Senior Product Manager Data Governance Products

As the Sr. Product Manager of Data Governance Products supporting GSKs R&D customers you will be responsible for developing the product for cuttingedge computational data governance solutions tailored to meet the unique demands of pharmaceutical R&D activities. You will collaborate closely with the infrastructure and data platform teams ensuring seamless integration and alignment of computational data governance products within our existing technological infrastructure. Additionally you will work closely with senior leadership internal stakeholders and enterprise data governance organizations ensuring that our data governance products adhere to industry standards and compliance regulations while meeting the specific needs of our stakeholders. Your role will be pivotal in creating and maintaining highquality scalable and secure computational data governance products ensuring that our organization remains at the forefront of innovation and compliance.

Onyx Product Management is at the heart of our mission ensuring that everything from our infrastructure to platforms to enduser 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 customerfacing aspects of Onyx including data assets ontology Knowledge Graph / semantic search data / computing / analysis platforms computational data governance and datapowered applications.

The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech designed to deliver a stepchange in our ability to leverage data knowledge and prediction to find new medicines. We are a fullstack 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 nextgeneration data experience for GSKs scientists engineers and decisionmakers increasing productivity and reducing time spent on data mechanics
Providing bestinclass AI/ML and data analysis environments to accelerate our predictive capabilities and attract toptier talent
Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in realtime