Data Modeler

Core Role Requirements

• Proven expertise in data modeling encompassing conceptual, logical, and physical models, with a robust grasp of Enterprise Data Models (EDM).
• Ability to mentor and elevate fellow data modelers through implementation of standards, conducting reviews, providing training, and offering hands-on support.
• Experience in establishing and enforcing data modeling standards, conventions, and governance consistent with established frameworks such as DAMA DMBOK.
• Proficiency with enterprise data modeling tools like PowerDesigner, either as a user or administrator.
• Strong consultancy and stakeholder engagement skills, capable of collaborating with both business and technical teams to convert requirements into effective modeling strategies and tailored model designs.
• Skilled in conducting presentations, facilitation sessions, and training aimed at raising organizational proficiency in data modeling.
• Understanding of dimensional modeling and Kimball methodologies including fact and dimension design, conformed dimensions, and slowly changing dimensions.
• Knowledgeable about semantic models, ontologies, and knowledge graphs.
• Familiar with broader data management disciplines such as metadata management, data quality, governance, and business glossary management.
• Capable of directly developing data models in response to client demands, prioritized initiatives, or specialty needs.

Communication and Leadership Skills

• Excellent written and oral communication skills with an ability to convey complex data concepts to both technical and non-technical audiences.
• Experience in delivering presentations, workshops, and training sessions to enhance data literacy and modeling competency.
• Proven stakeholder management capabilities, adept at cultivating productive relationships across business and technical divisions.
• Ability to function independently or as part of multidisciplinary teams, balancing enterprise standards against product and delivery objectives.

Preferred Qualifications and Experience

• A degree in Computer Science, Information Management, Data Science, or a related field, or equivalent industry experience.
• Certifications or training related to DAMA DMBOK, data management, or data architecture.
• Experience with integrating data models with master data management (MDM), reference data, and data quality platforms.
• Exposure to AI/ML applications and comprehension of the impact of model design on feature engineering, semantic enrichment, and data product development.