Senior Product Manager, Data and AI Asset Governance Products

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 and AI 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

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 intense AI applications.

We are seeking an experienced Senior Product Manager to lead the strategy and delivery of Data Governance platform products -the core platform that enables secure, compliant, and scalable management of research data and AI assets across R&D. This platform provides unified capabilities for metadata management, policy enforcement, access control, data classification, and AI asset governance, enabling teams to confidently discover, access, and govern data and AI solutions.

You will define and enable the end-to-end user journey across data and AI asset governance, ensuring seamless integration with data platforms, AI/ML systems, and enterprise infrastructure. By partnering closely with engineering and enterprise governance teams, you will align with regulatory standards while accelerating innovation. Ultimately, this platform empowers R&D teams to scale trusted data and AI usage and deliver new medicines for patients.

Ownership & Strategy

• Own and drive the vision, roadmap, development, and adoption of Data Governance platform capabilities, ensuring a unified, governed, and high-quality experience across metadata management, policy enforcement, access control, data classification, and AI asset governance.

• Define the strategic direction for data and AI governance capabilities, enabling scalable, compliant, and production-ready data and AI usage across R&D.

Customer & Stakeholder Engagement

• Conduct ongoing customer discovery with data owner/stewards, scientists and AI/ML practitioners to identify emerging needs and translate them into actionable product requirements.

• Lead technical product discussions with engineering and scientific leaders to clarify objectives and shape platform direction.

Product Planning & Delivery

• Collaborate with stakeholders to define governance features, requirements, and success criteria aligned with scientific use cases and business goals.

• Drive agile product execution with engineering and program teams, owning prioritization, backlog management, and delivery of high-quality governance capabilities.

Platform Integration & Governance

• Ensure seamless integration with Data Platform and AI Platform to enable consistent metadata standards, policy-driven access, and lifecycle governance for both data and AI assets.

• Coordinate and align roadmap with enterprise and R&D platforms to ensure interoperability, compliance alignment, and a unified governance framework across data, AI, and applications.

Launch, Adoption & Optimization

• Lead platform launches and change management to ensure clear communication, training, and adoption of governance capabilities across R&D.

• Monitor platform usage, policy effectiveness, and compliance metrics; analyze feedback and telemetry to drive continuous improvements in usability, trust, and governance coverage.

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD with 2+ years, Master's with 4+ years, or Bachelor's with 6+ years of relevant experience.

• 2+ years of experience in product management with a proven track record of delivering scalable platform capabilities in data governance, data platforms, or AI/ML-enabled systems within enterprise environments.

• Experience defining product strategy for data governance platforms, including familiarity with metadata management, data classification, policy enforcement, access control, and data/AI asset lifecycle management.

• Knowledge of cloud-native architectures (e.g., AWS, Azure, GCP), API- driven platforms, and scalable data infrastructure required to securely manage and govern data and AI assets in enterprise settings.

• Experience working closely with data engineering, platform engineering, security, and compliance teams to build reliable, governed, and reusable data and AI governance capabilities.

• Experience driving platform adoption and governance at scale, including defining standards, guardrails, onboarding frameworks, and enablement materials for cross-functional teams.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Direct product management experience designing and launching data governance or AI governance platform capabilities, including policy-driven access, metadata frameworks, data/AI asset classification, and end-to-end lifecycle governance across enterprise or scientific workflows.

• Hands-on software engineering, data engineering, or data science experience prior to product management, with exposure to data platforms, metadata systems, or AI/ML governance frameworks.

• Deep familiarity with modern data governance concepts and technologies, including data catalogs, lineage, data quality, privacy-preserving techniques, and emerging AI governance practices (e.g., model risk management, auditability, explainability).

• Experience delivering platform capabilities that manage, index, and govern complex, unstructured scientific or biomedical data, enabling discoverability, access control, and compliant reuse at scale.

• Strong understanding of regulatory and compliance requirements in life sciences (e.g., data privacy, sensitive data handling such as IHD), and their implications on data and AI governance design.

• Experience designing governance frameworks that extend to AI assets, including model lifecycle governance, dataset provenance, evaluation tracking, and responsible AI guardrails.

• Proven ability to define and implement governance standards, policies, and operating models that scale across enterprise data, AI, and application ecosystems.

• Hands-on experience with product management and collaboration tools such as Confluence, Jira, Miro, Monday, and Git-based documentation.

• Previous experience in life sciences or biopharma R&D is a strong plus.

#GSK-Onyx #GSK-LI

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com

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 (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/