[Hiring] Lead, Technology Risk & Compliance Business Partners - AI @GSK

Role Description

The Lead, Technology Risk & Compliance Business Partners - AI will deliver the team's work and act as a senior hands-on contributor within Technology Risk & Compliance Business Partners - AI. This is a hands-on role with responsibility for leading discrete pieces of work, providing risk and compliance support to GSK's Enterprise AI organisation as it builds and operates AI solutions for the Tech function. This role covers GSK's artificial intelligence and machine learning estate, including generative and agentic AI.

About the team: The Technology Risk and Compliance Business Partners are the face of the Cyber Security Office to GSK's business and technology areas. Each partner owns the cyber risk and compliance relationship for an assigned area, translating central strategy into what that area actually needs to do, and bringing its risk back into the Cyber Security Office.

Key responsibilities:

• Support the cyber risk and compliance relationship for the assigned area, GSK's artificial intelligence and machine learning estate.
• Develop a working understanding of the Enterprise AI organisation's development and deployment practices for generative and agentic AI solutions, and advise the team on how changing AI capabilities, threats and regulations affect its risk posture.
• Maintain current knowledge of how AI systems can be attacked, misused or behave unexpectedly, including prompt injection, jailbreaking, data poisoning, model theft, hallucination and unsafe autonomous actions, and the preventive and detective controls, such as guardrails, output filtering, monitoring, human-in-the-loop oversight and access controls on agentic actions, used to manage those risks.
• Identify, analyse and influence the management of cyber security risk across the assigned area.
• Hold operational areas, risk owners and suppliers to account against the Cyber Security Office strategy for the assigned area.
• Build and maintain the cyber risk register for the area, including risk statements, ratings, owners and treatment plans.
• Embed security requirements and controls at the start of initiatives rather than retrofitting them before go-live.
• Facilitate risk assessments for new initiatives, systems and third parties in the assigned area.
• Translate central cyber policy and standards into practical guidance the area can apply.
• Use approved AI tools in your day-to-day work to improve your own productivity and your team’s ways of working, sharing what works and applying sound judgement, including validating outputs and following GSK’s Responsible AI, privacy and security requirements.

Qualifications

• Degree in a relevant discipline, or related experience.
• Experience in cyber risk, technology risk or information security governance.
• Working knowledge of risk assessment and risk register management.
• Hands-on experience in the relevant cyber security domain.
• Understanding of AI and machine learning risk and compliance concepts, including those specific to generative and agentic AI.
• Understanding of common AI attack and failure modes, such as prompt injection, data poisoning, model theft, hallucination and unsafe autonomous behaviour, and the controls used to mitigate them.
• Experience independently completing work to meet defined quality standards.
• Experience reviewing analysis and documentation for accuracy and completeness.

Requirements

• Experience acting as a business information security officer or embedded security partner.
• Working knowledge of NIST CSF, ISO 27001 and ISO 22301.
• Experience with GRC platforms such as ServiceNow.
• Experience in pharmaceutical or another regulated industry, including GxP and SOX contexts.
• Ability to influence senior stakeholders without direct authority.
• Relevant certification such as CISM, CRISC, CISA, CISSP.
• Experience in pharmaceutical, life sciences or another highly regulated industry.
• Experience with AI security and governance frameworks such as the NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, or ISO/IEC 42001.
• Exposure to AI red-teaming, model evaluation or AI safety testing practices.

Benefits

• Health care and other insurance benefits (for employee and family).
• Retirement benefits.
• Paid holidays.
• Vacation.
• Paid caregiver/parental and medical leave.
• Annual bonus and eligibility to participate in share-based long-term incentive program.