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 shaping the future of everyday health.
- Why this job: Make a real impact in R&D by harnessing data and AI to accelerate innovation.
- 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 employer: Haleon
At Haleon, we pride ourselves on being a purpose-driven employer that champions everyday health through innovation and collaboration. Our London-based team thrives in a dynamic work culture that fosters agility and performance, offering extensive growth opportunities in the rapidly evolving fields of data and AI. Join us to be part of a mission that not only enhances your career but also positively impacts millions of lives worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Lead - R&D
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and values, so you can show how you fit right in with their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role. Keep it concise but impactful – you want to leave them wanting to know more.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Data & AI Delivery Lead - R&D
Some tips for your application 🫡
Show Your Passion for R&D:When writing your application, let your enthusiasm for R&D shine through! We want to see how your experience aligns with our mission to innovate in everyday health. Share specific examples that highlight your passion and expertise in data and AI.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data & AI Delivery Lead role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the position.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant, and make sure to highlight your key achievements and skills that relate directly to the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Haleon and our exciting journey in consumer health.
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. Familiarise yourself with Haleon's portfolio and how data and AI can enhance their product lifecycle. This will show that you're not just interested in the role, but also in how you can contribute to their mission.
✨Showcase Your Strategic Thinking
Prepare to discuss how you would define and champion a strategic vision for R&D data and AI products. Think about industry trends and emerging technologies that could impact Haleon. Be ready to translate complex strategies into clear, actionable plans during the interview.
✨Highlight Cross-Functional Collaboration
Since this role requires collaboration across various departments, be prepared to share examples of how you've successfully influenced stakeholders in previous roles. Discuss how you can act as a connective leader and drive enterprise alignment on data standards and integration patterns.
✨Demonstrate Your Leadership Skills
Think of specific instances where you've led cross-functional teams or managed data/AI product portfolios. Highlight your ability to promote agile delivery and continuous improvement, as well as how you've resolved data quality and governance issues in the past.
