Product Lead - Data & Analytics
Insight
Newbury, United Kingdom
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 86KJob location
Newbury, United Kingdom
Tech stack
Agile Methodologies
Business Analytics Applications
Data analysis
Confluence
JIRA
Azure
Business Intelligence
Collaborative Software
Data Validation
Data Governance
Data Systems
Data Warehousing
Python
MicroStrategy
Scrum
Power BI
SQL Databases
Tableau
Teradata
Azure
Snowflake
Data Analytics
QlikView
Databricks
Job description
Lead Product Lifecycle: Own the end-to-end lifecycle of data and analytics products, from ideation to delivery.
- Strategy & Roadmap: Define and maintain product roadmaps aligned with business priorities and strategic objectives.
- Stakeholder Management: Act as the primary liaison between business stakeholders (Commercial, Consumer, Finance, Technology, Marketing, Analytics) and delivery teams.
- Requirements Gathering: Facilitate workshops, gather and refine business requirements, and translate them into actionable product features.
- Agile Delivery: Manage product backlogs, prioritise requirements based on business value, and oversee Agile ceremonies (backlog refinement, sprint planning, delivery governance).
- Collaboration: Work closely with Data Engineers, BI Developers, Analysts, Architects, and offshore partners to ensure successful delivery.
- Quality Assurance: Support data validation, testing, and user acceptance processes to ensure data products meet business and technical standards.
- Promote Best Practices: Advocate for scalable, governed, and reusable data solutions.
- Technical Oversight: Ensure products meet data governance, quality, and security standards.
- Continuous Improvement: Identify opportunities to enhance reporting, analytics capabilities, and business insights.
Requirements
5+ years in Product Owner/Manager/Lead or Data/Analytics Product Management roles.
- Proven track record delivering data, reporting, analytics, or BI products.
- Strong Agile delivery experience and backlog/roadmap management.
- Excellent stakeholder management and cross-functional team coordination skills.
- Ability to translate business needs into technical solutions.
- Strong analytical and problem-solving skills.
- Experience with data/analytics platforms (Databricks, Snowflake, Azure Data Platform, Teradata, SQL), BI tools (Power BI, MicroStrategy, Qlik, Tableau), and collaboration tools (Jira, Azure DevOps, Confluence).
- Data skills in SQL, data warehousing, data modelling, validation, and reporting governance.
Preferred:
- Degree or equivalent professional experience.
- Agile/Scrum/SAFe certifications (e.g., Certified SAFe Product Owner/Product Manager).
- Experience with Python and Data Product Management frameworks is a plus.