Own the strategy, vision, and roadmap for the PDL as a governed data product — engaging external and internal consumers, the Analytics Chapter, and engineering leadership to define, validate, and continuously iterate the direction.
Own the commercial narrative for the PDL as an external product offer — defining what ENSEK’s data capability means to an energy retailer’s analytical team, how it is differentiated, and working with commercial partners to validate positioning and identify the investment required to productise it at scale.
Make evidence-based prioritisation decisions, estimating the effort and value of roadmap items, using AI-powered estimation tools to improve accuracy, and discussing trade-offs transparently with stakeholders.
Define and track key product outcomes — implementing dashboards for real-time performance visibility, and using data to drive continuous improvement in quality and user experience.
Represent users confidently in internal discussions, advocating for research across all user types and leveraging AI-powered tools to accelerate insight generation at scale.
Advocate for product-led thinking within your team, consult with stakeholders to protect the team from unnecessary directional changes, and champion AI tool adoption.
Build long-term stakeholder relationships, implementing communications strategies and influencing effectively to drive alignment and outcomes.

Demonstrable experience owning and delivering a data product, data platform, or governed data mart end-to-end within a SaaS or platform environment — with accountability for outcomes, not just delivery.
Experience defining and operating a data service: service catalogues, SLAs, consumer onboarding, and managing competing demands across multiple stakeholders.
Proven track record of using data and AI tools to drive product decisions.
Practitioner-level Agile knowledge with experience running or contributing to delivery ceremonies in a data or platform engineering context.
Experience in regulated, data‑critical environments (e.g. energy, utilities, financial services or similar), with familiarity of modern data platforms and analytics (such as Databricks, AWS S3, Sigma or equivalents) and a practical understanding of how data science and machine learning can be applied to create high‑value, compliant, data‑driven outcomes would all be advantageous.

25 days’ holiday + bank holidays
Option to buy or sell 5 extra annual leave days per year
Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks (50% off gym memberships -Virgin Active, Nuffield, PureGym)
Pension with 5% matched contribution
Regular team‑wide and company‑wide events
2 volunteering days per year to give back
Remote‑first working environment with offices in London and Nottingham

Product Manager – Data Platform

Key skills