Manager, Data Quality

Job not on LinkedIn

🔥 7 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $135k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ledgebrook

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🛡️ Insurance

🤝 B2B

💸 Finance

💰 $65M Series C on 2025-07

Insurance • B2B • Finance

<Ledgebrook> is a tech-enabled Excess & Surplus (E&S) managing general agent (MGA) that provides fast, data-driven quoting and underwriting services to wholesale brokers. Ledgebrook combines a next-generation tech stack, modeling and analytics, and experienced underwriters to deliver rapid, streamlined submissions and casualty products such as general liability and professional liability.

📋 Description

• 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

• 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

• 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

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