Manager, Data Quality
About The Position
Ledgebrook is seeking a Manager, Data Quality to build and lead its Data Quality function within the Product & Data team. This ground-floor, builder role will formalize existing project-based data quality work into a scalable discipline, creating validation frameworks, KPIs, dashboards, and operating rhythms to support trustworthy data as the company grows from an MGA to a full-stack carrier. Working with the AVP, who sets high-level direction, the Manager will own hands-on design and execution: shaping the roadmap, designing processes, building initial tooling, and driving adoption across the business. The role partners closely with engineering, actuarial, claims, analytics, and operations, and requires comfort with ambiguity, taking thoughtful risks, and learning quickly.
Requirements
- At least 5 years of experience in data quality, data analytics, or similar insurance data-focused roles, including meaningful experience analyzing Property & Casualty (P&C) insurance data.
- Advanced SQL, Excel, and Power BI skills 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 curiosity to trace complex data inconsistencies back to their source.
- Strong ability to translate business needs into technical requirements.
- Comfort integrating AI tools into day-to-day workflows to drive efficiencies.
- Self-starter who takes full ownership, thrives in a fast-paced environment, and handles ambiguity well.
Nice To Haves
- Experience applying statistical methods to monitor data and portfolio health, such as mix-shift trending, control limits, variance, and anomaly detection.
- Experience at an MGA or a carrier that partners with MGAs.
- Experience leading or managing analysts.
Responsibilities
- Define the operating model, standards, and roadmap for enterprise data quality, and formalize ad hoc project support into a repeatable, governed process.
- Design and launch data quality metrics and monitoring, 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 remediation that prevents recurring problems.
- 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 clear specifications and efficient designs for Data Engineering, and establish shared, documented data definitions.
- Help shape hiring, mentor analysts, and establish standards for quality and ownership as the function scales.
Benefits
- 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, and disability coverage.
- Eligibility to participate in Ledgebrook’s equity incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
