Product Manager - Personalised Rewards

Posted 9 hours 19 minutes ago by WeAreTechWomen

Permanent
Full Time
Other
Hertfordshire, Welwyn Garden City, United Kingdom, AL7 1
Job Description
About the role

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 customer 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.

Responsibilities
  • 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 Engineering teams to deliver the personalisation roadmap using agile methodologies: prioritising requirements, answering development questions and resolving issues, always putting the customer first.
Qualifications & Skills
  • 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.
Equity, Diversity and Inclusion

We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process.