> Markdown version of [/jobs/ext/2700448-data-ai-delivery-lead-r-d](https://www.wearedevelopers.com/jobs/ext/2700448-data-ai-delivery-lead-r-d). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Delivery Lead - R&D - **Company:** Haleon Plc. - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Dataspaces, Interoperability, Metadata, Software Product Management, Azure Machine Learning, Data Strategy - **Published:** September 4, 2026 - **Apply:** https://www.careerjet.co.uk/job/gbdab2dee805e39f3c0fc762625effe99b/eaa ## About the Role Required Extensive experience in R&D, digital, data/AI product leadership, or scientific data roles. Deep SME knowledge of R&D workflows and scientific data ecosystems. Proven leadership of data/AI product portfolios in global matrixed organizations. Strong strategic thinking, communication, and senior-level influencing skills. Ability to translate strategy into clear, actionable delivery plans. Preferred Experience in consumer health, CPG, healthcare, or life sciences. Expertise in data architecture, ontologies, metadata, and AI/ML platforms. Knowledge of GenAI and agentic AI within scientific or technical domains. ## Description 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., 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 central support operations for all R&D data and insights products. Resolve data quality, governance, and interoperability issues impacting value realization. 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