Lead Data Modeller

Lead Data Modeller

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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? xwzovoh

• 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.