Quick Summary
Description At Ledgebrook, we are building a modern data stack and believe a career in data and analytics can be so much more.
At Ledgebrook, we are building a modern data stack and believe a career in data and analytics can be so much more. You bring passion and entrepreneurial spirit; we’ll provide the platform and opportunity to unleash the very best of your talents and skills. Apply now to advance your insurance data and analytical knowledge and career at Ledgebrook.
About the Role
~1 min readLedgebrook is seeking an AVP, Data Quality to join our Product & Data team. On this team, you’ll lead our organization’s efforts to analyze complex data to ensure its integrity and accuracy. A key part of your role will be to define our data quality vision and standards, drive organizational trust in reporting and analytics, and ensure adherence to regulatory requirements.
As an AVP, Data Quality, you will collaborate with engineering, data excellence, pricing and analytics, and finance teams to improve data quality. You’ll define data quality KPIs, develop tools to monitor and improve our data quality, and establish an issue management and resolution process. You’ll lead a team tasked with proactively querying databases, reviewing data and dashboards, understanding data flow processes, and supporting implementation of data initiatives.
You’ll work closely with the Chief Product and Data Officer as we build out our data quality capabilities and team to support all data integrity work.
We are looking for candidates with a collaborative approach, strong analytical skills, and a passion for leveraging data to drive business outcomes. Some specific experiences and skills include:
- Insurance domain knowledge required; actuarial work experience or credential (ACAS, FCAS, or equivalent) preferred
- Excellent communication and presentation skills to collaborate with stakeholders across the organization
- Strong leadership and team management skills
- Proficiency with SQL, Power BI, and Excel required; exposure to or experience with Snowflake and Python ideal
- Strong analytical and strategic mindset; curious and persistent in finding the “why” behind data inconsistencies
- Navigating a startup environment, fast paced and dealing with uncertainty
Requirements
~1 min readFor those applying in the US:
Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer visa sponsorship at this time
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 23, 2026
- First seen
- June 23, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 61%
- Scored at
- June 23, 2026
Signal breakdown
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