Cloud & Hosting - Sr Product Owner - Observability

Gsk India; Bengaluru; On-site; INR 4,000,000 - 5,600,000; Full time

Job summary

The Senior Product Owner, Observability at GSK India owns the backlog and roadmap for the Observability platform, translating team needs into prioritised work and maximising value delivered to consuming teams. Daily collaboration with engineering ensures increments meet criteria and align to strategy and OKRs.

Role sits in the platform team with decision rights over backlog order and acceptance; interfaces with Platform Manager, Platform Architect and Reliability Engineering for governance and

Qualifications

• 5+ years in technology with product ownership or management in platform/infrastructure.
• Experience translating business needs into engineering requirements.
• Proven track record delivering to OKRs and measuring value delivery.
• Experience using flow metrics for delivery predictability.
• Able to manage stakeholders and declined requests with rationale.
• Exposure to AI tooling for discovery and backlog refinement.
• Hands-on with modern observability tooling (Grafana, metrics/logs/traces).
• Experience in pharma/regulated or complex enterprise is a plus.

Responsibilities

• Own and prioritise the product backlog by value, risk and reliability.
• Link backlog items to D&T strategy and OKRs; measure outcomes.
• Translate needs into clear requirements and user stories for engineering.
• Collaborate daily with engineering to refine and accept increments.
• Balance new capability with reliability; define SLOs and budgets.
• Leverage AI tooling for discovery and drafting, with review before acceptance.
• Measure adoption, self-service uptake and value; iterate roadmap accordingly.
• Steer delivery using flow metrics and act on them, not just report them.
• Manage consumer demand and stakeholder expectations with reasoned trade-offs.
• Coordinate with platform, architecture and reliability teams on standards.
• Contribute product view to domain roadmap and portfolio planning.
• Ensure platform strategy alignment and governance with Platform Manager.

Skills

Backlog Prioritization

Product Management

Product Ownership

Agile / Lean

OKRs & Measurement

Stakeholder Management

Observability Fundamentals

Reliability Engineering Basics

AI tooling awareness

Grafana proficiency

Cloud Observability

Data-driven decision making

Tools

Grafana

Google Cloud Observability

Terraform / IaC

Job description

Job Summary

The Senior Product Owner, Observability owns the backlog and roadmap for the Observability platform, translating what GSK teams need into prioritised work and maximising the value the platform delivers to the teams that consume it. The role works daily with engineering to deliver increments and accept completed work, links every backlog item to strategy and OKRs, and measures adoption and outcome rather than output.

The role sits inside the platform team and holds genuine product decision rights over backlog order and acceptance. Platform strategy and the multi-year roadmap, domain demand and sequencing sit with the Director, Modern Engineering Platform Manager, technical design and standards sit with the Platform Architect, and the reliability bar sits with Reliability Engineering.

Key Responsibilities

• 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.

Minimum Level of Job-Related Experience Required

• 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.
• Experience delivering AI-driven or automated operations on observability data (desirable).
• Experience in a pharma, regulated or comparably complex enterprise environment (desirable).

Skills/Background

• Decisiveness on backlog order, including the confidence to sequence against value rather than seniority of the requester.
• Clear written communication, since requirements and acceptance criteria are the roles primary output.
• Enough technical literacy to challenge engineering estimates and understand reliability trade-offs.
• Comfort with data as the basis for roadmap change rather than stakeholder pressure.
• Collaborative habit with architecture and reliability colleagues who can veto on standard ground.

Skills

• AI Observability
• API Management
• Automation Technology
• Backlog Prioritization
• Cloud Architectures
• Cloud Financial Operations
• Containerization
• Database Management
• DevOps
• Disaster Recovery (DR)
• Edge Computing
• Grafana
• Infrastructure As Code (IaC)
• Networking Concepts
• Performance Optimizations
• Product Management
• Product Ownership
• Serverless Computing
• System Monitors
• Virtualization