Data & AI Delivery Lead - R&D

Data & AI Delivery Lead - R&D

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Gsk

At a Glance

  • Tasks: Lead the charge in harnessing data and AI to revolutionise R&D processes.
  • Company: Join Haleon, a purpose-driven consumer health company with a trusted brand portfolio.
  • Benefits: Enjoy competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Be part of a diverse team committed to inclusion and belonging.
  • Why this job: Make a real impact on everyday health through innovative data and AI solutions.
  • 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:

  • 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.

Equal Opportunities: Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong.

Adjustment or Accommodations Request: If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence.

Note to candidates: The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch.

Data & AI Delivery Lead - R&D employer: Gsk

At Haleon, we pride ourselves on being a purpose-driven employer that champions everyday health through innovation and collaboration. Our agile, performance-focused culture fosters an inclusive environment where diverse perspectives are valued, providing ample opportunities for professional growth and development. Located in the United Kingdom, our commitment to employee well-being and ethical practices ensures that you will be part of a team dedicated to making a meaningful impact in the lives of millions.

Gsk

Contact Details:

Gsk Recruitment Team

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 Haleon’s values and recent projects. Show us how your skills align with our mission to deliver better everyday health with humanity.

Tip Number 3

Practice your pitch! Be ready to explain how your experience in R&D and AI can drive innovation at Haleon. Keep it concise and impactful.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Data & AI Delivery Lead - R&D

R&D Processes
Data and AI Ecosystem Development
Strategic Visioning
Cross-Functional Collaboration
Scientific Data Strategy
AI/ML Integration
Product Lifecycle Management

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for R&D and AI shine through! We want to see how your experiences align with our mission to improve everyday health. Make it personal and relatable.

Tailor Your CV:Don’t just send a generic CV! Tailor it to highlight your relevant experience in R&D, data, and AI. We’re looking for specific examples that demonstrate your expertise and how you can contribute to our vision.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to connect your skills and experiences directly to the responsibilities outlined in the job description. We love a good story!

Apply Through Our Website:Make sure to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our company culture there.

How to prepare for a job interview at Gsk

Know Your R&D Stuff

Make sure you brush up on your knowledge of R&D processes and scientific data ecosystems. Be ready to discuss how your expertise can drive innovation and improve decision-making in the context of Haleon's mission.

Showcase Your Strategic Vision

Prepare to articulate a clear vision for how you would shape and execute the data and AI strategy at Haleon. Think about industry trends and how you can leverage them to enhance R&D outcomes.

Demonstrate Cross-Functional Collaboration

Be ready to share examples of how you've successfully worked across different teams, like Marketing and Supply Chain. Highlight your ability to influence stakeholders and align on data standards and integration patterns.

Emphasise Ethical AI Practices

Given the focus on responsible AI, be prepared to discuss how you would ensure ethical and compliant AI solutions within regulated environments. Show that you understand the importance of governance and data quality.