Information Management Data Architect

RGA is a purpose‑driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, RGA focuses primarily on life‑and health‑related solutions. Responsibilities Platform Vision & Architecture: Define and champion the end‑to‑end architecture for the Databricks data science and AI platform across a global topology—ensuring scalability, security, cost efficiency, resilience, and compliance with regional data sovereignty laws. Establish reference architectures, patterns, and blueprints that encourage enterprise‑wide reuse and standardization. Governance & Compliance: Lead the design and adoption of Unity Catalog as the central governance plane—defining catalog hierarchies, fine‑grained (row/column) access, dynamic data masking, lineage, and classification. Partner with infrastructure, security, and compliance teams to enforce least‑privileged access, responsible AI, and regulatory requirements including data sovereignty across US, EMEA, and APAC. Interoperability & Data Integration: Architect robust, low‑duplication integration between Databricks and the enterprise data platform (Snowflake) using open formats such as Apache Iceberg and Unity Catalog federation. Enable seamless bi‑directional data access and feature sharing so teams can choose the right tool without paying a tax to deploy across environments. Data Science Enablement & Self‑Service: Partner directly with actuarial, data science, and analytics teams to understand their workflows and build frameworks, templates, IDE/notebook experiences, and documentation that let them independently develop, train, and deploy models and AI agents. ModelOps & Agent Operations: Mature the ModelOps strategy spanning model lifecycle, governance, versioning, and deployment at scale using MLflow, Model Serving, and the AI Agent Framework. Performance, Observability & FinOps: Optimize compute, clusters, and jobs (classic and serverless) for performance, reliability, and cost. Establish platform and solution‑level observability, tagging coverage, chargeback/showback, and self‑service cost and usage analytics so teams can consume responsibly with predictable spend. Consulting, Enablement & Innovation: Serve as a trusted advisor and enablement partner to data science and business teams—running discovery workshops, proofs‑of‑concept, and technology evaluations. Curate a community of practice, promote sanctioned patterns, and continuously bring contemporary Databricks best practices to complex data and AI challenges. Team Building & Mentorship: Mentor and upskill team members, promote knowledge sharing, and build high‑performing, cross‑functional teams focused on excellence in data and AI. Education Bachelor’s Degree in Arts/Sciences (BA/BS) Computer Science or equivalent education and experience – Required Work Experience 10+ years progressive experience in enterprise‑level IT functions – Required 7+ years experience in managing large enterprise data initiatives and teams – Required 5+ years architecting and operating enterprise‑grade data and AI/ML platforms, with hands‑on Databricks and Apache Spark experience on a major cloud (AWS preferred; Azure or GCP). – Required Skills and Abilities Modern Databricks Expertise – Deep knowledge of the Databricks Data Intelligence Platform—Unity Catalog, Delta Lake/Iceberg, Lakeflow/Delta Live Tables, MLflow, Model Serving, AI Agent Framework/Agent Bricks, Lakebase, and Genie—plus lakehouse architecture, ETL/ELT, and infrastructure‑as‑code (Terraform, Databricks Asset Bundles). – Required Data Science Enablement – Demonstrated success building self‑service platform capabilities and developer experiences that empower data science teams, along with a ModelOps track record covering lifecycle management, versioning, governance, and deployment automation. – Required Consulting & Communication – Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption. – Required Innovation & Initiative – Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations. – Required Thought Leadership – Ability to define and communicate architecture vision, roadmaps, and best practices to both technical and non‑technical audiences. – Preferred Continuous Improvement – Passion for learning, sharing knowledge, and staying ahead of industry trends in data and AI. – Preferred Platform‑as‑a‑Product Mindset – Passion for delivering frictionless, self‑service experiences and measurable business value—treating internal data science teams as customers and continuously improving their journey from prototype to production. – Preferred Interoperability Experience – Familiarity integrating Databricks with Snowflake and other engines via open standards (Apache Iceberg, Unity Catalog/Lakehouse federation) to minimize data duplication and governance gaps. – Preferred Availability for cross‑time‑zone meetings – Preferred Benefits Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range $126,710.00 - $188,840.00 Annual RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws. #J-18808-Ljbffr Reinsurance Group of America, Incorporated