As the Product Manager for Personalised rewards, you will guide core Machine Learning/AI and Data Science capabilities from creation through to execution. You will focus on building data driven features at scale providing relevant and personalised rewards to our customers, impacting core business and customers metrics.
You will be part of the Discovery & Personalisation product team, responsible for managing the product vision, strategy and development for a key personalised reward proposition and associated customer experiences that are key to solving problems related to how we grow the loyalty of our customers, whilst balancing the needs of the business and our suppliers.
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day (plus Bank holidays)
- Private medical insurance
- 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
· Defining and building high-scale, low latency personalisation service, including definition and tuning of algorithmic parameters to drive best customer and business outcomes
· A skilled practitioner of Product Management, you will own, manage and prioritise a quantitative focused backlog to deliver meaningful improvements across a wide range of Tesco customer touchpoints, using agreed OKR’s and KPI’s for coverage, relevance and performance
· Leading the development plans: contributing towards the overall personalisation strategy, defining and prioritising business needs and working with the different business units to ensure their plans are integrated.
· Work with other Product Managers, stakeholders, Data Science and the Engineering teams to deliver the personalisation roadmap using agile methodologies: prioritising requirements, answering development questions and resolving issues, always putting the customer first.
- Knowledge of Agile methodologies, writing effective user stories & acceptance criteria
- Understanding of User Research/ Design Thinking concepts
- Understanding of data science concepts and Machine Learning models
- Strong decision making and prioritisation skills, especially when multiple trade-offs are involved