Product Manager – Golden Phoenix Data & AI Foundations at Rainiersoft Consulting, London, £400-£450 per day

Job Title: Product Manager – Golden Phoenix Data & AI Foundations

• Department: Technology Digital Delivery – Supply Trading & Shipping
• Contract:
• Inside IR35
• Domain (Finance / Utilities.. etc): Finance
• Base location: London
• Hybrid work options (number of days on site) : 4 Days onsite needed at London office

Role Overview:

We are seeking a Product Manager to lead the strategy, development, and scaling of three foundational product areas within the Data & AI portfolio:

• Unstructured Data Service
• Variable Latency Streaming
• Core AI Components

These capabilities form the backbone of next‑generation AI, and business intelligence across bp’s Supply, Trading & Shipping organisation.

The Product Manager will define product strategy, prioritise outcomes, and work closely with delivery leads, engineers, data scientists, other delivery teams, and business stakeholders to

deliver scalable, high-performing products. The role requires a blend of commercial knowledge, design thinking, and technical depth, with an ability to navigate emerging

AI technologies and complex data ecosystems.

What You Will Deliver

Product Thinking

• Define product strategy across the three capability areas, linking outcomes to ST&S organisational goals.
• Develop strong insight into user pain points and user journeys across Trading FO teams.
• Translate business needs into strategic product roadmaps, ensuring alignment with business priorities.
• Understand and articulate commercial value.
• Balance conflicting priorities across customer needs, enterprise strategy, and technical feasibility.
• Evaluate product performance using data-driven insights and metrics.
• Integrate user feedback loops, ensuring product decisions reflect real customer needs and workflows.
• Partner with delivery teams to ensure product experiences are intuitive.

Technology Delivery:

• Collaborate with engineering teams to define scalable and re-usable architectures for ingestion, streaming, AI models, metadata, lexicons, and security services.
• Use iterative experiments, prototypes, and pilot deployments to validate hypotheses before scaling.
• Explore opportunities to reuse platform components and identify new capabilities that accelerate enterprise AI development.

Be Agile:

• Shape ways of working across cross-functional teams, improving delivery flow, communication, and shared accountability.
• Work with and influence a broad stakeholder landscape, including senior executives, technology leaders, and use case Technology delivery teams.
• Navigate complex organisational constraints to remove impediments and accelerate time‑to‑value.

Product Domains You Will Own

1. Unstructured Data Service. The Product Manager will own the roadmap for ingesting, extracting, cataloguing, and curating unstructured data from sources such as email, chat, documents, and third-party content.

2. Variable Latency Streaming. The Product Manager will provide capabilities for near-real-time data publishing from ETRM systems, enabling decoupled consumption.

3. Core AI Components. The Product Manager will oversee foundational AI capabilities that enable enterprise-grade AI applications.

What You Will Need To Be Successful

Skills and Experience:

• Extensive experience in product management, ideally within data, AI/ML, analytics, or complex technical platforms.
• Proven stakeholder management experience, including engagement with senior business leaders.
• Strong understanding of Agile delivery and experience managing backlogs, roadmaps, and iterative releases.
• Familiarity with AI concepts such as LLMs, prompt engineering, metadata, lexicons, and responsible AI.
• Ability to work closely with engineering teams on architecture and platform decisions.
• Strong analytical capability, comfortable working with SQL, dashboards, and performance metrics.

Desirable:

• Experience with unstructured data processing, streaming architectures, and AI application development.
• Understanding of data governance, AI ethics, and regulatory frameworks.
• Strong domain knowledge in commodity trading.

Key Competencies

• User-focused and outcome-driven.
• Clear communicator who can translate between business and technical audiences
• Comfortable operating in fast-paced, emerging-technology environments within a large organisation.
• Strategic and analytical mindset.
• Strong influencer with the ability to align diverse stakeholders

Pay: £400.00-£450.00 per day