Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities, including metals, to consumers and industry worldwide. In addition to its primary business, trading, Vitol is invested in infrastructure globally, with $13+billion invested in long-term assets.
Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were over $330bn.
Find out more at vitol.com.
Job DescriptionWe are looking for a pragmatic GenAI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitol's key GenAI 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 GenAI 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 GenAI 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
- Minimum 3 years of experience in product management, with demonstrable experience managing technical products (AI/ML, analytics)
- Strong requirements capture and documentation skills; ability to translate loose business needs into structured specifications
- Experience managing projects with cross-functional teams, including delivery planning, stakeholder management, and risk mitigation
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders
- Analytical mindset with the ability to use data to inform product decisions and measure success
- Self-motivated and comfortable working autonomously in a fast-paced, entrepreneurial environment
- Team player with an open, non-political style and high level of personal integrity
