Data & AI Product Owner

Job title: Data & AI Product Owner
Contract Length: 1 year
Location: London (hybrid)
IR35: Inside
Sector: Oil & Gas / Energy

Role Summary
We are seeking an experienced Data & AI Product Owner with a strong consulting mindset to lead the vision, strategy, and delivery of AI-powered data products and enterprise data platform capabilities. The ideal candidate will bridge business and technology, identify high-value AI opportunities, define product roadmaps, and drive adoption of Data & AI solutions that create measurable business outcomes.

This role requires deep experience in Product Management, AI/GenAI, Data Analytics, Data Platforms, Stakeholder Engagement, and Digital Transformation. The candidate should be capable of advising senior business leaders on how AI can transform processes, improve productivity, reduce costs, and unlock new business value.

Key Responsibilities

• Define and own the product vision, strategy, roadmap, and value realization for Data & AI products.
• Partner with business stakeholders to identify and prioritize AI, GenAI, Analytics, and Automation opportunities.
• Act as a trusted advisor, helping business teams translate challenges into scalable AI-driven solutions.
• Drive product discovery, business case development, value estimation, and prioritization.
• Lead AI use cases involving Copilot, AI Agents, RAG, Knowledge Assistants, Intelligent Automation, Predictive Analytics, and GenAI solutions.
• Collaborate with Data Engineers, AI Engineers, Architects, and Business teams to deliver products aligned with business objectives.
• Own product backlog, user stories, acceptance criteria, and product releases.
• Define and track KPIs, adoption metrics, business outcomes, and ROI.
• Drive AI adoption, change management, and stakeholder engagement across the organization.
• Ensure Responsible AI, Data Governance, Security, and Compliance principles are embedded within product design.

Required Skills & Qualifications

• 10+ years of experience in Product Management, Consulting, Data Analytics, or Digital Transformation.
• Strong experience as a Data Product Owner, AI Product Owner, Product Manager, or Management Consultant.
• Deep understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and Enterprise Data Platforms.
• Experience with AI ecosystems including: Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI Agents and Knowledge Assistants
• Strong knowledge of Data Lakehouse, Data Warehouse, Analytics, and modern cloud data platforms.
• Ability to create product strategies, business cases, investment proposals, and executive-level presentations.