Generative AI Lead - London

ROLE PURPOSE:

The Generative (Gen) AI Lead will play a pivotal role in embedding Generative AI (GenAI) practices across Global Banking School (GBS), supporting both academic and professional services teams.  Reporting to the Deputy Head of IT Systems with dotted line management to the Executive Director of Academic Operations, the postholder will act as the institution’s subject matter expert on GenAI, ensuring the effective, ethical, and compliant use of AI tools in line with GBS’s Staff and Student GenAI policies.

The Gen AI Lead will advise on policy implementation, deliver guidance and exemplars, support compliance (HR, academic misconduct, data protection), and drive training and upskilling initiatives across all business areas (e.g. Customer Services, HR, IT, Finance, and Facilities).

ROLE and RESPONSIBILITIES:

• Act as the institutional expert on GenAI, providing advice and guidance on policy implementation for both staff and students. 
• Own and govern the full lifecycle of GenAI models, including foundation model selection, fine tuning, distillation, evaluation, implementation of guardrails, reinforcement learning, and continuous improvement. 
• Establish and maintain benchmarks, evaluation harnesses, safety gates, and risk thresholds to ensure the safe, ethical, and effective deployment of GenAI systems. 
• Define and implement strategies to measure and enhance GenAI-mediated productivity across faculty and student-facing services, as well as direct student support. 
• Collaborate with academic and professional services teams to integrate GenAI capabilities into operational workflows, ensuring alignment with institutional goals and compliance standards. 
• Liaise with the Centre for Academic Excellence (CAE) and Learning and Development to ensure training and upskilling initiatives are fit for purpose and aligned with institutional needs, and lead or support the rollout of GenAI training. 
• Develop and maintain prompt libraries, exemplars, and best practice resources for GenAI use in teaching, assessment, research, and business operations. 
• Advise on compliance with HR requirements, academic misconduct procedures, and data protection regulations (including GDPR).
• Chair the Generative AI Special Interest Group (SIG) and participate as a subject matter expert in the PMO GenAI rollout project. 
• Lead on developing processes to facilitate compliance audits and reporting frameworks across the institution.
• Engage with key committees and governance structures, including the Finance & Resources Committee (FRC), Academic Board, and Data Protection Officer.
• Provide expert input on the integration of GenAI into non-academic areas (e.g. Customer Services, HR, IT, Finance, Facilities) as well as academic functions. 
• Collaborate with existing teams to ensure GenAI practices are embedded institution-wide and support a culture of ethical, inclusive, and sustainable AI use.

ESSENTIAL SKILLS and EXPERIENCE:

• PhD or equivalent experience in a relevant discipline.
• Significant experience in Higher Education, including GenAI implementation in teaching, assessment, and business operations. 
• Proven experience managing the full lifecycle of machine learning models, including foundation model selection, fine tuning, distillation, evaluation, and continuous improvement. 
• Demonstrated ability to design and implement evaluation frameworks, safety gates, and risk thresholds for GenAI systems. 
• Experience applying GenAI to enhance productivity in faculty and student-facing services, with measurable impact on academic and operational outcomes. 
• Demonstrable expertise in Generative AI technologies, tools, and their application in academic and professional contexts. 
• Strong experience working collaboratively across academic and professional services.
• In-depth knowledge of compliance requirements relating to HR, academic misconduct, and data protection (GDPR).
• Excellent communication, training, and stakeholder engagement skills. 

DESIRABLE SKILLS and EXPERIENCE:

• Experience developing or evaluating AI prompt libraries and exemplars.
• Experience supporting digital transformation or large-scale technology rollouts.

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