The posting
Your Opportunity
At GSK, the Chief Patient Officer (CPO) organization is one of three strategic pillars of the company – the independent medical and scientific partner to R&D and Commercial. Medical’s vision is to embed the patient voice and external insights into product strategy and evidence generation, shape medical practice through trusted, non-promotional scientific engagement, and deliver measurable health impact for patients at scale.
This is your chance to build the enterprise AI Context Layer for GSK Medical – the trusted, connected foundation that turns data and content from across the medical planning framework into measurable value. As Associate Director Product Owner, Medical Data Products, you will own the data products and context layer spanning Data Generation, Scientific Communications, Medical Information, Publications and Channel Engagement, including Medical Science Liaison (MSL) interactions, non-personal channels, advisory boards and other external engagement activities.
You will join the Medical Cx and Data team – responsible for product management across Medical Cx and measurement, medical analytics and medical content – as a strategic business leader enabled by technology: accountable for outcomes, not just delivery, and the go-to leader and trusted advisor for medical data and AI context.
Working alongside the Medical Measurement Product Owner, Medical Digital & Tech Engineering and Architecture, and partners across Medical Affairs, Enterprise Data & AI, Commercial and Digital & Tech, you will act as the voice of the customer for Global Medical Teams (GMTs) and Local Operating Companies (LOCs) – co-creating data-driven products that reduce time-to-insight, demonstrate the impact of external engagement and help teams act with confidence. Your work will build the trusted, connected and compliant data foundation that powers analytics, GenAI and agentic solutions.
We are looking for a senior data product leader with 8 to 10+ years of experience designing and delivering enterprise cloud data platforms, with expertise in data modelling, lakehouse architecture, data integration and governance. You have experience transforming varied source data into canonical (standardized) data models and building governed, reusable data products, with Azure/Databricks experience and a practical understanding of data enrichment and AI/machine learning (ML) data architectures.
About CODE Orange
You’ll build your data products on GSK’s CODE Orange Platform, our enterprise data and analytics platform hosted on Microsoft Azure and GCP. As the core data ecosystem for every GSK business unit and function, it delivers clean, connected data through a unified, trusted, reusable and compliant data lifecycle. Shared standards for governance, role-based access, zero-trust security and auditing protect sensitive data while enabling safe reuse of data across GSK.
What You Will Do
Set an outcome-focused vision
- Own the strategy, roadmap and value-based backlog for the Medical AI Context Layer and the data generation, content and channel data products that feed it – co-created with the business, sequenced across the medical planning framework and aligned to GSK’s strategic priorities.
Build the enterprise Medical AI Context Layer
- Define and deliver a governed semantic layer – shared medical data ontology, business glossary, knowledge graph and metadata – that links medical objectives, tactics, evidence, content, engagement and outcomes across the medical planning framework, so analytics, GenAI and agentic solutions draw on one trusted, consistent source of medical context.
Drive business value
- Drive adoption of medical data products and the AI Context Layer to reduce time-to-insight for Global Medical Teams (GMTs) and Local Operating Companies (LOCs), measure the ROI of content and engagement, and increase reuse of trusted context across GenAI and agentic use cases.
Champion the customer
- Act as the voice of GMTs and LOCs through continuous user research, turning their pain points into an actionable, user-centric backlog.
Define, validate and own success
- Set success metrics up front, prove value through proofs of value (POVs) before scaling, and track key performance indicators (KPIs) such as adoption, data quality and user satisfaction.
Evangelize and lead change
- Lead change management, demos and training to drive enterprise-wide adoption and data literacy.
Own architecture and canonical models
- Oversee data ingestion end-to-end and the target canonical/conformed data model connecting engagement data to GSK Medical data – balancing technical debt against feature delivery.
Establish governance by design
- Oversee the data lake governance and framework – access models, schemas, classification, lineage, metadata, quality and storage standards aligned to CODE Orange – partnering with platform, security and data-owner teams and building GxP (regulated good-practice quality standards) and data protection in from the start.
Hold partners to outcomes
- Align platforms, engineering teams and vendors around shared outcomes, connecting data across functions and managing dependencies through to completion.
Work AI-first
- Use approved AI tools to accelerate discovery and backlog trade-offs – keeping AI in support of decisions, not replacing them.
Future-proof the ecosystem
- Ensure data assets are structured, scalable and of high enough quality to power GenAI, predictive analytics and agentic workflows.
Basic Qualifications
- Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, Mathematics or a related discipline.
- 8+ years of experience in data architecture, data engineering, data product ownership or related roles, including delivering measurable business outcomes.
- Experience designing enterprise-scale data lake/lakehouse architectures on Azure or other cloud data platforms, including owning the target architecture.
- Experience in conceptual, logical and physical data modelling, including translating varied source data into canonical (standardized) data models.
- Experience with SQL, Databricks and/or Snowflake, and understanding of both relational and non-relational data structures.
- Experience using data governance and semantic architecture approaches to enable enterprise-grade data governance and semantic layers, including Databricks Unity Catalog and Genie Ontology.
- Experience with AI engineering and agent orchestration to enable secure AI agents and retrieval systems utilizing Databricks AI Search, the Model Context Protocol (MCP) and the Databricks Agent Framework.
- Experience designing data ingestion, transformation, integration and orchestration patterns.
- Experience with data governance, metadata, lineage, data quality and security in a regulated environment – such as role-based access, data privacy and GxP – using GSK CODE Orange or equivalent enterprise data platform standards.
- Experience working within enterprise architecture and technology standards.
- Experience in user research, defining product KPIs and driving adoption through demos and training – translating user needs into a prioritized, value-based backlog.
- Experience communicating data architecture to technical and non-technical stakeholders and aligning partners across functions in a matrixed organization.
- Experience leading cross-functional teams, partners and vendors without direct line management.
Preferred Qualifications
- Experience with Azure Databricks, Spark and Delta Lake.
- Experience with Microsoft Fabric, Synapse or Azure Data Lake Storage (ADLS), and Microsoft Purview or equivalent data catalogue tools.
- Experience with canonical data models and API-based data integration.
- Experience with data mesh and data product operating models, knowledge graphs and ontologies.
- Experience with GenAI, retrieval-augmented generation (RAG), vector databases and ML feature engineering.
- Experience in pharmaceutical, healthcare or other regulated environments, including handling sensitive and personal data; Medical Affairs engagement data and omnichannel measurement experience is an advantage.
- Experience with Agile ways of working, including proofs of value and retrospectives.
#AGTech
#GSK-LI
Skills
Agile Methodology, Backlogs, Cross-Functional Teamwork, Design Thinking, DevOps, Process Diagrams, Product Strategies, Project Management, Requirements Gathering, Services Management, Software Development, User Experience (UX), User Research, User Story
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.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at [email protected] to discuss your needs.
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