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BP seeks a Senior Compliance Manager, Analytics & Innovation in London to govern Generative AI, Agentic AI and emerging technologies across its global Supply, Trading & Shipping businesses. This role provides leadership on AI governance, model risk and the application of analytics to compliance and trade-surveillance.
You will collaborate with compliance, trading and technology teams to translate risks into practical controls and drive governance across regions, developing new workflows and
Job Family Group:
Ethics & Compliance Group
Help shape how bp governs and applies Generative AI, Agentic AI and emerging technologies across its global Supply, Trading & Shipping business.
As Senior Compliance Manager, Analytics & Innovation, you will be a key Ethics & Compliance authority for AI governance, model risk and emerging technology. You will monitor external developments, evolve governance and compliance guidance, and translate new risks and opportunities into practical solutions.
Working across multiple regions, commodities and trading activities, you will partner with compliance, trading and technology teams to enhance compliance analytics, monitoring and trade-surveillance capabilities. You will identify and evaluate new AI use cases, including agentic solutions capable of supporting multi-step tasks and workflows, and help move ideas from early experimentation into controlled implementation.
This is a highly visible role, working with senior leaders across Supply, Trading & Shipping and participating in the Ethics & Compliance Extended Leadership Team. It offers the opportunity to lead new workstreams, develop others and influence the future direction of compliance analytics and innovation.
This role is based at our Canary Wharf, London office and follows a hybrid working model, with regular in-office presence expected.
Significant experience assessing, governing, enabling or deploying Generative AI, AI-enabled solutions, advanced analytics, automation or other emerging technologies within a regulated compliance, risk or control environment, with an understanding of Agentic AI and its evolving applications and risks.
Strong knowledge of AI governance and model-risk principles, including model limitations, data quality, human oversight, third-party risk, ongoing monitoring and proportionate control design.
Experience identifying emerging-technology use cases and translating regulatory, compliance or risk considerations into practical governance, controls and delivery requirements.
Strong technical fluency and the ability to work credibly with data, engineering, product and technology specialists. Deep software-engineering or model-development expertise is not required, but experience experimenting with ent