Data Architect, Regulatory Strategy

Job Title: Data Architect, Regulatory Strategy

Location: Raritan, NJ

Job Summary

STAFFXPERT LLC is seeking a Data Architect, Regulatory Strategy on behalf of our client in Raritan, NJ to design scalable, extensible, and supportable data architectures supporting Regulatory Strategy and Intelligence. This role will collaborate with Regulatory SMEs, Data Sciences, Technology Services, product teams, and enterprise architects to drive data quality, governance, integration, and interoperability.

Key Responsibilities

• Design data architectures aligned with Regulatory, R&D, and enterprise data strategies.

• Develop Data Flow Diagrams, Entity Relationship Diagrams, data models, and integration artifacts.

• Develop and maintain conceptual, logical, and physical data models.

• Support data governance frameworks covering master data, reference data, and critical data elements.

• Drive data quality, standardization, interoperability, and product master data alignment.

• Support ontology management, semantic layers, graph/RAG, cataloging, and data contextualization initiatives.

• Translate business data requirements into functional and technical architecture.

• Collaborate with business and technical stakeholders across multiple teams.

• Identify opportunities to leverage Regulatory data to improve business capabilities.

• Support Generative AI initiatives, including content vectorization and graph/RAG strategies.

• Provide guidance and coaching on data governance, data quality, and data integration practices.

Required Qualifications

• Bachelor's degree in a technical, engineering, or scientific discipline.

• Strong experience in data architecture, data governance, data integration, and data quality .

• Experience developing conceptual, logical, and physical data models.

• Strong understanding of data architecture artifacts and integration patterns.

• Experience collaborating with business and technical stakeholders.

• Experience with cloud data platforms, particularly AWS or equivalent cloud technologies.

• Experience with Generative AI, vectorization, graph/RAG, or semantic data solutions .

• Strong communication, collaboration, and decision-making skills.

Preferred Qualifications

• Experience with Snowflake and Denodo .

• AWS Data Engineer Certification or equivalent Azure/GCP certification.

• AWS Well-Architected Framework certification.

• AWS Certified Machine Learning Specialty certification.

• Experience in pharmaceutical, healthcare, Regulatory, or R&D environments .

• Experience with ontology management, product master data, and data cataloging.