Data Quality Lead

We’re Changing the PropTech Industry

We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.

We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.

About Our Products

ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily - covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, RentGrata delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.

About The Role

ApartmentIQ is seeking a Data Quality Lead to oversee the processes, controls, and team responsible for maintaining the quality of the data used across our products.

This is a hands-on leadership role responsible for investigating data issues, identifying root causes, improving quality-control processes, and reporting on overall data health. The Data Quality Lead will work closely with Product and Engineering to improve internal tools and experiment with AI-assisted workflows that make data operations more efficient and scalable.

As the function grows, this role will also be responsible for hiring, developing, and managing a team of data quality analysts.

Responsibilities

• Lead the investigation and resolution of data quality issues.
• Conduct root cause analysis and partner with Product and Engineering on corrective actions.
• Develop and maintain data quality controls, review processes, and operating procedures.
• Experiment with automated and AI-assisted workflows used to support data quality operations.
• Help identify, test, and implement new tools and agents that improve team efficiency and accuracy.
• Establish reporting and metrics to monitor data quality, workload, and team performance.
• Identify recurring issues, operational risks, and opportunities for process improvement.
• Prioritize and manage data quality workflows to ensure issues are addressed efficiently.
• Communicate findings, trends, and recommendations to stakeholders across the organization.
• Build, manage, and develop a team of data quality analysts as the function expands.
• Maintain clear documentation and consistent operating standards across the team.

Qualifications

• 4 + years of experience in data quality, data operations, analytics, research, or a related field.
• Strong analytical, investigative, and problem-solving skills.
• Experience conducting root cause analysis and translating findings into actionable recommendations.
• Proficiency with SQL, spreadsheets, and business intelligence or reporting tools.
• Experience developing or improving operational processes and quality controls.
• Comfort working with automation and AI-assisted tools.
• Strong written and verbal communication skills, including the ability to work effectively with technical and nontechnical stakeholders.
• Ability to balance hands-on execution with team leadership and longer-term process development.