Data Product Manager

- Act as the technical thought leader for Dynamic Allocation Services (DAS), applying advanced mathematics and optimisation techniques to solve complex real-world allocation problems. - Design new algorithms and refine existing models to ensure DAS delivers accurate, scalable, and commercially valuable outcomes. - Own the definition and documentation of allocation logic, ensuring clarity for engineering teams and long-term maintainability. - Proactively identify opportunities for system enhancement, using operational data, simulations, and industry insight. - Define measurable KPIs to evaluate algorithm performance and the impact of incremental improvements. - Establish and maintain a structured cycle of experimentation, validation, and refinement. - Break down complex algorithmic concepts into clear requirements, specifications, and work packages for the engineering teams. - Collaborate closely with developers to ensure algorithms are implemented correctly, tested thoroughly, and deployed with confidence. - Support version control, testing strategies, and validation processes to maintain the technical integrity of DAS. - Work alongside the Innovation Product Manager to align technical development with functional roadmap and commercial objectives. - Communicate complex technical ideas to non-technical stakeholders clearly and pragmatically. - Provide expert guidance and thought leadership internally and externally, ensuring DAS remains at the forefront of decision-automation solutions. - Act as the product’s technical ambassador with customers, supporting onboarding and implementation. - Provide expert guidance on how DAS can address customer planning and analytical needs. - Collect and analyse customer feedback to inform technical priorities and product roadmap refinements.