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Data Quality Lead Jobs (NOW HIRING)

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 ...

Switch, Inc.

Data Center Quality Lead

Atlanta, GA · On-site +1

Data Center Quality Site Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet ...

Switch

Data Center Quality Lead

Lithia Springs, GA · On-site +1

Data Center Quality Site Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet ...

Switch

Data Center Quality Lead

Atlanta, GA · On-site

Data Center Quality Site Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet ...

Switch

Data Center Quality Lead

Sparks, NV · On-site +1

Data Center Quality Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet Switch ...

Switch, Inc.

Data Center Quality Lead

Reno, NV · On-site +1

Data Center Quality Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet Switch ...

V2X

The Quality Lead is responsible for performance monitoring of program functional areas through the ... Responsibilities also include gathering and analyzing data from both the Quality PMO functions as ...

PL Developments Careers

Quality Lead

Miami, FL · On-site

$90 - $130/hr

SUMMARY The Quality Lead is responsible for leading Quality Control laboratory operations and ... Working knowledge of cGMP requirements, good documentation practices, data integrity principles ...

Switch

Data Center Quality Lead

Reno, NV · On-site

Data Center Quality Lead As a Data Center Quality Site Lead, you will oversee site-level quality execution for mission-critical construction projects. This role exists to ensure projects meet Switch ...

Sonaca

Quality Lead

Cottonwood Falls, KS · On-site

POSITION SUMMARY We are currently seeking a Quality Lead to lead inspection functions of assembled ... Entering data into the Work Order Tracking System, including notes and recording data on the work ...

Pacific Fusion

Quality Lead

Los Lunas, NM · On-site

Why This Role Matters This Quality Lead is responsible for developing and implementing Pacific ... Familiarity with MES, SCADA, or factory data collection tools. * Comfortable operating in an ...

Apple

ML Data QA Lead, MLO

Cupertino, CA · On-site

As the Data Quality Lead, you own the quality of the datasets in your portfolio and the standards they are measured against. The role spans the full data request life cycle: defining what good looks ...

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Data Quality Lead information

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How much do data quality lead jobs pay per hour?

As of Aug 22, 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?

The top searched job categories for Data Quality Lead jobs are:

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.

Lead, Data Quality - Partnerships

Figure

San Jose, CA • On-site

$120K - $180K/yr

Full-time

Re-posted 12 days ago

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are building the data foundation that powers our humanoid robots. The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As we scale, a growing share of that work runs through external vendors, and this role owns those relationships end to end.

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 team. You'll source and select vendors, negotiate the commercials, set and enforce SLAs, and stand up the calibration and audit processes that keep external work on standard. When a project rotates to external support, you are the senior owner of that delivery, and the Project Coordinators on it work through you.

Responsibilities: 

  • Own the full external vendor portfolio for Data Quality: sourcing, evaluation, onboarding, and offboarding of data labeling and review partners.
  • Negotiate commercial terms, statements of work, and contracts, and manage pricing, budgets, and surge capacity across vendors.
  • Set and enforce SLAs and acceptance criteria; hold every vendor to the same golden set and audit bar as the in-house team.
  • Serve as the senior owner when a project rotates to external support, directing the Project Coordinators running that work.
  • Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA adherence, reviewed in regular business reviews.
  • Stand up calibration exercises and golden set checks with each vendor so external output matches internal standards.
  • Partner with engineering and ML stakeholders to translate data quality requirements into vendor-ready guidelines and specs.
  • Plan capacity and ramp with vendors to meet project timelines, including surge needs and new regions.
  • Coordinate with internal Project Coordinators and leadership on which projects rotate to which vendors and when.

Requirements:

  • 6+ years in data quality, data labeling operations, vendor or partner management, or ML data operations, with end-to-end ownership of vendor relationships or major workstreams.
  • Direct experience selecting, contracting, and managing external data vendors, including defining and enforcing SLAs.
  • A track record negotiating commercial terms (pricing, SOWs, capacity) and running vendor business reviews.
  • Experience setting quality standards, acceptance criteria, and audit or calibration processes that external teams executed against.
  • Comfort working with engineering and ML stakeholders to translate technical requirements into operational guidance.
  • Leadership across people you both do and do not directly manage, including coordinators running work on your vendors.

Bonus Qualifications: 

  • Experience scaling a multi-vendor or multi-region labeling operation.
  • Experience with golden set / ground truth construction.
  • Background in robotics, autonomous systems, LLM, or physical AI data.
  • Experience standing up new vendor operations in international or lower-cost markets.

The US base salary range for this full-time position is between $120,000 - $180,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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