2 of 2 DemandTrendPermanent Product Lead Jobs in the South West

4AB GB Manchester - Manchester, M2 7FL GB Reading - Reading, GB-RDG RG1 1LX GB Travel Job Type Full Time Category Other Job Description Analysis and AI Product Lead Nationwide (Bristol preferred) About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built … early-stage design analysis much faster than traditional methods • SAM (Sustainability Analytical Model): A toolset for rapidly creating simulation models and outputs We are seeking a Product Lead for Analysis and AI with a broad background in ML, AI, simulation, analysis, data science and research. Bringing your experience with computation and machine learning in the field of … features. Your work will be integral to creating an ecosystem that harnesses the full range of specialist expertise within Hoare Lea. Collaborating with the Director for AI, you will lead the firm's efforts to harness Machine Learning and AI to deliver advancements in computation and engineering. Leading the research of generative AI advancements with the wider Digital team More ❯

an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director … solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership to data engineers and DevOps engineers across growth product teams. Act as a thought partner in the design, implementation, and evolution of scalable data platforms and assets. Champion best practices in data engineering and foster a collaborative, innovative … and high-performance culture across teams. Engineering Standards and Frameworks: Define, maintain, and evolve data engineering standards, patterns, and frameworks that product teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive More ❯