Product Manager II - FinOps

Overview

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and Dev Ops, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics.”

The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Product Manager II who will be accountable for designing and delivering the road map for Fin Ops for all Onyx cloud platforms, products, and services.

This role focuses on optimizing cloud spend and enhancing financial transparency across Onyx's platforms and services, enabling engineers, developers, scientists, and finance stakeholders to manage, forecast, and optimize cloud costs effectively. This is an exciting opportunity for a product professional passionate about cloud economics and building solutions that drive financial accountability and efficiency at scale.

• Product Feature Ownership:
  Own the full product lifecycle for specific features or components within our Fin Ops product suite, from ideation and requirements gathering to launch, adoption, and iteration.
• Cloud Cost Visibility:
  Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services, enabling teams to understand their consumption patterns.
• Cost Optimization Enablement:
  Identify, define, and deliver capabilities that empower engineering teams to make cost-efficient choices, including recommendations for resource rightsizing, reserved instance/savings plan management, and identification of idle or underutilized resources.
• Financial Governance Support:
  Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits, and chargeback/showback mechanisms.
• User Research & Requirements:
  Conduct in-depth user research with engineers, developers, data scientists, and finance teams to understand their challenges and needs related to cloud cost management, translating insights into detailed product requirements and user stories.
• Data Analysis & Reporting:
  Leverage cloud billing data and other financial inputs to analyze spending trends, identify cost anomalies, and support the creation of actionable financial reports and forecasts.
• Agile Product Development:
  Actively participate in an agile development environment, collaborating daily with engineering, UX, and QA teams to ensure successful and timely delivery of high-quality product releases.
• Cross-Functional Collaboration:
  
  Partner with Cloud Platform Engineering, Data Platform Engineering, Finance, and R&D teams to ensure product features meet business needs, integrate seamlessly, and drive desired financial outcomes.
• Documentation & Training:
  Create clear product documentation, user guides, and training materials to facilitate product adoption and ensure users can effectively leverage Fin Ops tools and insights.

• Bachelors degree in a technical or scientific field with a focus on computational science, Engineering, Finance, Business or related discipline.
• Experience in product management, cloud financial management (Fin Ops), or a related role such as a Cloud Engineer with a strong cost optimization focus.
• Experience taking a product from concept to launch, defining scope, aligning stakeholders, and delivering an initial version to users.
• Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure).
• Experience with data…