Data Quality Engineering and Operations Manager

Overview

We are seeking an experienced Data Quality Engineering and Operations Manager to lead the development and management of enterprise data quality initiatives. This fully remote position offers a competitive salary and the opportunity to work with a dynamic team focused on enhancing data governance and quality across various platforms.

• Lead the design and implementation of data quality strategies aligned with business objectives.
• Define and monitor key metrics for data quality, ensuring data accuracy and reliability.
• Translate business requirements into actionable data quality rules and thresholds.
• Oversee day-to-day operations of data quality, including issue resolution and monitoring.
• Establish standards for critical data elements used in decision-making processes.
• Collaborate with cross-functional teams to communicate data quality trends and risks.
• Manage and mentor a team of Data Quality Engineers to foster professional growth.

• 7+ years of experience in data management, analytics, or related fields with a focus on data quality.
• Proven experience in a leadership role overseeing data or analytics platforms.
• Hands-on experience with data observability platforms such as Monte Carlo.
• Strong understanding of data quality dimensions across various use cases.
• Excellent analytical and problem-solving skills with attention to detail.

• Experience with in a formal Data Governance organization.
• Familiarity with concepts of data observability and anomaly detection.
• Background in supporting AI/ML or advanced analytics initiatives.
• Strong communication and collaboration skills to work effectively with diverse teams.

We are committed to fostering a diverse, equitable, and inclusive environment where all individuals feel valued and empowered to contribute their unique perspectives.

Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.