Skip to main content

Senior Product Manager - Analytics Capabilities

Posted: 4 Jan 2021 Closes: 29 Jan 2021
Farringdon, United Kingdom Competitive
Permanent & Full-time TSC_596929

About the role

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role's key responsibilities and measures:

  • Formulate the vision, strategy and roadmap for building analytics capabilities across the data & analytics portfolio, and work with others in aligning the strategic priorities, dependencies and roadmap across the data & analytics product portfolio.
  • Plan and co-ordinate BI product efforts that have dependencies on multiple product and engineering teams.
  • Lead discovery work around a minimum viable product (MVP) for any new BI product, collaborating with user experience (UX) and engineering teams to prototype and validate a MVP.
  • Ensuring data quality and integrity by working with the data supply and demand team.
  • Help the team in breaking down a complex piece of work/ epic into smaller, deliverable chunks of value that can be delivered faster.
  • Provide leadership and direction to cross functional team(s) on short-term tasks/near-term priorities.
  • Manage a team of BI product managers (2 direct reports).
  • Empower teams across Tesco to use BI environment to get the most of performance reviews and business insights.

You will need

Experience relevant for this job:

  • Technically competent to influence and understand the BI solution context & approach and aid engineering in estimating the complexity of work being requested.
  • Understand & specify non-functional requirements for BI products (Performance/ Security etc.) and collaborate with engineering to ensure those are met.
  • Understands engineering and infrastructure best practices and practicalities to help resolve delivery challenges.
  • Knowledge of using MI/BI systems and databases such as Teradata, Hadoop and other SQL or NoSQL technologies.
  • Knowledge of using business intelligence and visualisation tools such as Tableau and MSKT.
  • Expertise in the use of Tools & Techniques for Backlog prioritisation, managing dependencies and for gaining insights using available data points.
  • Highly numerate with a university degree of 2:1 or higher in a quantitative discipline or relevant experience.
  • Broad knowledge and understanding of the technologies relevant to data platforms.
  • Experience creating outputs for both technical and non-technical audiences.


Share Job