Role: Senior AI Product Manager Salary: £70,000 - £100,000 Location: Bristol HQ - 2 days p/wThis role will ensure our client achieve a set of agreed outcomes across a substantial program of work, by creating and then delivering a roadmap with a continuous focus on quality, pace and the accurate measurement of impact. The role will focus will on optimising field services using cutting-edge predictive and prescriptive AI models, Data Science and Machine Learning to improve operational efficiency, reduce costs, and enhance customer satisfaction through "right first time" service delivery.Experience Required:Proven experience as a Product Manager in a technical or data-driven environment.Strong understanding of AI, Data Science, and Machine Learning applications.Exceptional communication, stakeholder management, and organisational skills. Able to convey ideas and technical content to different stakeholders, from engineers to senior executives.Experience with Agile methodologies and managing cross-functional teams.Familiarity with logistics or fleet management data is an advantage.Experience of owning a complex data science / Gen AI problem from ideas and discovery through to prioritisation, definition, delivery and post launch evaluation. Demonstrating sound decision making at each stageData Proficiency and Collaboration: Skilled in analysing raw data and using SQL and other data tools to visualise insights; effectively translates complex data needs into clear requirements for data science/Gen AI teams and actionable recommendations for stakeholders.Sufficient understanding of software development, data science and GenAI processes and design principles to be able to communicate and collaborate effectively with technical team; and to assess the implications of technical decisions on the product strategy and user experience.Track record of defining and delivering great analytical outcomes leading to commercial outcomes – and adept at balancing the two.Responsibilities:Define the project vision, goals, and roadmap, ensuring alignment with organisational objectives.Gather requirements from stakeholders, including operational teams and leadership, and translate them into actionable deliverables.Prioritise features and tasks based on business value, technical feasibility, and timelines.Collaborate with the team of Data Scientists and Engineers to develop innovative solutions for deployment optimisation.Partner with internal teams to ensure smooth integration of project into existing systems and business processes.Monitor project progress, manage risks, and address roadblocks to ensure timely delivery.Define success metrics and KPIs for AI initiatives and monitor their performance post-launch.Drive continuous improvement by incorporating feedback and analysing results.Communicate project updates, insights, and progress to stakeholders.