Description
GSK is looking for a Senior Product Manager to lead the development of AI and data platforms. The successful candidate will set multi-year product direction, shape platform strategy, and lead a team of Product Managers.
Key Responsibilities
- Develop and drive a compelling multi-year product vision and roadmap for data platform products and AI/ML products
- Partner with the Director, Enterprise AI Platform and Principal Engineers to align product strategy with enterprise data architecture and business priorities
- Lead portfolio prioritization across concurrent workstreams, balancing new capability development, technical debt, and regulatory compliance needs
- Assess emerging technologies to inform platform investment decisions
- Engage Director and VP-level stakeholders across R&D, Supply Chain, Commercial, and IT to shape demand, align priorities, and communicate platform value and ROI
- Own end-to-end AI/ML product lifecycle, including model development tooling, MLOps and LLMOps pipelines, GenAI applications, and multi-agent orchestration frameworks
- Define AI-ready data product requirements, including embeddings, feature stores, versioned training data, and evaluation frameworks
- Champion Responsible AI practices, including ethical model development, bias mitigation, and compliance with regulatory guidance
- Lead, mentor, and develop a team of Product Managers and Business Analysts
- Define and report on platform KPIs covering adoption, AI quality, pipeline reliability, time-to-insight, delivery velocity, and stakeholder satisfaction
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, Business Analytics, Information Systems, or a related field
- 8+ years of product management experience, with at least 4 years on data platforms, AI/ML products, or enterprise analytics infrastructure
- Experience owning a multi-product portfolio and leading other PMs or BAs
- Exceptional product sense, including portfolio-level prioritization, high-stakes trade-off decisions, and OKR-driven roadmapping
- Mastery of agile delivery and tooling, including Jira, Confluence, Productboard, and Miro
- Experience with lakehouse architecture, data mesh, batch and streaming pipelines, data cataloguing, lineage, data quality, and self-service analytics
- Experience with Azure Synapse, Databricks, Delta Lake, and dbt
- Experience with BI tooling, including Tableau and Power BI
- Experience with the end-to-end ML lifecycle, MLOps, LLMOps, RAG architectures, vector databases, and multi-agent systems
Benefits
- Comprehensive benefits program, including [details available on GSK US Benefits Summary website]
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