2 of 2 Data Strategy Jobs in Bath

Sr. Director/VP, Data & AI Strategy Department: Technology & Product Employment Type: Permanent Location: Bath, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices. This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence … insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse/Warehouse as a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and More ❯

Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role The Data Squad engineering manager's purpose is to lead and empower a high-performing team of data engineers to deliver scalable, reliable, and secure data capabilities. This role … is central to enabling internal and external data products, supporting business insights, and developing a modern data platform. The role will work closely with Product, Engineering, and Data Operations to align delivery with business outcomes, support the team's growth, and help shape our overall data strategy. On a typical day you will Guide and mentor … a team of data engineers, fostering their professional growth and ensuring high performance.Setting clear, measurable goals with regular performance reviews, development plans, and recognition. Collaborate with product managers and engineering leaders to define priorities and align data initiatives with business goals. Provide technical guidance and architectural oversight across the data platform, including data pipelines, orchestration and More ❯