Are you a Data Product Manager who can lead data and AI initiatives end-to-end, while working closely with engineering teams to deliver real business impact?
This role sits within a large-scale enterprise data and analytics function withing the Energy space, focused on building a portfolio of data products that drive smarter decision-making across the organisation.The team is highly data-driven and is now expanding into AI and GenAI use cases, including chatbot-style solutions, making this a good fit for someone who can operate across both traditional data platforms and emerging AI capabilities.
Your Role as a Data Product Manager:You will operate at the intersection of product management, delivery, and portfolio oversight -owning the lifecycle of data and AI products from definition through to execution.You'll typically oversee 2-3 data or AI initiatives at a time, ranging from AWS-based data platforms to real-time analytics dashboards and AI-driven solutions.
Define and drive the vision, roadmap, and strategy for data and AI productsIdentify opportunities for new products, features, and improvements through stakeholder engagement and analysisWork closely with engineers, architects, and data teams to deliver scalable solutions on AWSOversee delivery of data platforms, pipelines, dashboards, and AI/GenAI use cases (including chatbot-style applications)Monitor product performance and iterate based on feedback and usage
Strong experience as a Data Product Manager or in a similar hybrid product/delivery roleProven experience working with AWS-based data platforms (data pipelines, analytics, dashboards)Strong understanding of data engineering and analytics conceptsExperience managing multiple projects concurrentlyFamiliarity with agile tools and practices (JIRA, backlog management, roadmap planning)
Fully remote, b2b/freelance contractsOpportunity to work on large-scale data and AI transformation programmesAccess to a network of experienced data, AI, and engineering professionals across Europe
If you're comfortable owning data and AI products end-to-end and working across both technical and business teams to deliver results, we'd love to hear from you!