Regulatory Data Architect for AI & Data Governance

Omegahires; Raritan (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

Omegahires is seeking a senior data architect to partner with Regulatory subject matter experts and engineering teams to design scalable data architectures that support Regulatory Strategy and Intelligence.

The role focuses on developing data models, governance frameworks, and interoperability with enterprise data platforms, enabling data-driven decisions and value realization across R&D and regulatory domains.

Qualifications

• BA/BS degree in a technical, engineering or scientific field.
• Experience with Snowflake and Denodo preferred.
• AWS Well-Architected Framework certification preferred.
• AWS Certified Machine Learning Specialty certification preferred.

Responsibilities

• Design scalable regulatory data architectures in collaboration with stakeholders.
• Develop data architecture artifacts: Data Flow Diagrams, ER Diagrams, data integration artifacts.
• Align Regulatory data products with Regulatory, R&D, and Enterprise data strategies.
• Drive data quality, standardization, interoperability across domains.
• Collaborate with business to translate data needs into architecture.
• Coach the Regulatory Data Office and teams on governance and data integration practices.
• Identify opportunities to leverage regulatory data for competitive advantage.
• 2+ years developing content vectorization and graph/RAG strategies for generative AI initiatives.

Skills

Data architecture

Data governance

Data quality

Data integration

Ontology management

Graph databases

Generative AI

Regulatory data

Education

BA/BS in technical, engineering or scientific field

AWS Well-Architected certification

AWS Certified Machine Learning Specialty

Tools

Snowflake

Denodo

AWS

Job description

Omegahires is seeking a senior data architect to partner with Regulatory subject matter experts and engineering teams to design scalable data architectures that support Regulatory Strategy and Intelligence.

The role focuses on developing data models, governance frameworks, and interoperability with enterprise data platforms, enabling data-driven decisions and value realization across R&D and regulatory domains.