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Ai product manager - data science (energy) - london

London
Options Group
Product manager
Posted: 10 February
Offer description

Job Description

Our client is a major global energy trader in Oil + Energy Products.

We are recruiting a customer focused AI Product Manager to join an established AI function. In this role you will own the product lifecycle for 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 AI tools deliver measurable value to the business.

The Role:

- Define and communicate the product vision, strategy, and roadmap for AI portfolio

- Capture, document, and prioritise requirements

- Help manage the end-to-end project lifecycle for AI initiatives

- Act as a key liaison between the Data Science team and business users

- Drive user adoption of AI tools across the organisation, training users, gathering feedback, and iterating on product features

- Work with technology teams on application integration, data sourcing, infrastructure, and tooling requirements

- Track and report on product performance, usage metrics, and business impact

- Identify opportunities for new AI applications

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

- Team player, non-political style, entrepreneurial

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