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Lead Product Manager - Analytics Capabilites
Job Reference tesco/TP/6301980/593132
This job has been closed.
About the role
The Role
As a Lead Product Manager, you are accountable for developing analytics 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 analytics product efforts that have dependencies on multiple Product and Engineering teams.
- Lead discovery work around a minimum viable product (MVP) for any new analytics 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 Analytics Product Managers (3 direct reports).
- Empower teams across Tesco to use business intelligence 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 business intelligence solution context & approach and aid engineering in estimating the complexity of work being requested.
- Understand & specify non-functional requirements for analytics 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 MicroStrategy.
- 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.
Skills relevant for the job:
- Excellent written and verbal communication skills
- A methodical/ analytical approach and great problem-solving skills
- Attitude and the aptitude to learn new product area/domain quickly
- Great presentation and persuasion skills
- Team player who could work collaboratively with other members of the team