Data Project Manager

Responsibilities

• Data Project Delivery
• Lead the end-to-end execution of data-focused initiatives, including data platform implementations, reporting and dashboard development, data integration, and advanced analytics use cases.
• Define project scope, timelines, deliverables, and success metrics aligned with business objectives, ensuring efficient delivery and measurable outcomes.
• Drive cross-functional collaboration across business stakeholders, data engineering, analytics, and IT teams to manage dependencies and deliver scalable, high-impact data solutions.
• Insurance Data & Analytics Enablement
• Partner with underwriting, actuarial, and program teams to deliver actionable insights that support risk selection, pricing, and program performance.
• Analyze key metrics such as loss ratios, submission-to-bind conversion, retention, and overall portfolio performance.
• Translate business requirements into technical data specifications and contribute to the development of data models tailored to specialty insurance lines (e.g., construction, trucking, property, hospitality).
• Data Infrastructure & Technology
• Support the implementation and enhancement of core data infrastructure, including data warehouses, data lakes, ETL/ELT pipelines, and business intelligence tools (e.g., Power BI, Tableau).
• Collaborate with engineering teams to ensure data solutions are accurate, scalable, and reliable, and facilitate integration of internal and third-party data sources (e.g., telematics, claims, and external risk data).
• Data Governance & Quality
• Own data governance and quality practices by establishing standards, definitions, and controls to ensure data integrity, consistency, and compliance with regulatory and carrier requirements.
• Lead data quality initiatives, including validation, monitoring, and remediation efforts, and support the development of standardized reporting across programs and stakeholders.
• Stakeholder & Cross-Functional Collaboration
• Act as a key liaison between business and technical teams, translating data needs into actionable solutions through stakeholder engagement, requirements gathering, and facilitated workshops.
• Provide regular updates, reporting, and executive-level summaries to communicate progress, insights, and outcomes.
• Performance Monitoring & Continuous Improvement
• Track and evaluate the performance of data initiatives against defined KPIs and business impact goals. Identify opportunities to enhance data utilization across the insurance lifecycle and drive adoption of self-service analytics and data-driven decision-making.

Requirements

• 5+ years of experience in data project management, analytics delivery, or data program management.
• Experience working in insurance (P&C preferred) with familiarity in underwriting, claims, or actuarial data; experience within an MGA, program administrator, or specialty insurance environment is highly valued.
• Strong understanding of data lifecycle concepts, including data modeling, ETL processes, data warehousing, and business intelligence.
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
• Knowledge of cloud data platforms (e.g., Snowflake, Azure, AWS).
• Proven ability to manage multiple cross-functional projects, complex workflows, and stakeholders in fast-paced environments.
• Strong communication and stakeholder management skills, including the ability to present to executive audiences.
• Proficiency in project management methodologies (Agile, Scrum, Waterfall, or hybrid).
• PMP, Agile, or similar certification is a plus.
• Experience working with geographically distributed teams across multiple time zones.
• Bachelor's degree required.
• Employment Type
• Contract-to-Hire (W2 → W2)

Benefits

Additional Information

We're seeking a Data Project Manager who will lead data-driven initiatives that improve underwriting performance, program profitability, and operational efficiency across a portfolio of specialty insurance programs. This role partners across business, data, and technology teams to deliver scalable data solutions that support analytics, reporting, and decision-making. The Data Project Manager plays a key role in enhancing underwriting, pricing, distribution, and overall program performance through effective use of data and analytics platforms.

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Company Intel

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