At a Glance
- Tasks: Lead the vision for R&D's data and AI ecosystem, driving innovation and strategic insights.
- Company: Join Haleon, a purpose-driven consumer health company with a trusted portfolio of brands.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Be part of a dynamic team focused on transforming health through innovative technology.
- Why this job: Make a real impact in R&D by harnessing data and AI to improve everyday health.
- Qualifications: Extensive experience in R&D and strong leadership skills in data/AI product management.
The predicted salary is between 80000 - 100000 £ per year.
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 central support operations for all R&D data and insights products. Resolve data quality, governance, and interoperability issues impacting value realization. Promote agile delivery, measurable outcomes, and continuous improvement.
Qualifications and skills
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.
Data & AI Delivery Lead - R&D in London employer: Haleon
Haleon is an exceptional employer that champions a purpose-driven culture, fostering innovation and collaboration within its dynamic London office. Employees benefit from a strong focus on personal and professional growth, supported by a commitment to agile practices and a diverse portfolio of trusted health brands. With a strategic vision centred on harnessing data and AI for R&D, Haleon offers a unique opportunity to contribute to meaningful advancements in everyday health while being part of a supportive and inspiring team.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Lead - R&D in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate, but someone who truly gets their mission and values.
✨Tip Number 3
Practice your pitch! You want to be able to clearly articulate your experience and how it aligns with the role. Keep it concise and impactful.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role.
We think you need these skills to ace Data & AI Delivery Lead - R&D in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & AI Delivery Lead role. Highlight your experience in R&D, data ecosystems, and AI. We want to see how your skills align with our mission at Haleon!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about R&D and how you can contribute to our vision. Keep it engaging and relevant to the role.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've driven innovation and improved processes in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at Haleon
✨Know Your R&D Inside Out
Make sure you brush up on your knowledge of R&D processes and scientific data ecosystems. Understand how data and AI can drive innovation in these areas, as this will be crucial for the role. Be ready to discuss specific examples of how you've applied your expertise in past projects.
✨Showcase Your Strategic Vision
Prepare to articulate a clear vision for how you would shape and execute the data and AI strategy within the company. Think about industry trends and emerging technologies that could impact R&D, and be ready to share your insights on how to leverage them effectively.
✨Demonstrate Cross-Functional Collaboration
This role requires working across various teams, so be prepared to discuss your experience in cross-functional collaboration. Share examples of how you've influenced stakeholders and driven alignment on data standards or project goals in previous roles.
✨Emphasise Ethical AI Practices
Given the focus on responsible and compliant AI, be ready to discuss your understanding of ethical AI practices. Highlight any experience you have with ensuring compliance in regulated environments, and be prepared to talk about how you would approach this in the context of R&D.
