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- Tasks: Lead the product lifecycle for AI tools, collaborating with data scientists and stakeholders.
- Company: Join a global leader in energy, driving innovation in AI and data science.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of AI in the energy sector and make a real impact.
- Qualifications: 3+ years in product management with a focus on AI/ML and analytics.
- Other info: Be part of a small, dynamic team tackling industry challenges.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
AI Product Manager - Data Science in London employer: Vitol
Contact Detail:
Vitol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager - Data Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in AI or product management. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a case study showcasing your previous projects, especially those related to AI and product management. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI product management. Think about how you would handle stakeholder communication or project timelines, and be ready to share your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace AI Product Manager - Data Science in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and product management shine through. We want to see how you connect with the role and why you're excited about shaping the future of our AI portfolio.
Tailor Your Experience: Make sure to highlight your relevant experience in product management, especially with AI/ML products. We love seeing how your past roles have prepared you for this hands-on position, so don’t hold back on those details!
Be Clear and Concise: We appreciate clarity! When documenting your skills and experiences, keep it straightforward and to the point. Use bullet points if it helps, and make sure your key achievements stand out.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Vitol
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how these technologies can be applied in a product management context, especially in the energy sector. Show that you understand the technical side and can communicate it effectively to both technical teams and commercial stakeholders.
✨Showcase Your Project Management Skills
Prepare examples from your past experiences where you've successfully managed projects with cross-functional teams. Highlight your ability to plan, execute, and deliver on time while keeping everyone aligned. This will demonstrate that you can handle the end-to-end project lifecycle as mentioned in the job description.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to convey complex ideas to various stakeholders, so being able to translate technical jargon into business language is key. Consider preparing a few scenarios where you’ve had to bridge the gap between technical teams and business users.
✨Be Ready to Discuss Metrics
Since tracking product performance and usage metrics is crucial for this role, come prepared with examples of how you've used data to inform product decisions in the past. Think about how you measured success and what impact your products had on the business. This will show that you have an analytical mindset and can drive measurable value.
