The Onyx Research Data Platform 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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time
The Governance Engineering team builds industry-leading computational policy services aimed at ensuring governance processes (data access and use, cloud FinOps, and more) are both faithfully executed and as automated as possible. They take a risk-based approach, ensuring governance considerations stay "out of the way" of low-risk activities and providing simple and intuitive navigation for high-risk activities. They ensure that governance and computational policy propagate throughout our entire Onyx ecosystem and build tools and dashboards for governance personas to aid policy authoring and testing as well as monitoring and reporting activities.
This role is responsible for building and leading a team of world-class engineers focused on ensuring GSK has a leading computational policy and governance capability. They support the Head of Infrastructure, DevOps, and Support (and the entire Onyx leadership team) in building a strong culture of accountability and ownership in their team, as well as instilling best-in-class engineering practices (e.g., testing, code reviews, DevOps-forward ways of working). They work in close partnership with all partner engineering teams to ensure computational policy touches every part of our ecosystem, and with data / financial / other governance personnel to ensure policies are accurately encoded and faithfully executed and to provide simple and useful dashboarding / reporting systems.
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