Director of Data – P&C Insurance

Sutton National Group

. Define, own, and execute the enterprise data strategy for Sutton National, aligning data initiatives with growth objectives, regulatory requirements, and operational priorities .

Posted 11/5/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in enterprise data strategy, data architecture, and data governance within the Property & Casualty insurance industry, with a strong focus on Microsoft Fabric and Azure Data Factory. Proven ability to lead high-performing data teams and implement citizen development programs that enhance data accessibility while ensuring governance and data integrity.

Highest-signal resume keywords

Enterprise Data StrategyMicrosoft FabricAzure Data FactoryData Governance FrameworksProperty & Casualty Insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureSQLPythonPySparkData WarehousingData TransformationData Quality ManagementData ModelingELT/ETL Pipeline Architecture

Soft Skills

LeadershipCommunicationStakeholder ManagementAnalytical Problem-SolvingTeam Development

Tools & Technologies

PowerBIDataflowsPipelinesSemantic ModelsLakehouse

Industry Keywords

Data StewardshipMetadata ManagementRegulatory ReportingPremium DataLoss Data

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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