Role: Senior AI Product Manager
Salary: £70,000 - £100,000
Location: Bristol HQ - 2 days p/w
This 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 stage
*Data 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.
Please contact Lewis Tilley on Linkedin to find out more!
https://in/lewis-t-5a60b5133?lipi=urn:li:page:d_flagship3_profile_view_base_contact_details;2r/XPloBRP2wtx3t2uBcjQ==