Data Quality Lead

Accountabilities: The Data Quality Lead will own the processes, controls, and operational standards that ensure high-quality data across products and workflows. This role requires a balance of analytical investigation, strategic process design, and people leadership, with a focus on improving data reliability and operational efficiency.

Lead investigations into data quality issues, identify root causes, and collaborate with Product and Engineering teams to implement long-term solutions.

Develop and maintain data quality controls, review processes, documentation, and operating procedures that support consistent standards.

Create reporting frameworks and metrics to monitor data health, team performance, workload, and operational trends.

Experiment with automation and AI-assisted workflows to improve data review processes, accuracy, and scalability.

Evaluate and implement tools, systems, and workflows that enhance efficiency across data operations.

Prioritize and manage data quality initiatives to ensure critical issues are addressed effectively.

Communicate insights, trends, risks, and recommendations clearly to technical and non-technical stakeholders.

Build, mentor, and manage a team of data quality analysts as the function grows.

Establish best practices and maintain clear documentation to support scalable data operations.

Requirements:

The ideal candidate brings strong experience in data quality, analytics, or data operations, combined with the ability to improve processes and collaborate across teams. You should be comfortable working independently, solving ambiguous problems, and balancing execution with long-term operational improvements.

4+ years of experience in data quality, data operations, analytics, research, or a related discipline.

Strong analytical, investigative, and problem-solving skills with experience performing root cause analysis.

Proven ability to translate data findings into actionable recommendations and operational improvements.

Proficiency with SQL, spreadsheets, and business intelligence or reporting tools.

Experience designing and improving data processes, quality controls, and operational workflows.

Familiarity with automation tools, AI-assisted workflows, or human-review systems.

Strong written and verbal communication skills with the ability to collaborate effectively across technical and business teams.

Ability to manage priorities in a fast-paced, growth-oriented environment while maintaining attention to detail.

Experience leading, mentoring, or managing analysts is preferred.

Familiarity with data pipelines, data collection processes, real estate technology, or related industries is a plus.

Benefits:

Remote-first work environment with flexibility to work from home across most of the United States.

Competitive compensation package aligned with experience and impact.

Flexible vacation policy and dedicated paid parental leave.

Medical, dental, and vision insurance coverage for employees and families.

Company-paid short-term disability, long-term disability, and basic life insurance.

Access to supplemental insurance options, including specialized coverage for pets.

401(k) program to support long-term financial planning.

Opportunities to work with innovative AI and data technologies in a high-growth environment.

Collaborative team culture with opportunities for professional growth and development.

Company offsites designed to strengthen relationships, creativity, and team connection.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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