2 of 2 Product Requirements Jobs in Oxfordshire

Agriculture Data Product Manager Job Description: - Own the full lifecycle of data products, from strategy and roadmap to delivery, adoption, and continuous optimisation - Collaborate with stakeholders to define product requirements and priorities - Work closely with data engineers, analysts, and developers to deliver scalable solutions using SQL Server, Power BI, and AWS cloud services - Apply Operational Research (ORR … techniques and data modelling to guide product strategy and decision-making - Ensure data governance, compliance, and security standards are upheld - Monitor and report on product performance, driving improvements in user experience and value - Identify opportunities for innovation and new product development Company Overview: A leading digital solutions provider is transforming traditional industries through data and technology. By … combining innovation, science, and sector expertise, they deliver data-driven tools that support sustainable, profitable, and efficient practices across the supply chain. Candidate Requirements: - Proven experience as a Product Manager or Data Product Manager in a data or technology-focused business - Technical expertise with SQL Server, Power BI, and AWS (cloud/data services) - Experience applying Operational More ❯

and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various … working in an engaged and excited cross functional team bringing together disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development … timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment More ❯