Manager, Data Modeling

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. Show more Show less

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.

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.