Job Purpose:
The Data Modeling Manager is responsible for leading the design, development, governance, and continuous improvement of enterprise data models to support business intelligence, analytics, reporting, and data-driven decision-making. The role works closely with business stakeholders, data architects, engineers, and analytics teams to ensure data is structured, integrated, governed, and optimized according to business and technical requirements.
Key Responsibilities:
- Lead and manage the development of conceptual, logical, and physical data models across the organization.
- Define and maintain data modeling standards, methodologies, naming conventions, and best practices.
- Collaborate with business stakeholders to understand business requirements and translate them into effective data models.
- Design scalable and high-quality data structures for data warehouses, data lakes, and analytical platforms.
- Ensure data models support business intelligence, reporting, analytics, and operational requirements.
- Review and approve data models developed by data architects, analysts, and engineers.
- Establish data relationships, entities, attributes, keys, hierarchies, and business rules.
- Ensure alignment between data models, enterprise architecture, data governance, and information management strategies.
- Identify opportunities to simplify, optimize, and improve existing data models and data structures.
- Work closely with Data Engineering teams to ensure the successful implementation of data models.
- Support data governance initiatives by ensuring consistency, accuracy, integrity, and traceability of data.
- Maintain comprehensive documentation of data models, definitions, metadata, and data lineage.
- Lead data modeling projects and manage priorities, timelines, resources, and deliverables.
- Provide technical leadership and mentorship to data modeling and data architecture teams.
- Evaluate new data modeling approaches, technologies, and industry best practices.
- Ensure data models comply with organizational policies, security requirements, and applicable regulatory standards.
Required Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
- 10+ years of experience in data modeling, data architecture, data warehousing, or a related field.
- Strong experience with conceptual, logical, and physical data modeling.
- Hands-on experience with relational databases, data warehouses, and analytical data platforms.
- Strong understanding of data architecture, ETL/ELT processes, data integration, and data governance.
- Experience with data modeling tools such as ER/Studio, SAP PowerDesigner, or similar platforms.
- Ability to translate complex business requirements into scalable data solutions.
