Principal Data and AI Architect

Mitsui Sumitomo Insurance Group; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

Mitsui Sumitomo Insurance Group in the United States is seeking an experienced Enterprise Data & AI Architect to lead the design and implementation of their enterprise data platform and AI ecosystem. The role demands a strong background in data architecture, AI/ML systems, and governance, alongside proven leadership abilities to guide technical teams. The ideal candidate will help shape the overall architecture strategy, ensuring robust and scalable solutions that align with business goals.

Qualifications

• 8-12 years of experience in data architecture and engineering.
• 5+ years in a senior architect capacity.
• Experience designing enterprise-scale data platforms in cloud environments.

Responsibilities

• Define and own the enterprise data and AI architecture blueprint.
• Lead architecture governance and establish engineering standards.
• Serve as technical liaison between CDAO and IT leadership.

Skills

Data architecture

AI/ML systems

Microsoft Azure

Data governance

Education

Bachelor’s degree in computer science or related field

Master's degree

Tools

Databricks

Azure Data Lake

Microsoft Purview

Job description

MSIG USA continues to grow!**Company Overview:**is the US-based subsidiary of , 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 initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.* Mentor and coach senior data engineers, ML engineers, and domain architects — elevating the overall technical quality and architectural thinking across the team.* Stay current with the **evolving data and AI technology landscape** and bring forward well-reasoned recommendations for platform evolution.**Cross-Functional Leadership & Stakeholder Engagement*** Partner with **Underwriting, Claims, Actuarial, Finance, and Reinsurance** business leaders to understand domain data needs and translate them into durable architectural solutions.* Collaborate with **IT, Enterprise Architecture, Information Security, and Vendor Management** to ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy.* Represent data and AI architecture in **vendor evaluations, RFPs, and technology due diligence** — providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.* Produce executive-ready **architecture documentation, roadmaps, and position papers** for CDAO and senior leadership consumption.**Required Qualifications****Education*** Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree strongly preferred.**Experience*** **8–12 years** of progressive experience in data architecture, data engineering, or enterprise architecture roles — with at least **5 years in a senior or lead architect capacity**.* Demonstrated experience designing and delivering **enterprise-scale data platforms** in cloud environments, with a strong preference for **Microsoft Azure and Databricks**.* Proven track record of architecting **production AI/ML systems** including MLOps pipelines, LLM-powered applications, and agentic frameworks.* Significant experience in **financial