Associate Director - AI ML and Cloud Security, AI Business

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 centred 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.

Domain focus: AI Business Facing (AI use-case intake and governance for business unit portfolios).

Job Purpose:

Manage AI use-case intake and governance for defined business unit portfolios. You own the use-case pipeline register from intake through triage to handoff, track governance status, and develop the AI governance playbooks that let business teams self-serve rather than queueing for Cyber Architecture and Solutions advice.

About the team:

AI ML and Cloud Security is the function through which GSK is transforming security itself. The team designs and builds the agentic framework, a multi-agent platform moving security services across the Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that Cyber Architecture and Solutions designs, builds and tests before a managed service vendor operates it. The team also governs AI tool security posture, advises on cloud security across the Azure and GCP estate, and is the front door between GSK's business units and R&D and the technical AI function. AI security standards set here are binding on every AI initiative in GSK. Seventeen roles across the UK, India and the US.

What makes this role different. You own the AI use-case pipeline for a defined set of business unit portfolios end to end — intake, risk and prioritisation scoring, governance status and the handoff to AI Architecture for feasibility. The pipeline register is the single source of truth for what AI the business is building, and it is only as good as your chasing. You will write the AI governance playbooks that let business teams self-serve, and apply EU AI Act classification to proposals from people who have never heard of it.

Key responsibilities:

This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:

• Own AI use-case intake and governance for defined business unit portfolios — running each proposal to a recorded decision inside an agreed service level.

• Maintain the use-case pipeline register from intake through triage to handoff, and keep it accurate enough to be the single source of truth.

• Apply EU AI Act classification and AI risk and prioritisation scoring to each proposal, including for use cases in GxP-validated contexts.

• Track governance status per use case and chase the architecture, security and Responsible AI decisions that unblock them.

• Coordinate with AI Architecture on feasibility and with AI Security on model and agent risk assessment.

• Develop AI governance playbooks — intake criteria, data handling rules and approval routes — that business teams can apply themselves.

• Run business-side shadow AI discovery alongside the technical discovery programme, and bring findings into the register.

• Support AI security awareness activity for business leaders and translate technical requirements into language they will act on.

• Escalate use cases that cannot meet the security standards rather than progressing them informally.

• Publish the monthly AI portfolio view the Director takes to the Responsible AI council — proposals in flight, decisions overdue, and the shadow AI tools found that month.

• Lead your team in using approved AI tools to improve productivity and ways of working, role-modelling responsible use and follow GSK's Responsible AI, privacy and security requirements.

• Own the design of the AI use-case intake service — the decision rights, the service levels and the outcome measures it is judged on — rather than only operating it.

• Set and report the value and outcome measures for the approved use-case portfolio, so the intake service is held to benefit delivered as well as risk avoided.

Basic Qualifications:

• 15+ years in cyber security, AI governance or technology risk in a regulated environment — domain focus: AI Business Facing (AI use-case intake and governance for business unit portfolios)

• Running AI use-case intake and governance — owning the use-case pipeline register from intake to handoff, tracking governance status and chasing blocking decisions, with automated intake and status tracking

• Assessing AI use cases for security, data classification, model risk and regulatory impact, coordinating feasibility with AI Architecture and risk assessment with AI Security before routing to engineering

• Business-side shadow AI discovery alongside technical discovery, driving remediation of unsanctioned AI tools and copilots through engagement

• Translating GenAI, LLM and agent risks (data leakage, prompt injection, hallucination, IP exposure) into plain-language guidance and governance playbooks business teams can apply themselves

Preferred Qualifications:

• AI governance frameworks — EU AI Act, NIST AI RMF and ISO/IEC 42001

• AI risk assessment and prioritisation — plus workflow automation or low-code tooling

• Regulated industry experience, including GxP

• Executive stakeholder exposure and influencing without authority

• ServiceNow or Power Apps workflow build, so intake is a form with validation rules rather than an inbox.
• Qualifications: Bachelor's degree in a relevant discipline, or equivalent professional experience.
• Typical tools and technologies: Use-case pipeline register and intake triage, AI risk and prioritisation scoring, AI governance playbooks for business unit teams, EU AI Act and responsible AI awareness, ServiceNow or equivalent workflow tooling, Power BI for governance status reporting.

#AGTech

Skills

AI for Cybersecurity, AI Platforms, Application Security, Cloud Application Security, Cloud Security, Computer Programming, Data Security, Google Cloud Platform (GCP), Identity Access Management (IAM), Information Systems, Infrastructure Security, Kubernetes, ML Security, Operating Systems Security, Scripting, Security Engineering, Security Technologies, Security Testing, Vector Databases, Vulnerability Management

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at [email protected] to discuss your needs.

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