VP, Enterprise Data and AI Platform

The VP, Enterprise Data and AI Platform is a strategic leadership role responsible for overseeing the development, deployment, and operational excellence of comprehensive data and artificial intelligence platform at enterprise scale.

As a strategic leader, you will lead a team to architect, scale, and evolve an intelligent, composable platform that spans the full data-to-intelligence spectrum: from ingestion and analytics to ML, Gen AI, Agents, and beyond towards autonomous cognitive enterprise. This critical position is aligned with GSK’s ongoing commitment to innovatively meet challenges and leverage opportunities posed by shifting market forces, evolving regulatory environments, changing business needs, and emerging developments in the Pharmaceutical industry.

Reporting to the CTO, you will serve as a key strategist and a trusted partner to the Enterprise AI organization to help shape and drive added value generation by using advancements in data and AI technologies and operating models.

GSK seeks a Data & AI leader to harness AI as a strategic advantage, driving insights, decision-making, and innovation across the enterprise. Your mission is to embed AI-native operations into every function and advance intelligence capabilities, positioning GSK as a leading, innovative, and trusted pharmaceutical company. GSK’s strategy is to prevent and treat disease with specialty medicines, vaccines and general medicines with focus on the science of the immune system and advanced technologies – to impact health at scale.

Key Responsibilities:

• Establish and articulate a compelling next-gen vision for the Enterprise Data/AI Platform and supporting roadmap spanning data ingestion, AI/ML, Gen AI, Agents, and Cognitive Systems, aligning with GSK’s strategic goals and industry trends.
• Partner with Enterprise AI organization to transform GSK from insight-driven to goal-oriented enterprise, powered by AI-reasoned execution capabilities.
• Operationalize multi-agent orchestration, memory, tool management, reasoning engines, and goal-directed planning at scale.
• Embed AI-as-Infrastructure into the enterprise stack: moving from isolated ML services to ambient, autonomous intelligence.
• Keep the Data & AI platform perpetually current by envisoning and preparing for what's beyond Agents: multi-agent cognition, neurosymbolic reasoning, context-aware systems, and real-time adaptive learning.
• Implement core capabilities for self-improving agents, knowledge discovery engines, and semantic infrastructure.
• Champion intent-aware, multi-modal AI interfaces that shift from dashboards to conversational and assisted workflows.
• Drive platform features that learn from user behavior, business context, and system telemetry to improve continuously.
• Champion AI trust and safety, with dynamic oversight layers, AI ethics policies, and human-in-the-loop guardrails.
• Act as a recognized thought leader in AI/ML/Agents, proactively identifying and advocating for innovative AI solutions.
• Influence senior leadership and stakeholders to prioritize AI investments and initiatives, fostering an “Agent first” culture.
• Hire, develop and lead great technology professionals, including roles in data engineering, product management, data science, AI/ML, generative AI, agentic architecture, data/AI operations, and other related data analytics capabilities
• Manage multiple complex strategic initiatives, programs and projects that are broad in scope, interdependent, potentially high-risk, and deliver significant business value
• Foster a learning culture based on a growth mindset that is focused on continuous improvement, strong collaboration, and constant innovation with the end-user in mind
• Establish strategic partnerships with product vendors, external suppliers, research institutions, and stay current with industry trends, emerging technologies, and competitive landscape to identify opportunities for innovation and growth
• Maintain external presence to represent GSK Tech externally to capture and report relevant tech intelligence and be a talent magnet to attract data, analytics, and AI talent to GSK

Basic Qualifications:

• Undergraduate degree in Computer Science or related discipline
• 15+ years of experience in enterprise technologies including data, AI, and cloud-scale product development gained within a large market cap organisation
• Experience leading platform product and engineering for modern AI stacks including ML pipelines, LLMs, Gen AI, and agent frameworks.
• Experience building multi-layered, cloud-native platforms in regulated or mission-critical environments
• Experience across lakehouse architectures, semantic graph models, MLOps/LLMOps/AgentOps, orchestration layers, and distributed sys