Director of Data – P&C Insurance

This is a fully remote position, open to applicants in United States.

📋 Description

• Define, manage, and implement the enterprise data strategy for Sutton National, ensuring alignment with growth objectives, regulatory obligations, and operational priorities.

• Create and uphold data governance frameworks that encompass data ownership, stewardship, quality standards, metadata management, lineage documentation, and access controls.

• Act as the executive sponsor for data policy decisions, reporting on KPIs, platform performance, adoption rates, and strategic updates to the executive leadership team.

• Develop and sustain a prioritized data roadmap that spans underwriting, claims, finance, actuarial, compliance, and program management.

• Lead the strategic design and continuous development of the Sutton Data Warehouse in Microsoft Fabric as the definitive source for premium and loss data.

• Supervise the ingestion, transformation, and loading of premium and loss data via Azure Data Factory pipelines.

• Establish and uphold data standards and business rules for policy, endorsements, cancellations, claims, and financial settlement data.

• Ensure that data supports underwriting analysis, actuarial reserving, financial reporting, regulatory submissions, and monitoring of program performance.

• Collaborate with finance, actuarial, and compliance teams to verify data accuracy and completeness, addressing any discrepancies that arise.

• Maintain data dictionaries, lineage maps, and documentation for SDW datasets and domains.

• Function as the platform owner for Microsoft Fabric and Azure Data Factory, overseeing architecture, configuration, capacity planning, security, and development.

• Drive enhancements of ELT/ETL pipeline architecture to improve efficiency, reliability, and scalability.

• Govern Fabric workspaces, Lakehouse design, semantic models, medallion architecture, and data sharing protocols.

• Establish monitoring, alerting, and incident response protocols for various components of the data platform.

• Build and advance the data practice through frameworks and processes for data engineering, analytics, and reporting.

• Define data product management practices that include ownership, SLAs, and quality commitments.

• Promote best practices in data modeling, documentation, testing, and version control.

• Recruit and lead data engineers, analytics engineers, and data analysts, setting clear expectations and fostering development.

• Design and implement a citizen development program across underwriting, claims, finance, actuarial, and compliance sectors.

• Establish guidelines, training, and support for governed self-service reporting and analytics using PowerBI and Microsoft Fabric.

• Develop data literacy programs and resources for enablement.

• Define certification or tiering models for citizen developers and advocate for a data-driven culture.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related discipline; an advanced degree is preferred.

• 10+ years of experience in data engineering, data architecture, or data management, with at least 5 years in a senior or director-level data leadership position.

• Proven experience in managing 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 sector, with extensive familiarity with premium, loss, and program data.

• Demonstrated success in defining and executing a data strategy that has delivered measurable business impacts across various departments.

• Experience in building or overseeing citizen development or data self-service programs for a diverse user base.

• A track record of establishing data governance frameworks and data quality initiatives in a regulated industry context.

• Experience in leading and developing high-performing data teams within a fast-paced, growth-focused 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 tasks.

• Strong understanding of P&C insurance data, including premium and loss data structures, regulatory reporting requirements, and program management workflows.

• Proven experience in building and leading data governance initiatives, including data quality, lineage, stewardship, and metadata management.

• Ability to design and implement citizen development programs that effectively balance accessibility with governance and data integrity.

• Excellent leadership skills with a background in building and developing data teams in a growth-stage organization.

• Exceptional communication and stakeholder management abilities; capable of translating data strategy into business value for both executive and non-technical audiences.

• Strong analytical and problem-solving mindset focused on scalable, sustainable, and well-documented data solutions.

• Experience with PowerBI semantic model design, report governance, and enterprise deployment best practices.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working arrangements.

• Collaborative company culture that values innovation and teamwork.