Manager, Data Quality

Ledgebrook

. Build and lead the Data Quality function within the Product & Data team .

Posted 11/6/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $135,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Quality Management, including the establishment of standards, KPIs, and automated controls. Proficient in translating business requirements into technical specifications while mentoring analysts and driving data integrity across insurance data.

Highest-signal resume keywords

Data Quality ManagementAdvanced SQLPower BIProperty & Casualty Insurance Data AnalysisStatistical Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QualityData AnalyticsData ModelingData ValidationAutomated ReconciliationsAnomaly DetectionKPI DesignStatistical TrendingBusiness Requirements TranslationUAT Planning

Soft Skills

Excellent CommunicationAttention to DetailCuriosityOwnershipInfluencing Stakeholders

Tools & Technologies

ExcelAI ToolsData Dashboards

Industry Keywords

Insurance DataMGAClaims DataPolicy DataPremium Data

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Build and lead the Data Quality function within the Product & Data team
Define the operating model, standards, roadmap, and governed processes for enterprise data quality
Design and launch data quality KPIs and dashboards, including statistical trending, anomaly detection, and completeness measures
Define business data validation rules and build automated reconciliations, controls, and alerting across policy, premium, and claims data
Trace data issues to their source and drive proactive root-cause remediation
Plan and run UAT, validation, and sign-off for system migrations, new data feeds including TPA integrations, and new product launches
Translate business requirements into specifications and efficient designs for Data Engineering
Establish shared, documented data definitions
Help shape hiring, mentor analysts, and set quality and ownership standards as the function scales
Partner with engineering, actuarial, claims, analytics, and operations

Requirements

What you’ll need

5+ years of experience in data quality, data analytics, or similar insurance data-focused roles
Meaningful experience analyzing Property & Casualty (P&C) insurance data
Advanced SQL, Excel, and Power BI for investigation, data modeling, and reporting
Excellent communication and presentation skills, with the ability to influence stakeholders and senior leaders across the organization
Close attention to detail and the curiosity to trace complex data inconsistencies back to their source
Strong ability to translate business needs into technical requirements
Comfort integrating AI tools in day-to-day workflows to drive efficiencies
Self-starter who takes full ownership, thrives in a fast-paced environment, and handles ambiguity well
Candidates must be authorized to work in the United States or Canada without current or future employer-sponsored work authorization
Experience applying statistical methods to monitor data and portfolio health (nice to have)
Experience at an MGA or a carrier that partners with MGAs (nice to have)
Experience leading or managing analysts (nice to have)

Benefits

Comp & perks

Generous equity packages
Full remote flexibility and asynchronous work culture
Unlimited PTO and fully paid sick leave
Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options
401(k)
Company-paid life insurance
Disability coverage
Equity incentive program