption or value delivered rather than features shipped.
- Experience steering with flow metrics and acting on delivery predictability data.
- Experience managing stakeholders and declining requests with a defensible reason.
- Exposure to AI tooling used for discovery, backlog refinement or requirement drafting.
- Hands-on expertise with modern observability tooling such as Grafana and Google Cloud Observability.
- Proven observability expertise across metrics, logs and traces, telemetry pipelines, dashboards and alerting, with accountability for reliability and cost.
Nice to have
- Experience delivering AI-driven or automated operations on observability data.
- Experience in a pharma, regulated or comparably complex enterprise environment.
Details
- Location: Bengaluru Luxor North Tower.
Read the full description and apply on the company’s own careers page.