Head of Product / Product Lead / Senior Product Manager / AI Product Manager /

Role purpose:

This role will ensure we 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 our business and service operations using cutting-edge predictive and prescriptive AI models, Data Science and Machine Learning to improve operational efficiency, reduce costs, and enhance customer satisfaction.

The role:

• Define the product vision, goals, and roadmap, ensuring alignment with organisational objectives in line with the AI Strategy.
• 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.

Experience / Skills:

• Proven experience as a Product Manager / Leader 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.
• 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.