Senior Consultant, Data Modeling & Ontology

Infinitive • McLean, VA

17h

About The Position

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” We are seeking a high-energy, hands-on Senior Consultant to drive the semantic evolution of our clients card data ecosystem. In this role, you won't just be drawing boxes and lines; you will be the bridge between abstract business intent and concrete data architecture. As a lead practitioner, you will be responsible for defining standardized attributes across approximately 20 cross-functional teams. Your goal is to ensure that our clients card data products speak a universal language, reducing friction and unlocking insights across the enterprise. We are looking for someone who: Thrives in the "gray area" of definitions and can drive a group toward a "gold standard." Is comfortable being hands-on with the tools while simultaneously managing high-level stakeholder expectations. Can ramp up immediately, bringing a proactive approach to a fast-paced environment.

Requirements

• Ontology & Semantic Modeling: Proven experience building and implementing formal ontologies and semantic frameworks.
• Metadata Mastery: Expertise in metadata standardization and the creation of enterprise-level data dictionaries.
• ERD Proficiency: Advanced skills in Entity-Relationship Diagramming and logical data modeling.
• Superior Communication: The ability to explain complex technical concepts to non-technical stakeholders and lead large-group facilitation with diplomacy and clarity.

Responsibilities

• Semantic Architecture: Translate complex business requirements into robust semantic definitions, ontologies, and metadata structures.
• Data Standardization: Lead the effort to define and govern standardized attributes for card data products to ensure consistency and interoperability.
• Relationship Modeling: Design and maintain high-quality Entity-Relationship Diagrams (ERDs) that reflect the reality of our data landscape.
• Cross-Team Orchestration: Act as the primary liaison across ~20 different teams, facilitating alignment discussions to reach consensus on data definitions and standards.
• Immediate Impact: Rapidly onboard and apply ontology best practices to active workstreams, providing immediate value to the data modeling lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed