GSK
AI & Innovation Senior Manager
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AI Product Leader
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.
The Risk Analytics and Monitoring (RAM) team supports GSK in establishing a proactive, data-driven compliance culture that aligns with the organisation's strategic priorities and values. Our team delivers actionable insights that enable Legal and Compliance teams to identify emerging risks, focus resources, and make better-informed decisions. Through advanced analytics and responsible application of artificial intelligence, we strengthen risk management, improve Compliance effectiveness, and help position Compliance as a strategic partner to the business.
Role Overview
We are seeking an AI product leader to shape and deliver a major portfolio of Compliance AI products in a highly regulated, global environment. The portfolio spans two areas:
- Generative AI products that transform complex risk and compliance data into clear, decision-ready insights through capabilities such as knowledge retrieval, summarisation, explanation, and decision support.
- Agentic AI products that support complex compliance activities through workflow orchestration, tool use, task execution, and appropriate human oversight.
You will take primary ownership of one of these portfolios, based on your expertise and the complementary strengths of the wider team. You will also help shape AI methodology, responsible AI practices, and the broader innovation roadmap across Compliance Risk Analytics.
This is an opportunity to apply emerging AI capabilities to complex, real-world compliance challenges at global scale. Success will require strong product leadership and technical credibility, combined with the ability to influence across business, technology, cultural, and geographic boundaries. You will lead through expertise, collaboration, and influence rather than formal authority.
In this role you will
- Own the end-to-end lifecycle of an AI product portfolio from problem definition through solution design, delivery, evaluation, validation, production launch, adoption, monitoring, and continuous improvement, executing against the established strategy and business priorities.
- Translate business and user needs into a focused product roadmap, prioritised backlog, clear requirements, acceptance criteria, and measurable outcomes, balancing business value, risk, technical feasibility, dependencies, and delivery capacity.
- Establish robust AI methodology and alignment with GSK’s responsible AI framework, ensuring solutions are trustworthy, explainable, appropriately governed, and fit for purpose. This includes evaluation, validation, human oversight, guardrails, traceability, performance monitoring, and relevant grounding or orchestration approaches.
- Provide technical direction and quality oversight to internal teams and delivery partners, constructively challenging architecture and design decisions and reviewing evidence of testing, validation, security, scalability, and production readiness.
- Build trusted partnerships across Compliance, Legal, Risk Owners, Analytics, and Tech teams, aligning stakeholders around priorities and enabling secure, scalable, supportable products that integrate effectively with enterprise data and systems.
- Shape the AI innovation pipeline by identifying emerging capabilities, assessing their relevance to Compliance challenges, developing business cases, and converting successful experimentation into reusable and scalable solutions.
- Communicate complex technical choices, risks, and trade-offs clearly to senior business and technical stakeholders, enabling informed decisions and maintaining alignment across complex global initiatives.
- Strengthen organisational capability through coaching, knowledge sharing, reusable standards, and practical guidance that improves how AI products are designed, governed, delivered, and operated.
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Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Significant experience owning and delivering enterprise AI, generative AI, agentic AI, or similarly complex digital products, including taking solutions beyond proof of concept into reliable operational use.
- Deep expertise in at least one of the following areas:
- Generative AI products, including retrieval, grounding, prompt and context design, evaluation, validation, and human review
- Agentic AI products, including orchestration, tool use, workflow execution, observability, guardrails, and human oversight.
- Strong product leadership experience across roadmaps, prioritisation, delivery governance, stakeholder adoption, and lifecycle management.
- Strong technical depth in modern AI development practices, including Python and enterprise AI architectures, with the credibility to challenge technical decisions and guide engineering teams without needing to act as the primary developer.
- Experience establishing evaluation, validation, monitoring, and responsible AI controls.
- Demonstrated ability to lead complex cross-functional delivery and influence senior business and technical stakeholders in a global, matrixed organisation.
- Strong communication skills, including the ability to explain complex technical concepts, risks, and trade-offs to different audiences and support effective decision-making.
- Advanced knowledge gained through a degree or equivalent professional experience in computer science, data science, artificial intelligence, analytics, engineering, mathematics, or a related discipline.
Preferred Skills:
If you have the following characteristics, it would be a plus:
- Experience in pharmaceuticals, financial services, healthcare, or another regulated domain.
- Experience with Microsoft Azure AI services, Microsoft Copilot, Copilot Studio, agent frameworks, model platforms, retrieval and search technologies, or comparable enterprise AI platforms.
- Experience delivering global AI products that require user validation, adoption, localisation, enterprise integration, and coordination across business and technical teams.
Skills
Business Acumen, Data Acquisition Systems, Data Engineering, Data Evaluation, Data Visualization, Project Management
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
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GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.
We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
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