Lead Data Modeller
Location: London (1/2 days per week)
Salary £110-120K
Own the rebuild of a modern data platform from the ground up.
We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cloud-first architecture
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.
Key Responsibilities
- 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
Skills & Experience
- 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
Why Apply?
- Opportunity to define and shape the organisation’s data foundation
- High-impact role working across multiple business areas
- Blend of technical, strategic, and leadership responsibilities
- Collaborative and forward-thinking data environment
Want to know more? Apply now.