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Data Quality Lead Jobs (NOW HIRING)

Data Meaning

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190 ... for our high-quality consulting services throughout the US and beyond. Our expertise lies in ...

Data Meaning

Lead Data Architect

Boca Raton, FL · Remote

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190 ... for our high-quality consulting services throughout the US and beyond. Our expertise lies in ...

Great Plains Processing

Quality Lead

Luverne, MN

Join Our Team as a Quality Lead! Are you passionate about maintaining high-quality standards in a ... Manage customer complaints, nonconformities, and CAPAs, using data insights to identify trends and ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site +1

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site +1

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

As External Partnerships Lead, you'll own Figure's external data vendor portfolio for Data Quality: who we work with, what we hold them to, and how their output meets the same bar as our in-house ...

CRH

Program Manager- Data Quality

Atlanta, GA

Data Quality Lead or Manager - owning data quality frameworks, metrics, and improvement programs. * Analytics or Data Management Roles - expanding into broader analytics, data governance, or ...

ENE IT Consulting

Lead Data QA

Philadelphia, PA

$130K/yr

The Lead Data QA is responsible for defining and driving the overall Data Quality Assurance strategy for enterprise-scale data platforms. This role ensures that all data systems meet rigorous ...

AstraNova Solar

Quality Lead

Richardson, TX · On-site

$70 - $95/hr

After production launch, Quality Lead will oversee quality operations, laboratory activities, quality data analysis, and continuous improvement initiatives to ensure products consistently meet ...

New

CRH

Program Manager- Data Quality

Atlanta, GA · On-site

Data Quality Lead or Manager - owning data quality frameworks, metrics, and improvement programs. * Analytics or Data Management Roles - expanding into broader analytics, data governance, or ...

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Data Quality Lead information

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$67

How much do data quality lead jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data quality lead in the United States is $28.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $34.62 per hour, depending on experience, location, and employer.

What does a data quality lead do?

A Data Quality Lead is responsible for ensuring that an organization's data is accurate, consistent, complete, and reliable. They develop and implement data quality standards, monitor data integrity, and collaborate with different teams to resolve data issues. Their role often involves analyzing data flows, defining data quality metrics, and leading initiatives to improve data management practices. By maintaining high data quality, they help support better business decisions and compliance with regulations.

What are the key skills and qualifications needed to thrive as a data quality lead?

To thrive as a Data Quality Lead, you need expertise in data management, data governance, and analytics, usually backed by a bachelor’s or master’s degree in a related field. Familiarity with data quality tools (such as Informatica or Talend), SQL, and knowledge of data standards or compliance frameworks are typically required. Strong problem-solving skills, attention to detail, and effective communication help foster collaboration and drive quality initiatives across teams. These skills are critical for ensuring accurate, reliable data that supports business decision-making and regulatory compliance.

What are the main challenges a data quality lead faces when implementing data governance across multiple departments?

A Data Quality Lead often encounters challenges such as aligning data standards among diverse teams, addressing inconsistent data definitions, and securing buy-in from stakeholders with varying priorities. Successfully implementing data governance requires strong communication skills to bridge gaps between IT and business units, as well as the ability to create clear policies and training programs. Additionally, the role frequently involves troubleshooting data integration issues and ensuring ongoing compliance with data quality metrics across all departments.

What is the difference between Data Quality Lead vs Data Analyst?

AspectData Quality LeadData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications in data management or quality (e.g., CDMP)Bachelor's in Statistics, Data Science, or related field; often similar certifications
Work EnvironmentFocus on data governance, quality assurance, and process improvement within data teamsAnalyze data sets, generate reports, and support decision-making across departments
Employer & Industry UsageUsed in organizations emphasizing data integrity and compliance, especially in finance, healthcare, and techCommon across various industries for data-driven roles, including marketing, finance, and tech

The Data Quality Lead primarily oversees data accuracy, governance, and quality assurance processes, ensuring data integrity across systems. In contrast, the Data Analyst focuses on analyzing data, creating reports, and supporting business insights. While both roles require strong data skills and similar certifications, their core responsibilities and focus areas differ significantly.

More about Data Quality Lead jobs

What states have the most Data Quality Lead jobs?

States with the most job openings for Data Quality Lead jobs include:

What job categories do people searching Data Quality Lead jobs look for?

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Data Quality Lead jobs near you
Infographic showing various Data Quality Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,575 per year, or $28.6 per hour.

Project Perseus \u007C Data Quality Team Lead (Human-in-the-Loop AI)

Welo Data

Washington, DC

$43.50/hr

Full-time

Re-posted 26 days ago

Job description

Overview

Welo Data is looking for a Data Quality Lead to oversee teams of Data Quality Analysts supporting AI model evaluation and improvement.

This role is equal parts people leadership, quality ownership, and operational thinking.

You’ll be responsible for guiding teams through fast-changing work, ensuring high-quality output, and acting as a bridge between analysts and stakeholders. This is not just about managing throughput — it’s about shaping how quality is defined, measured, and improved in a human-in-the-loop environment.

Project Details

  • Job Title: Data Quality Lead
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay rate: $43.50/ hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Lead and support a team of Data Quality Analysts
  • Oversee overall operational performance across workflows and teams
  • Ensure team activities align with broader business objectives and program goals
  • Drive the success of key initiatives across quality, delivery, and team performance
  • Own quality across workflows — including audits, calibrations, and feedback loops
  • Identify trends, risks, and gaps in model performance and data quality
  • Translate ambiguous or evolving guidelines into clear team direction
  • Run calibrations and ensure consistency across reviewers
  • Partner with stakeholders to align on quality standards and expectations
  • Prioritize and support hiring of linguists and specialized talent as needed
  • Drive continuous improvement across processes, tooling, and evaluation methods
  • Step into edge cases and complex decisions when needed
  • Support team growth, coaching, and performance management
What We’re Looking For
  • 5–8 years of experience in data quality, QA, AI/ML operations, or related fields
  • 2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale
  • Native-level English proficiency and a university degree (Bachelor’s or higher).
  • Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese.
  • Strong operational mindset with experience managing performance across multiple workstreams
  • Proven ability to drive quality, delivery, and process improvements
  • Strong judgment and ability to operate in ambiguity
  • Comfortable interacting with stakeholders and representing the team
  • Ability to balance quality, speed, and evolving priorities
  • Strong communication and organizational skills
  • Deep attention to detail, with the ability to zoom out and see patterns
  • Interest in AI and how human feedback shapes model behavior 
Role Scope & Accountability

This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement.

You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance.

Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.