Product Manager II - FinOps
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 DevOps, 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”
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time
- Product Feature Ownership: Own the full product lifecycle for specific features or components within our FinOps 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 deeply understand their challenges and needs related to cloud cost management. Translate these 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 effectively 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 FinOps 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 (FinOps), or a related role such as a Cloud Engineer with a strong cost optimization focus.
- Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure).
- Experience with data analysis and reporting tools to extract insights from financial or operational data.
- Familiarity with agile product development methodologies.
- Master’s degree or MBA.
- FinOps Certified Practitioner (FOCP) or equivalent certification.
- Direct experience with FinOps platforms and tools (e.g., Cloudability, CloudHealth, or native cloud cost management tools).
- Experience contributing to products that support large-scale, multi-cloud environments.
- Understanding of enterprise financial processes, budgeting, forecasting, and cost allocation.
- Strong communication and stakeholder management skills, with the ability to articulate technical and financial concepts to diverse audiences.
- Prior experience in the life sciences or biopharma industry, understanding the unique compute and data needs of scientific research.