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Senior Product Manager - Analytics Capabilities
Job Reference tesco/TP/6301980/596929
This job has been closed.
Number of Positions:
1
Contract Type:
Permanent
Salary:
Competitive
Working Hours:
36
Location:
Farringdon
Closing Date:
26/02/2021
Job Category:
Product Management
Business Unit:
GB Head Office
About the role
|
As a Senior Product Manager, you are accountable for developing business intelligence (BI) products, ensuring effective reporting through analytics platforms and contributing to data driven decision making across the broader Tesco business. |
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.