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SeniorFull-timeMachine LearningData ScienceAI
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
We are looking for a pragmatic AI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitol's key AI assets, working closely with data scientists, machine learning engineers, and commercial stakeholders across trading, operations, and support functions.
This is a hands-on role that combines traditional product management with project management. You will be responsible for translating business needs into product requirements, managing delivery timelines, and ensuring our AI tools deliver measurable value to the business. As our AI portfolio continues to grow you will help shape the roadmap, prioritise features, and drive adoption across the organisation.
The successful candidate will join a small, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'. As a small team, everyone is expected to organise, prioritise and execute their own work with a strong focus on maximising business value.
Key Accountabilities
• Define and communicate the product vision, strategy, and roadmap for Vitol's AI portfolio in collaboration with the Data Science leads.
• Capture, document, and prioritise requirements from commercial stakeholders across trading, operations, and support functions, translating business needs into clear specifications for data scientists and engineers
• Help manage the end-to-end project lifecycle for AI initiatives, from scoping and planning through to delivery and post-launch evaluation
• Act as a key liaison between the Data Science team and business users, ensuring alignment on priorities, timelines, and expectations
• Drive user adoption of AI tools across the organisation, developing training materials, gathering feedback, and iterating on product features
• Coordinate with technology teams on application integration, data sourcing, infrastructure, and tooling requirements
• Track and report on product performance, usage metrics, and business impact to senior stakeholders
• Identify opportunities for new AI applications that address commercial challenges and contribute to Vitol's competitive advantage
