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Product Manager - Data Platforms - FTC

Job in West of England, Bristol, Bristol County, BS1, England, UK
Listing for: OVO Energy Group
Full Time, Contract position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Engineering, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 82000 - 100000 GBP Yearly GBP 82000.00 100000.00 YEAR
Job Description & How to Apply Below

Contract type: 12 month Fixed-Term Contract

Experience: Expert

Working pattern: Full-Time

Reporting to: Delivery & Growth Lead

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Enablement, Governance, Impact

Top 3 qualities for this role: Systems thinking, Analytical rigour, Stakeholder influence

Where you’ll work:

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person.

You’ll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life.

Everyone belongs at OVO:

At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Team working for the planet:

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

The Data Platform team builds the "golden path" for data at OVO: the ingestion, publishing, governance, and self-serve tooling that turns raw operational data into trusted, AI-ready data products served both as operational APIs and as analytical data products in Big Query. Today OVO's data estate is high-cost and low-trust: business logic is copy-pasted rather than governed, the same metric is defined differently by different teams, and people spend more time finding and cleaning data than using it.

This team is changing that by moving OVO to a governed data ecosystem where every team, and every AI agent, can find data, trust it, and build on it, whether they need it in real time or for analysis. Get this right and every downstream decision, model, and customer conversation rests on data people can rely on.

This role in a nutshell:

As a Staff Product Manager at OVO, you'll lead the product vision and strategy for the Data Platform: the tooling and governance that make OVO's data trusted, discoverable, and easy to reuse across both operational APIs and analytical data products served through Big Query. The platform is the enabler for data simplification across OVO: establishing clear sources of truth for our core business entities, retiring duplicated pipelines, tables, and APIs, and making data ownership explicit.

You'll own a portfolio spanning three capability areas: a golden-path platform foundation, trust and governance at scale, and self-serve discovery so teams find and reuse trusted data rather than rebuilding it. You'll bring data engineering, API and platform engineering, data science, analytics, and data-producing teams together, and use evidence (usage analytics, cost data, and user research) to prioritise the work that raises trust, cuts cost, and cuts duplication.

We are looking for a blend of strategic insight, technical fluency, and stakeholder influence to set product direction grounded in real signals and in OVO's business strategy.

Governed, deduplicated data is also what makes OVO's AI ambitions credible, so an understanding of how AI and ML solutions consume and depend on well-governed data is valuable.

Your key outcomes will be:
  • Governed, trusted, AI ready data at scale: Raise the share of well-governed datasets and the level of trust teams place in OVO's data sources and ensure data is classified and access-controlled so it can be relied on by people and served safely to AI and ML workloads.
  • Self-serve by…
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