Data Quality Engineering And Operations Manager

Description

Core Responsibilities: 1) Oversees Data Quality Engineers and owns the data quality operating model using Monte Carlo 2) Define, deploy, and continuously improve: Data quality monitoring at source and across lineage, Scoring aligned to key corporate metrics, Routine data quality scorecards 3) Establish and manage issue management processes: Centralized issue tracking, SLAs for remediation, 4) Partner with analytics, engineering, and business stakeholders to: Prioritize quality monitoring, Address data defects impacting business outcomes 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. 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: 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 Data Quality for Operations & Analytics 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 Data Quality for AI & Advanced Analytics 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 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

Skills

Data Governance, Data Quality, Data analytics, Data Quality Management, Data Quality Frameworks, Monte Carlo, databricks, Data observability, AI/ML

Top Skills Details

Data Governance,Data Quality,Data analytics,Data Quality Management,Data Quality Frameworks,Monte Carlo,databricks

Additional Skills & Qualifications

Technical Environment 1) Monte Carlo (or comparable data quality platforms) 2) Databricks enterprise data lakehouse 3) Data domains include: Customer, product, supplier (master data), Transactional and financial data, Data sourced from CRM, ERP, and member-facing products Ideal Candidate Profile 1) Hands-on, techno-functional leader 2) Has personally worked as: A data quality engineer, analyst, or governance practitioner earlier in career 3) Comfortable leading in: Lean, fast-paced environments, Small teams with aggressive timelines 4) Strong communicator with business and technical stakeholders 5) Financial services / banking background strongly preferred. Relevant to future fraud, risk, and KYC-type initiatives 6) Experienced with: Building functions from the ground up, Scaling teams without heavy enterprise support structures 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

Experience Level

Intermediate Level
Job Type & Location
This is a Contract to Hire position based out of Draper, UT.
Pay and Benefits
The pay range for this position is $70.00 - $75.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: 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)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Feb 13, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.