Full Description

Job Summary

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

Responsibilities

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

Ensure data quality controls are implemented across

• Source and operational datasets
• Curated analytics and semantic layers
• AI training, feature, and inference pipelines
• Own day-to-day data quality operations, including alert triage, root cause analysis, and remediation coordination

Data Quality for Operations & Analytics

Establish and operationalize data quality standards for

• Critical data elements (CDEs) used in decision-making
• Management and regulatory reporting datasets
• Enterprise metrics, KPIs, and dashboards
• Use Monte Carlo observability signals to proactively identify upstream issues impacting reports and analytics
• Improve trust and adoption of analytics through transparent quality metrics and reporting

Data Quality for AI & Advanced Analytics

Establish and operationalize data quality standards for AI and ML use cases, including

• Training and validation data completeness and representativeness
• Label accuracy and consistency
• Schema, volume, and distribution drift detection
• Bias, outlier, and feature stability monitoring
• Partner with data science teams to identify AI-critical datasets and features
• Use Monte Carlo monitoring and anomaly detection to identify data issues that could impact model performance or reliability

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

Qualifications

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 HRsupport@randstadusa.com.

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.

Seniority level Not Applicable Employment type Contract Job function Management and Manufacturing Industries IT Services and IT Consulting