Horizontal Talent is seeking an experienced Data Quality Engineering and Operations Manager to lead the development and management of enterprise data quality initiatives. This role involves designing data quality strategies, monitoring metrics, and overseeing operations to ensure data accuracy and reliability across platforms.
Responsibilities:
- 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
Requirements:
- 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 within 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