Data Architect - Insurance Portfolio Company

BCG X - Talent Architecture - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

About the position

The Data Architect position at an insurance portfolio company involves leading the development of data architecture and ontology frameworks to support innovative Generative AI initiatives. This role is critical in shaping how data is modeled, integrated, and governed across the organization, ensuring robust, scalable, and future-proof data systems. The Data Architect will collaborate with various teams to enhance business applications and drive high-impact outcomes in the insurance industry.

Responsibilities

• Creating and managing data models and ontologies for large-scale business applications across multiple geographies.
• Leading the design and integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards.
• Documenting and continuously improving data architecture systems, while educating teams on data governance standards and best practices.
• Collaborating with product owners, engineers, and the Data Governance team to ensure high data quality, security, and privacy compliance across business applications.
• Monitoring market and industry trends in data architecture and applying them to enhance information lifecycle management and data integration processes.

Requirements

• Expertise in creating data models and a proven track record of modeling and contributing to the data architecture strategy at an enterprise level.
• Experience with best practices in data governance, security, and privacy in modeling and architecture.
• Strong knowledge of data technologies, data modeling, and data integration.
• Experience with master and reference data management.
• Experience across sub-functional data domain areas such as reporting, analysis, conceptualization, and design of data assets across warehouses and marts.
• Passion for using the latest technology for data innovation, including AI and LLM integration.
• Experience (or certification) with data modeling tools, ETL tools, Snowflake, Dimensional Modeling, Data Vault modeling, ER modeling.
• Experience (or certification) with NoSQL databases like MongoDB, and experience with XML/JSON.
• Strong SQL skills.
• Experience with Data Analysis and Data profiling.
• Strong communication skills - verbal and written.
• AGILE/Rally development experience or training required.
• Experience with (or strong enthusiasm about) AI-driven solutions.

Nice-to-haves

• Experience in Data Warehousing.
• Experience using the Snowflake platform.
• Good understanding of ontologies.
• Experience with Palantir Foundry or similar tool is highly desired.
• Experience in insurance or financial services.

Benefits

• Health insurance