Onyx Research Data Tech Organization
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. The team is a full‑stack shop that includes product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, AI/ML and analysis platforms, all geared toward building a next‑generation data experience for GSK’s scientists, engineers and decision‑makers, providing best‑in‑class AI/ML and data analysis environments, and aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time.
Purpose of Onyx
Onyx Product Management is at the heart of our mission, ensuring that everything from infrastructure, to platforms, to end‑user‑facing data assets and environments is designed to maximize our impact on R&D. 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.
Responsibilities
- 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.
- Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services.
- Identify, define and deliver capabilities that empower engineering teams to make cost‑efficient choices, including recommendations for resource right‑size, reserved instance/savings plan management and identification of idle or under‑utilized resources.
- Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits and chargeback/showback mechanisms.
- Conduct in‑depth user research with engineers, developers, data scientists and finance teams to understand their challenges and needs related to cloud cost management, and translate these insights into detailed product requirements and user stories.
- 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.
- 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.
- 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.
- Create clear product documentation, user guides and training materials to facilitate product adoption and ensure users can effectively leverage FinOps tools and insights.
Qualifications
- Bachelor’s 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.
- 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 (AWS, GCP, Azure).
- Experience with data analysis and reporting tools to extract insights from financial or operational data.
- Familiarity with agile product development methodologies.
Preferred Qualifications
- Master’s degree or MBA.
- FinOps Certified Practitioner (FOCP) or equivalent certification.
- Direct experience with FinOps platforms and tools such as 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.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
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