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Data & AI Delivery Lead - R&D

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Haleon plc.
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

About the role

The Data & AI Delivery Lead – R&D is a senior strategic leader responsible for defining, shaping, and executing the enterprise vision for R&D’s data and AI ecosystem. This leader brings deep subject‑matter expertise in R&D processes, consumer and clinical insights, scientific data, enterprise data ecosystems, and advanced AI—including agentic AI systems. The role focuses exclusively on harnessing data, analytics, and AI to accelerate R&D innovation, strengthen scientific decision‑making, and improve speed‑to‑market across the product lifecycle.

This role sits within the Chief Data Office (CDO) with a dotted‑line into the Head of R&D Tech and is fully embedded within the R&D Tech Leadership Team. The job holder will be based in the United Kingdom.

Key responsibilities
Strategic Leadership & Vision
  • Define and champion the strategic vision for R&D data, insights, and AI products.
  • Drive the evolution of R&D’s data and AI ecosystem, anticipating industry trends and emerging technologies.
  • Translate R&D strategy into clear multi‑year capability and product roadmaps.
  • Bring external innovation, competitive insights, and industry best practices into Haleon.
Deep R&D Expertise & Thought Partnership
  • Serve as an SME across discovery, formulation, clinical/consumer science, regulatory workflows, and product lifecycle management.
  • Understand cross‑functional data needs across Marketing, Supply Chain, Quality, Regulatory, and Medical.
  • Advise R&D Tech leadership on scientific data strategy, architecture, governance, and AI enablement.
Product & Portfolio Ownership
  • Own the full lifecycle of all R&D data and insights products, from strategy to design to delivery to adoption and continuous improvement.
  • Build a transparent, value‑driven roadmap balancing near‑term delivery and long‑term transformation.
  • Oversee prioritization, investment evaluation, and product governance.
  • Ensure scalability, resilience, and interoperability across the enterprise data ecosystem.
Driving R&D Outcomes with Data & AI
  • Lead integration of AI/ML and agentic intelligence into scientific and technical workflows.
  • Identify high‑value AI use cases to enhance decision‑making and accelerate innovation.
  • Ensure responsible, ethical, and compliant AI tailored to regulated scientific environments.
  • Embed AI solutions into operational R&D processes.
Cross‑Functional Influence and Collaboration
  • Act as the connective leader across CDO, R&D Tech, Marketing, Supply Chain, Quality, and Regulatory.
  • Drive enterprise alignment on data standards, metadata, ontology, and integration patterns.
  • Influence senior stakeholders to adopt and invest in R&D data and AI strategies.
Delivery Leadership & Operational Excellence
  • Lead cross‑functional teams across data science, engineering, architecture, and analytics.
  • Ensure execution in alignment with enterprise data and AI technical strategy.
  • Oversee…
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