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Jobs via Dice • Draper, Utah, United States
Salary: $65 - 75 per hour
Role & seniority: Data Quality Engineering & Operations Manager (1-year contract), senior individual contributor with people-management responsibility
Stack/tools: Monte Carlo data observability platform; data quality monitoring across source/operational datasets, analytics/semantic layers, and AI pipelines; modern cloud data warehouses/lakehouses; ETL/ELT; BI tools
Own enterprise data quality strategy, roadmap, and backlog aligned to governance and business priorities
Translate requirements into actionable data quality rules, monitoring, alerts, and remediation; configure Monte Carlo for data freshness, volumes, schema changes, and anomalies
Lead day-to-day data quality operations; manage and mentor Data Quality Engineers; communicate health/trends to governance and exec sponsors
7+ years in data/analytics/data management with a focus on data quality
3+ years in a people-lead role supporting data/analytics platforms
Hands-on experience with Monte Carlo or similar observability platforms; strong understanding of data quality across operational, analytical, and AI use cases
Experience with modern data platforms (cloud warehouses/lakehouses, ETL/ELT, BI)
Formal Data Governance experience
Familiarity with data observability, anomaly detection, data drift
AI/ML/advanced analytics support experience; regulated industry background
Location & work type: Telecommute (remote),
We have a 1 year contract opportunity for a Data Quality Engineering & Operations Manager. This role is fully remote working mainly MST hours.
location: Telecommute
job type: Contract
salary: $65 - 75 per hour
work hours: 8am to 5pm
education: No Degree Required
What You'll Do
Product Ownership & Strategy
Own the enterprise data quality strategy, roadmap, and backlog aligned to data governance objectives and business priorities Define success metrics for data quality, including coverage, incident reduction, SLA performance, analytics trust, and AI impact through well-documented and enforceable policy, standard and procedures Drive adoption and value realization of data quality policy and standards from Monte Carlo, ensuring it is used consistently and effectively across domains
Delivery & Operations
Translate business, governance, analytics, and AI requirements into actionable data quality rules, thresholds, and monitoring Configure and operationalize Monte Carlo to monitor data freshness, volume, distribution, schema changes, and anomalies
Data Quality for Operations & Analytics
Data Quality for AI & Advanced Analytics
People & Stakeholder Leadership
Manage and mentor Data Quality Engineers responsible for rule development, monitoring, and issue analysis Collaborate with Data Engineering, Analytics, Data Science, Privacy, and Business Data Owners Communicate data quality health, trends, and risks to governance and executive stakeholders
What We're Looking For
7+ years of experience in data, analytics, or data management roles with a strong focus on data quality 3+ years in a people-lead role supporting data or analytics platforms Hands-on experience implementing or operating Monte Carlo or similar data observability platforms Strong understanding of data quality dimensions across operational, analytical, and AI use cases Experience working with modern data platforms (cloud data warehouses/lakehouses, ETL/ELT pipelines, BI tools)
Nice to Have
Experience working within a formal Data Governance organization Familiarity with data observability, anomaly detection, and data drift concepts Experience supporting AI/ML or advanced analytics use cases Background in regulated industries
Why This Role
Own and evolve an enterprise data quality capability powered by Monte Carlo Influence how data is trusted across reporting, analytics, and AI Operate within a mature Data Governance function with executive sponsorship Combine product ownership, platform leadership, and team management
We are seeking a Data Quality Engineering and Operations Manager to lead the design, delivery, and operation of enterprise data quality capabilities across operational systems, analytics platforms, and AI pipelines. This role sits within the Data Governance function and owns data quality as a product-ensuring data is accurate, complete, timely, and trusted wherever it is used.
You will own the data quality roadmap and backlog, manage a team of Data Quality Engineers, and leverage Monte Carlo as a core data observability and quality monitoring platform to detect, prioritize, and resolve data quality issues at scale
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.