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MSIG USA

Commercial P&C insurance and risk management

Director of Data Analytics and Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeWarren, NJ, USAHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field is required.
  • At least 10 years of progressive experience in data engineering, analytics, or data platform roles, including at least 4 years in a people management and leadership capacity.
  • A proven track record of building and scaling data engineering teams in complex, multi-domain enterprise environments is required.
  • Demonstrated experience delivering production-grade data platforms on Microsoft Azure, with strong hands-on depth in Databricks and Microsoft Fabric, is required.
  • Significant experience in financial services, insurance, or regulated industries is required; P&C insurance experience is strongly preferred.
  • Experience leading BI and analytics delivery at enterprise scale, including Power BI semantic model governance and self-service analytics enablement, is required.

Responsibilities

  • Lead, manage, and grow a multidisciplinary team of data engineers, analytics engineers, and BI/reporting developers across MSIG USA's insurance domains.
  • Recruit talent, build an engineering culture, and develop career paths and growth frameworks for data engineering and analytics professionals.
  • Establish a data-as-a-product mindset, ensuring each data asset is owned, documented, reliable, and fit for purpose.
  • Set team goals, performance expectations, and OKRs; conduct regular performance reviews and provide ongoing coaching and feedback.
  • Foster engineering excellence, accountability, continuous improvement, and collaborative delivery.
  • Own the design, development, and operations of the data engineering platform built on Microsoft Fabric, Databricks, Azure Data Lake (OneLake), and Azure Data Factory.
  • Lead delivery of Medallion architecture (Bronze/Silver/Gold) pipelines across Policy, Claims, Underwriting, Actuarial, Finance, and Reinsurance domains.
  • Oversee development of Delta Live Tables, batch and streaming pipelines, and feature engineering workflows in Databricks and Fabric.
  • Drive DataOps practices, including CI/CD for data pipelines, automated testing, data contract enforcement, and pipeline observability.
  • Ensure platform reliability, SLA adherence, and proactive incident management for production data pipelines and data products.
  • Partner with the Enterprise Data & AI Architect to implement and evolve Data Mesh architecture, enabling domain teams to own and publish trusted data products.
  • Oversee development and governance of enterprise semantic models, data marts, and dimensional models in Microsoft Fabric and Power BI.
  • Drive adoption of dbt or equivalent transformation frameworks, ensuring transformation logic is version-controlled, tested, and documented.
  • Establish and enforce metric definitions, KPI standards, and business glossary alignment across Underwriting, Claims, Actuarial, Finance, and Reinsurance reporting.
  • Enable self-service analytics through governed Power BI semantic models that business users can explore without IT intervention.
  • Own the BI and reporting roadmap, managing delivery of executive dashboards, operational scorecards, and domain-specific analytics.
  • Ensure Power BI delivery meets enterprise standards for performance, security (RLS/OLS), version control, and deployment pipelines.
  • Replace spreadsheet-based reporting and manual data preparation workflows with governed, automated data products.
  • Translate business requirements from Underwriting, Claims, Actuarial, and Finance into reliable BI solutions with clear lineage and documentation.
  • Define and enforce data quality standards and SLAs across engineering pipelines and analytics products in partnership with Data Governance and Data Product Owners.
  • Implement data observability frameworks to detect and resolve data freshness, completeness, and accuracy issues before they affect business decisions.
  • Partner with Data Governance to ensure pipelines and data products are cataloged, lineaged, and classified in Microsoft Purview.
  • Ensure engineering and analytics outputs comply with NAIC, SOC 2, CCPA, and audit requirements relevant to P&C insurance data.
  • Partner with the AI Engineering team to deliver feature pipelines, training datasets, and model inference infrastructure for AI and machine learning use cases.
  • Enable Generative AI and LLM integrations in the data platform, including document ingestion pipelines, vector store management, and structured and unstructured data processing for RAG architectures.
  • Support the MSIG Nexus intelligence portal with reliable, low-latency data products for real-time analytics, AI summaries, and self-service reporting.
  • Identify opportunities to automate manual data workflows using AI-assisted data transformation, anomaly detection, and intelligent pipeline monitoring.
  • Serve as the primary data engineering and analytics partner to business domain leaders, translating their needs into engineered data solutions.
  • Develop and manage the data engineering and analytics roadmap in alignment with the CDAO's priorities and enterprise data strategy.
  • Present roadmap progress, delivery status, and platform health metrics regularly to senior leadership and the CDAO.
  • Lead vendor relationships and participate in technology evaluations, RFPs, and contract negotiations for data platform tooling and services.
  • Manage the data engineering and analytics budget, including cloud infrastructure costs, tooling licenses, and contractor spend.

Desired Qualifications

  • A master's degree is preferred.
  • P&C insurance experience is strongly preferred.

About the Company

MSIG USA

Commercial P&C insurance and risk management

MSIG USA provides commercial property and casualty insurance to U.S.-based and multinational businesses, with tailored coverage across property, casualty, marine, and financial lines (including D&O and cyber). It writes standard policies and specialized programs, and has recently established MSIG Specialty Insurance America to underwrite non-admitted business. A core part of its model is risk engineering, loss prevention, and in-house claims management (handling over 90% of claims directly) to deliver efficient service. The company differentiates itself through the backing of the MS&AD Insurance Group (a financially strong parent), a history of large-scale P&C capacity, and a focus on customized solutions for complex exposures. Its goal is to help organizations manage sophisticated risks across all 50 states, including multinational clients, by offering comprehensive coverage and proactive risk management.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
Not listed

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