TEKsystems · 3 hours ago
Data Quality Engineering And Operations Manager
United States
Contract
Remote
Senior Level
$70/hr - $75/hr
7+ years expTEKsystems is a leading provider of business and technology services, and they are seeking a Data Quality Engineering and Operations Manager to lead the design, delivery, and operation of enterprise data quality capabilities. This role involves overseeing data quality engineers, managing data quality operations, and ensuring data accuracy and trust across various platforms.
Information Technology
Responsibilities
Oversees Data Quality Engineers and owns the data quality operating model using Monte Carlo
Define, deploy, and continuously improve: Data quality monitoring at source and across lineage, Scoring aligned to key corporate metrics, Routine data quality scorecards
Establish and manage issue management processes: Centralized issue tracking, SLAs for remediation
Partner with analytics, engineering, and business stakeholders to: Prioritize quality monitoring, Address data defects impacting business outcomes
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
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: o Source and operational datasets o Curated analytics and semantic layers o AI training, feature, and inference pipelines
Own day-to-day data quality operations, including alert triage, root cause analysis, and remediation coordination
Establish and operationalize data quality standards for: o Critical data elements (CDEs) used in decision-making o Management and regulatory reporting datasets o 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
Establish and operationalize data quality standards for AI and ML use cases, including: o Training and validation data completeness and representativeness o Label accuracy and consistency o Schema, volume, and distribution drift detection o 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
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
Qualification
Required
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)
Data Governance
Data Quality
Data analytics
Data Quality Management
Data Quality Frameworks
Monte Carlo
databricks
Data observability
AI/ML
Preferred
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
Benefits
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Company
TEKsystems
At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America,
10001+ employees
H1B Sponsorship
TEKsystems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (46)
2024 (52)
2023 (33)
2022 (22)
2021 (36)
2020 (53)
Funding
Current Stage
Late StageLeadership Team
Ryan Skains
Vice President, TEKsystems Global Services
Recent News
Morningstar.com
2026-02-03
2025-11-19
2025-10-29
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