AI Product Manager Data Science

Vitol

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

We are looking for a pragmatic AI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitols 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 Vitols 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 Vitols competitive advantage

Qualifications :

  • 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

Remote Work :

No


Employment Type :

Full-time

We are looking for a pragmatic AI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitols key AI assets working closely with data scientists machine learning engineers and commercial stakeholders across trading operations and support functions.This i...
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Key Skills

  • Time Management
  • Data Analytics
  • Analytical
  • Agile
  • Requirement Gathering
  • Strategic thinking
  • Visio
  • Communication
  • Problem Solving
  • Market Research
  • UML
  • Cross Functional Teams

About Company

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We are a leader in the energy sector with a presence across the spectrum; from oil through to power, renewables and carbon credits. Every day we use our expertise to distribute energy around the world. We source from producers, refiners and intermediaries and deliver to refineries, ut ... View more

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