Product Manager of Data Governance Products
Location
Collegeville, PA | United States
Job description
Job Title: Senior Product Manager, Data Governance Products
Location: Collegeville, PA (Remote)
Experience: 9+ Years
Primary Skills: Product Management, Manager
Job Description
- As the Sr. Product Manager of Data Governance Products supporting GSK's R&D customers, you will be responsible for developing the product for cutting-edge 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 high-quality, 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 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, computational data governance and data-powered applications.
- 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 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
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