Mondo

Compensation

Full Description

Job Title: Data Quality Product Owner Location-Type: Fully Remote (US) Start Date Is: ASAP Duration: 6-month Contract-to-Hire Compensation Range:$48.71/hr – $55/hr Job Description: Own and operate enterprise data quality capabilities as a product, ensuring trusted, reliable data across operational systems, analytics platforms, and AI pipelines. Day-to-Day Responsibilities: • Own the enterprise data quality roadmap, backlog, and delivery aligned to governance priorities • Translate business, analytics, and AI requirements into data quality rules and monitoring • Configure and operate Monte Carlo for data observability (freshness, volume, schema, anomalies) • Oversee day-to-day data quality operations including alert triage and root cause analysis • Establish data quality standards for critical data elements, reporting, KPIs, and dashboards • Partner with data engineering, analytics, and data science teams on remediation and prevention • Lead and mentor Data Quality Engineers and communicate quality health to stakeholders Requirements: • Must-Haves: • 7 years in data, analytics, or data management with a strong focus on data quality • 3 years of people leadership supporting data or analytics platforms • Hands-on experience with Monte Carlo or similar data observability tools • Strong understanding of data quality dimensions across operational, analytical, and AI use cases • Experience with modern data platforms (cloud data warehouses/lakehouses, ETL/ELT, BI tools) • Nice-to-Haves: • Experience within a formal Data Governance organization • Familiarity with data observability, anomaly detection, and data drift • Experience supporting AI/ML or advanced analytics use cases • Background in regulated industries For Managers: This role fulfills the need to establish and scale enterprise-wide data quality as a governed, product-driven capability. The ideal candidate blends hands-on data observability expertise with strong product ownership and people leadership, ensuring data can be trusted across analytics and AI initiatives. LinkedIn Boolean String: ("data quality” OR "data observability”) AND Monte Carlo AND (product owner OR product manager) AND (data governance OR analytics) Remote About the Company: Mondo