Director, AI ML and Cloud Security

Own Cyber Architecture and Solutions's relationship with GSK's business functions, R&D and the Enterprise AI programme - the bridge between the technical AI function and the teams that use and build AI. You lead AI use-case intake and triage, assess proposals against security and architecture requirements, and route feasible cases into the Cyber Architecture and Solutions delivery pipeline.

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 CAS 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. The bridge between a technical AI security function and the business and R&D teams building with AI, and the job is translation in both directions. You will triage use-case proposals against AI architecture standards, classify them for EU AI Act exposure, and route the feasible ones into delivery - while telling senior scientists and business leaders no often enough that the relationship has to survive it.

Shadow AI is a live problem here, and the route to fixing it is making the governed path faster than the ungoverned one, not blocking people.

• Own Cyber Architecture and Solutions's relationship with GSK business functions, R&D and the Enterprise AI programme, and be the single front door for AI security.
• Lead AI use-case intake and triage: assess GenAI, RAG and agentic proposals against AI architecture standards and route the feasible ones into delivery.
• Classify use cases for EU AI Act exposure and apply the NIST AI RMF risk framing, including for AI embedded in GxP-validated and clinical contexts.
• Own the intake decision - proceed, redesign or refuse - on every AI use case GSK's business units and R&D bring to the function, and sign the decisions the pipeline register records.
• Represent the Cyber Architecture and Solutions security position in GSK's AI governance forums and in Responsible AI decision-making.
• Own AI risk and prioritisation scoring across the use-case portfolio, so sequencing is evidence-based rather than loudest-voice.
• Run business-side shadow AI discovery and bring unsanctioned tools into governance by making the governed path faster, not by blocking people.
• Hold the security position with R&D and business leadership when a funded AI programme cannot proceed as designed, and keep the relationship afterwards.
• Hold the security line with senior scientists and business leaders, and elevate where a use case cannot proceed safely.
• Sit on the Enterprise AI programme board and the Responsible AI council, and bring the quarterly demand forecast that sets AI Engineering's build priorities.

• Degree in a relevant discipline, or equivalent depth demonstrated through experience.
• Significant experience in cyber security, AI governance or technology risk, including leading teams - domain focus: AI Business Facing (business unit and R&D AI engagement); owning the business-facing relationship for an enterprise AI programme.
• Leading AI use-case intake and triage - assessing business and R&D AI proposals against security and architecture…