Director of Data – P&C Insurance

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🔒 Insurance

👻 Ghost score 10%

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Sutton National Group

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛡️ Insurance

🤝 B2B

💸 Finance

Insurance • B2B • Finance

Sutton National Group is a property and casualty program carrier that partners with program administrators and reinsurers to underwrite and manage admitted and surplus lines insurance programs. The firm emphasizes alignment with partners—retaining up to 20% of working layer risk—and offers underwriting, actuarial, reinsurance, compliance, claims, and financial expertise. Sutton National holds an A. M. Best rating of A- (Excellent) and focuses on driving program success through experienced teams across underwriting, claims, actuarial, compliance, finance, and IT.

📋 Description

• Define, own, and execute the enterprise data strategy for Sutton National, aligning data initiatives with growth objectives, regulatory requirements, and operational priorities • Establish and maintain data governance frameworks covering data ownership, stewardship, quality standards, metadata management, lineage documentation, and access controls • Serve as executive sponsor for data policy decisions and report KPIs, platform performance, adoption, and strategic updates to executive leadership • Develop and maintain a prioritized data roadmap across underwriting, claims, finance, actuarial, compliance, and program management • Own the strategic design and ongoing development of the Sutton Data Warehouse in Microsoft Fabric as the authoritative source for premium and loss data • Oversee ingestion, transformation, and loading of premium and loss data through Azure Data Factory pipelines • Define and enforce data standards and business rules for policy, endorsement, cancellation, claims, and financial settlement data • Ensure data supports underwriting analysis, actuarial reserving, financial reporting, regulatory submissions, and program performance monitoring • Partner with finance, actuarial, and compliance teams to validate data accuracy and completeness and resolve discrepancies • Maintain data dictionaries, lineage maps, and documentation for SDW datasets and domains • Serve as platform owner for Microsoft Fabric and Azure Data Factory, overseeing architecture, configuration, capacity planning, security, and development • Lead improvement of ELT/ETL pipeline architecture for efficiency, reliability, and scalability • Govern Fabric workspaces, Lakehouse design, semantic models, medallion architecture, and data sharing • Establish monitoring, alerting, and incident response processes for data platform components • Build and mature the data practice through frameworks and processes for data engineering, analytics, and reporting • Define data product management practices with ownership, SLAs, and quality commitments • Drive best practices in data modeling, documentation, testing, and version control • Build and lead data engineers, analytics engineers, and data analysts, setting expectations and supporting development • Design and lead a citizen development program across underwriting, claims, finance, actuarial, and compliance • Establish guardrails, training, and support for governed self-service reporting and analytics in PowerBI and Microsoft Fabric • Develop data literacy programs and enablement resources • Define certification or tiering models for citizen developers and champion a data-driven culture

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; advanced degree preferred • 10+ years of experience in data engineering, data architecture, or data management, with 5+ years in a senior or director-level data leadership role • Proven experience owning enterprise data warehousing or lakehouse platforms at scale, with hands-on expertise in Microsoft Fabric and Azure Data Factory • 8+ years of experience in the Property & Casualty insurance industry, with deep familiarity with premium, loss, and program data • Demonstrated success defining and executing a data strategy that delivered measurable business impact across multiple departments • Experience building or leading citizen development or data self-service programs across a diverse business user base • Track record of establishing data governance frameworks and data quality programs in a regulated industry environment • Experience leading and developing high-performing data teams in a fast-paced, growth-oriented organization • Deep expertise in enterprise data strategy, data architecture, and data platform development within a complex, multi-source environment • Strong knowledge of Microsoft Fabric (Lakehouse, Data Warehouse, Dataflows, Pipelines, Semantic Models) and Azure Data Factory (pipelines, linked services, triggers, data flows) • Proficiency in SQL and experience with Python or PySpark for data engineering and transformation workloads • Strong understanding of P&C insurance data, including premium and loss data structures, regulatory reporting requirements, and program management workflows • Demonstrated experience building and leading data governance programs, including data quality, lineage, stewardship, and metadata management • Proven ability to design and implement citizen development programs that balance accessibility with governance and data integrity • Excellent leadership skills with experience building and developing data teams in a growth-stage organization • Exceptional communication and stakeholder management skills; able to translate data strategy into business value for executive and non-technical audiences • Strong analytical and problem-solving mindset with a focus on scalable, sustainable, and well-documented data solutions • Experience with PowerBI semantic model design, report governance, and enterprise deployment best practices

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