Product Lead - Data & Analytics
Insight
Newbury, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 63KJob location
Newbury, United Kingdom
Tech stack
Agile Methodologies
Confluence
JIRA
Azure
Business Intelligence
Collaborative Software
Data Governance
Data Systems
Data Warehousing
Python
Scrum
Power BI
Scaled Agile Framework
SQL Databases
Tableau
Azure
Snowflake
Data Analytics
QlikView
Data Delivery
Databricks
Job description
Own and manage the full product lifecycle for data and analytics products within a major UK telecommunications company.
- Define, maintain, and communicate product strategy and roadmaps aligned to business priorities.
- Translate business objectives into scalable data products, actionable insights, and reporting solutions.
- Drive product vision, prioritization, and value delivery across multiple stakeholder groups.
- Act as the primary liaison between business stakeholders and technical/data delivery teams.
- Gather, challenge, and refine requirements through workshops and effective stakeholder engagement.
- Manage product backlogs, user stories, and sprint planning in Agile environments.
- Lead backlog refinement, delivery governance, and ensure adoption of Agile best practices.
- Collaborate with Data Engineers, BI Developers, and Analysts to deliver high-quality data solutions.
- Ensure products meet business, technical, and data governance standards, supporting validation and QA processes.
- Promote the use of reusable, governed, and scalable data and analytics solutions.
- Utilize platforms such as Databricks, Snowflake, Azure Data Platform, and BI tools like Power BI, Tableau, and Qlik.
- Use delivery and collaboration tools like Jira, Azure DevOps, and Confluence.
- Apply strong analytical, problem-solving, and stakeholder management skills to coordinate cross-functional teams.
- Leverage experience in SQL, data warehousing, data modelling, and reporting governance.
- Preferred: Experience with Python, SAFe Agile, and data product management frameworks.
Requirements
Qualifications: Degree or equivalent, with SAFe, Scrum, Agile, or Data & Analytics/Product Management certifications preferred.