Principal Data and AI Architect

MSIG USA continues to grow!  Company Overview: MSIG USA is the US-based subsidiary of  MS&AD Insurance Group Holdings, Inc. , one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks. Position Overview We are seeking a seasoned  Enterprise Data & AI Architect  at the Lead/Principal level to serve as the technical authority and strategic design leader for MSIG USA's enterprise data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization. You will be responsible for defining the  overarching architecture  across our data platforms, AI/ML systems, data governance frameworks, and integration patterns — ensuring they are cohesive, scalable, secure, and aligned with our P&C insurance business strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the CDAO, technology leadership, and business domain leaders across Underwriting, Claims, Actuarial, Finance, and Reinsurance. This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges. Key Responsibilities Enterprise Architecture Strategy & Vision Define and own the  enterprise data and AI architecture blueprint  for MSIG USA, covering data ingestion, storage, transformation, serving, governance, and AI/ML deployment. Establish the  target state architecture  across cloud platforms, data products, AI systems, and integration patterns — with a clear, pragmatic roadmap from current to future state. Lead  architecture governance  — chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI/ML, and analytics teams. Translate MSIG USA's business strategy and regulatory obligations into  concrete, actionable architectural decisions  with well-documented tradeoffs. Serve as the primary  technical liaison  between the CDAO, IT leadership, and enterprise architecture functions across MS&AD Insurance Group. Data Platform Architecture Architect and evolve MSIG USA's  hybrid data platform  built on  Microsoft Fabric, Databricks, and Azure Data Lake (OneLake)  — ensuring the platform supports batch, streaming, and real-time data workloads across all insurance domains. Design the  Medallion (Bronze/Silver/Gold) architecture  and enforce lakehouse best practices including Delta Lake, Unity Catalog, and data product publishing patterns aligned to  Data Mesh  principles. Define  data modeling standards  across entity types — Policy, Customer/Party, Claims, Exposure, Premium, Loss, and Reinsurance — ensuring consistency across the enterprise. Oversee the architecture of the  Master Data Management (MDM) platform  (Profisee) and its integration with upstream policy systems, downstream analytics, and the data lakehouse. Design enterprise  data integration patterns  — API-first, event-driven, and ETL/ELT architectures — connecting policy administration systems, claims platforms, financial systems, and external data providers to the central data platform. Ensure platform architecture meets  high availability, disaster recovery, scalability, and cost efficiency  requirements for a regulated insurance environment. AI & Machine Learning Architecture Define the  enterprise AI/ML architecture  — spanning model development, training, deployment, monitoring, and governance — built on  Databricks Mosaic AI, Azure Machine Learning, and Azure OpenAI . Architect the  MLOps platform  including CI/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving. Design  Generative AI and LLM architectures  — including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails — for insurance use cases across underwriting, claims, and actuarial functions. Establish  AI governance and model risk management frameworks  ensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations. Evaluate and recommend  foundational models, AI platforms, and emerging technologies  — maintaining an architectural view of the evolving AI landscape and its applicability to P&C insurance. Data Governance & Security Architecture Design the enterprise  data governance architecture  in partnership with the Data Governance function — covering data cataloging, lineage, classification, quality, and stewardship workflows using  Microsoft Purview . Define  data access control and security architecture  — including role-based access control (RBAC), column/row-level security, data masking, and encryption standards across all platform layers. Ensure architecture adherence to  regulatory and compliance requirements  including NAIC, SOC 2, CCPA, and GDPR as applicable to insurance data. Architect  data lineage and audit trails  to support actuarial certification, financial audit readiness, and regulatory examination requirements. Engineering Standards, Patterns & Enablement Define and maintain the  enterprise data and AI engineering standards  — including coding standards, design patterns, testing frameworks, CI/CD practices, and documentation requirements. Create and curate a  reference architecture library  of reusable patterns for ingestion, transformation, serving, AI deployment, and integration — reducing duplication and accelerating delivery across domain teams. Conduct  architecture reviews and design critiques  for major init