AI Data Analyst

We are looking for an AI Data Analyst experienced in Palantir Foundry, ontology modeling, data governance, and advanced SQL. The candidate will design, manage, and optimize ontology models while collaborating with business stakeholders, data engineers, product owners, and analytics teams to align business concepts with enterprise data governance standards.

• Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related field.
• 2+ years of experience in Data Governance, Data Modeling, or Data Stewardship.
• 2+ years of experience with Palantir Foundry.
• Experience supporting ontology-driven operational applications.
• Knowledge of manufacturing, supply chain, engineering, or automotive domains is preferred.

Desired Certifications

• Palantir Foundry Certification (preferred)
• DAMA CDMP (Certified Data Management Professional)
• Azure Data Engineer Associate
• AWS Data Analytics Specialty

Ontology Management:

• Design and maintain Foundry Ontology objects, links, actions, and business logic.
• Define semantic data models that accurately represent business processes and operational workflows.
• Establish ontology governance standards and best practices.

Data Governance & Quality:

• Ensure consistency, accuracy, and traceability of ontology objects.
• Monitor ontology health, lineage, and data quality metrics.
• Manage ontology versioning and change control processes.

Stakeholder Collaboration:

• Partner with business users to translate requirements into ontology models.
• Facilitate workshops to define entities, relationships, and business rules.
• Support the adoption of ontology-driven applications across business units.

Platform Administration:

• Configure Foundry Ontology Manager and related Foundry applications.
• Manage access controls, permissions, and stewardship workflows.
• Support deployment and continuous improvement initiatives.

Documentation & Training:

• Create ontology documentation, standards, and user guides.
• Train business users and technical teams on ontology concepts and usage.
• Maintain metadata and business glossary alignment.