At a Glance
- Tasks: Lead the rollout of data products and engage with key clients to meet their needs.
- Company: Join a pioneering Energy Intelligence Platform transforming the energy sector.
- Benefits: Enjoy competitive pay, flexible holidays, health perks, and personal development from day one.
- Other info: Diverse team culture with opportunities for growth and learning in a dynamic environment.
- Why this job: Make a real impact in the clean energy transition while working with cutting-edge data technology.
- Qualifications: 3+ years as an agile Product Manager with strong communication and stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
This role is based in London, Bristol or Paris and requires existing right to work in the UK or France. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis.
The company is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Leveraging Data, AI, and real-time decision-making we turn energy complexity into growth opportunities for our partners. By combining predictive algorithms with human-centred design, the company makes clean energy dependable and affordable.
With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
As the Product Manager for Data Product Implementation, your primary responsibility is to successfully lead the data products rollout for a key client. You will work closely with engineers and experts in the Data Product team, other domain Implementation leads, and relevant client subject-matter experts to ensure that our data model and products are localised to meet our client's needs.
Responsibilities include:
- Client Engagement: Articulate the data products and data models to our key clients.
- Requirements & Roadmap: Document and translate client requirements for data products and align them with the global product roadmap priorities.
- Development Support: Support development by refining and prioritising backlog items and work with software engineers to deliver solutions that drive value for clients.
- Product Adoption: Drive product adoption through the creation of technical documentation, release communications, and delivering training sessions for client stakeholders.
- Domain Integration: Gain a broad understanding of various Product areas—Billing & Payments, Customer Care, Energy Commerce and Energy Optimisation—and how data products can unlock value in each.
- Data Model Contribution: Be a key contributor to the global data model with the potential to own its extension and maintenance for all clients.
- Metrics & Culture: Work with the team to build and measure the right metrics for product success and nurture a culture of learning from data.
- Communication: Radiate information, improve transparency and communicate effectively to internal and external audiences.
About You
Ideally you'll have/be:
- Technical Experience: 3+ years experience as an agile Product Manager working on data platforms/products.
- Rollout Experience: Experience supporting large-scale enterprise product rollouts, especially on
Product Manager (Data) - Fluent French & English employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team