Product Manager – Golden Phoenix Data & AI

Company: BP
Apply for the Product Manager – Golden Phoenix Data & AI
Location: London
Job Description:

Overview

As a Product Manager for bp’s Data & AI portfolio, you will define strategy and drive adoption of data, analytics, and AI capabilities across Supply, Trading & Shipping. You will partner with engineering, data science, and business teams to deliver scalable, high-impact products that enable data-driven decision-making and responsible AI. You’ll balance priorities, measure outcomes, and ensure reusable, joined-up product experiences. This role blends commercial insight with technical understanding in a large, fast-moving organization.

Pay / Benefits

  • flexible working options
  • generous paid parental leave
  • excellent retirement benefits
  • disability accommodations
  • travel up to 10%

Responsibilities

  • Define product strategy for the Data & AI portfolio aligned with ST&S goals
  • Translate business needs into strategic roadmaps and measurable outcomes
  • Collaborate with engineering and data science to build scalable, reusable solutions
  • Use data-driven metrics to evaluate adoption and value realization
  • Integrate user feedback to refine product experiences
  • Shape cross-functional delivery and ensure timely value delivery
  • Foster agile ways of working and navigate organisational constraints

Key requirements

  • Extensive product management experience in data, AI/ML, analytics, or complex platforms
  • Proven partner management with senior business leaders
  • Solid understanding of Agile delivery and backlog/roadmap management
  • Familiarity with data, analytics, AI concepts including responsible AI and governance
  • Ability to work with engineering, data science, architecture, and design teams
  • Strong analytical capability using dashboards and metrics to guide decisions
  • User-focused and outcome-driven
  • Clear communicator across business and technical audiences
  • Strategic and analytical thinker
  • Data management and governance
  • Data integration and transformation
  • Data visualization and interpretation

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Posted: October 23rd, 2026