Manager, Data Quality

atLedgebrookRemoteFull-timeData ScientistMid-levelSenior$135k – $165k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States, +1 more country.

πŸ“‹ Description

β€’ Lead and establish the Data Quality function within the Product & Data team.

β€’ Develop the operating model, standards, roadmap, and governed processes for enterprise data quality.

β€’ Create and implement data quality KPIs and dashboards, including statistical trending, anomaly detection, and completeness metrics.

β€’ Establish business data validation rules and automate reconciliations, controls, and alerts across policy, premium, and claims data.

β€’ Identify data issues at their source and facilitate proactive root-cause analysis and remediation.

β€’ Plan and execute UAT, validation, and sign-off processes for system migrations, new data feeds such as TPA integrations, and new product launches.

β€’ Convert business requirements into specifications and efficient designs for Data Engineering.

β€’ Create and maintain shared, documented data definitions.

β€’ Contribute to recruitment, mentor analysts, and establish quality and ownership standards as the function grows.

β€’ Collaborate with engineering, actuarial, claims, analytics, and operations teams.


⛳️ Requirements

β€’ Over 5 years of experience in data quality, data analytics, or similar roles focused on insurance data.

β€’ Significant experience analyzing Property & Casualty (P&C) insurance data.

β€’ Proficient in SQL, Excel, and Power BI for data investigation, modeling, and reporting.

β€’ Strong communication and presentation skills, with the capacity to influence stakeholders and senior leaders throughout the organization.

β€’ Exceptional attention to detail and the inquisitiveness to trace complex data inconsistencies back to their origins.

β€’ Ability to effectively translate business needs into technical specifications.

β€’ Comfortable using AI tools in everyday workflows to enhance efficiency.

β€’ Self-motivated individual who takes full ownership, excels in a fast-paced environment, and manages ambiguity effectively.

β€’ Candidates must be authorized to work in the United States or Canada without requiring current or future employer-sponsored work authorization.

β€’ Experience applying statistical methods to monitor data and portfolio health is a plus.

β€’ Background in working at an MGA or a carrier that collaborates with MGAs is advantageous.

β€’ Previous experience leading or managing analysts is a nice-to-have.


🏝️ Benefits

β€’ Attractive equity packages.

β€’ Full remote flexibility and an asynchronous work culture.

β€’ Unlimited PTO and fully paid sick leave.

β€’ Comprehensive health benefits, including medical, dental, and vision coverage, along with HSA and FSA options.

β€’ 401(k) plan.

β€’ Company-paid life insurance.

β€’ Disability coverage.

β€’ Equity incentive program.

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