Lead Data Modeller
Halian .
Charing Cross, 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
£ 120KJob location
Charing Cross, United Kingdom
Tech stack
Microsoft Excel
Artificial Intelligence
Data Architecture
Data Governance
Data Infrastructure
Data Structures
Dimensional Modeling
Power BI
Data Streaming
Cloud Platform System
Data Layers
Job description
We are seeking a Lead Data Modeller to define and manage the organisation's data structure and ensure consistency across reporting, analytics, and AI use cases.
This role is critical in establishing a single source of truth for key business metrics, working closely with data, technology, and business teams to ensure data is accurate, well-defined, and easy to use., * Design, develop, and maintain enterprise-wide data models (dimensional/star schemas)
- Establish and enforce consistent definitions for key metrics and entities
- Collaborate with analysts and BI teams to improve reporting accuracy and performance
- Lead data governance, including data cataloguing and documentation
- Map and analyse existing data flows to identify inconsistencies
- Facilitate workshops with stakeholders to align on KPIs and definitions
- Mentor and support data analysts and analytics engineers
- Work closely with data engineers and data scientists to support advanced analytics and AI initiatives
Requirements
- Proven experience in data modelling or data architecture (typically 5+ years)
- Strong expertise in dimensional modelling (e.g. Kimball methodology)
- Experience with modern data platforms and governance tools
- Advanced Power BI and Excel skills
- Experience building or managing semantic layers
- Strong stakeholder management and communication skills
- Experience mentoring or leading data professionals
Desirable
- Experience working in complex, multi-domain organisations
- Exposure to AI or data science use cases
- Familiarity with cloud-based data platforms