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Data Quality Lead Jobs (NOW HIRING)

Lam Research

Data Governance Quality Lead

Fremont, CA · On-site

The impact you'll make The Data Governance Quality Lead is an experienced, business-facing role responsible for executing enterprise data governance and data quality capabilities across core business ...

Futran Tech Solutions Pvt. Ltd.

Data Quality Engineer

$117K - $140K/yr

Data Quality Lead Location: Remote Job Type: Contract As an Data QA Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best ...

AIG

Delivery Quality Lead - GenAI

Charlotte, NC · On-site

Identify and prioritize critical data elements for testing. * Lead the testing team in executing data quality tests according to defined plans. * Report any deviations / risks to the leadership with ...

AIG

Delivery Quality Lead - GenAI

Atlanta, GA

Identify and prioritize critical data elements for testing. * Lead the testing team in executing data quality tests according to defined plans. * Report any deviations / risks to the leadership with ...

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How much do data quality lead jobs pay per hour?

As of Jun 23, 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 are the key skills and qualifications needed to thrive as a Data Quality Lead, and why are they important?

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 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.

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 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.
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? The top searched job categories for Data Quality Lead jobs are:
Data Quality Lead jobs near you
Project Perseus \u007C Data Quality Team Lead (Human-in-the-Loop AI)

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

Welo Data

Sunnyvale, CA

$43.50/hr

Full-time

Posted yesterday

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.