Job Title: Lead Data Modeller

Reports To: Enterprise Data Group

Job Overview:

The Lead Data Modeller is responsible for leading a team of data modelers in designing, implementing, and maintaining enterprise-wide data models that support the organization’s data strategy. This role ensures that data models are structured optimally for storage, retrieval, and analytics while aligning with governance policies and business objectives. The Lead Data Modeller provides technical leadership, oversees modeling standards, and collaborates across data, engineering, and business teams to drive data consistency and quality.

Responsibilities:

• Team Leadership & Management:
• Lead, mentor, and develop a team of data modelers, ensuring high performance and continuous skill development.
• Manage workloads, priorities, and deliverables for the team, ensuring alignment with business goals.
• Establish best practices, frameworks, and processes for data modeling across the organization.
• Data Modeling & Design:
• Oversee the development of conceptual, logical, and physical data models to support business and technical requirements.
• Ensure data entities, attributes, relationships, and constraints are well-defined and consistently maintained.
• Standardize modeling approaches for relational (OLTP), dimensional (OLAP), and NoSQL databases.

Collaboration & Stakeholder Engagement:

• Work closely with Data Architects, Data Engineers, and Business Analysts to ensure data models meet business needs.
• Engage with business leaders and product owners to translate requirements into scalable data structures.
• Collaborate with governance teams to enforce data standards, metadata management, and compliance.

Governance & Quality Assurance:

• Ensure adherence to enterprise data governance policies, including naming conventions, data definitions, and documentation standards.
• Partner with Data Stewards to maintain data consistency and improve data quality.
• Maintain data dictionaries, lineage tracking, and metadata repositories.
• Optimization & Performance:
• Guide the team in optimizing queries, indexing strategies, and data structures for performance and scalability.
• Support data warehousing, reporting, and advanced analytics use cases, including AI/ML.
• Drive the adoption of modern modeling techniques such as Data Vault, star/snowflake schema, and normalization/denormalization strategies.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 7+ years of experience in data modeling, with at least 3 years in a leadership role.
• Expertise in relational (OLTP), dimensional (OLAP), and NoSQL data modeling.
• Strong SQL and data analysis skills, with experience in query performance tuning.
• Deep understanding of data governance, metadata management, and enterprise data management principles.
• Excellent communication, stakeholder management, and team leadership skills.
• Ability to translate business needs into scalable and efficient data models.
• Experience working in a structured environment with Agile and DevOps methodologies.
• Experience in various Data Modelling techniques and strategies to serve various scenarios and use cases.

Preferred Skills:

• Experience with Snowflake and cloud-based data warehousing solutions.
• Knowledge of finance or banking data models and regulatory requirements.
• Familiarity with data lineage, business glossaries, and data dictionaries.
• Experience in managing data modeling tools and repository solutions.
• Strong ability to work across business and technical teams to drive data initiatives.

Please refer to job description.