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Data Quality Consultant Jobs (NOW HIRING)

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... Background in consulting, engineering, operations, or other roles that demonstrate strong first ...

Data Quality & BI Consultant

Charlotte, NC ยท On-site

$47 - $64.25/hr

In the assigned Job Role of Domain Consultant 2, your Area Of Responsibility will be as below: โ€ข ... implementing Data Quality rules, metrics, scorecards, and dashboards โ€ข Experience in ETL ...

Clinical Quality Consultant

Hollywood, NM ยท On-site

$75K - $128K/yr

Presbyterian is seeking a dedicated Clinical Quality Consultant to join our team at Lincoln County ... Support programlevel performance improvement by analyzing data, identifying trends, and ...

$75K - $128K/yr

Clinical Quality Consultant, Intermediate, is responsible for assisting with the analysis, planning ... Analysis and management of clinical quality data including identifying critical performance issues ...

... IT staffing/consulting company. Procom's areas of staffing expertise include: Application ... Data Quality Analyst Job Details Responsibility : Define, Design, and Build Data quality management ...

Clinical Quality Consultant

Newton, MA ยท Remote

$91K - $163K/yr

This position leads quality improvement initiatives, analyzes healthcare data, and partners across the organization to drive performance on HEDIS, Star Ratings, CAHPS, and state quality programs.

Clinical Quality Consultant

Newton, MA ยท On-site

$91K - $163K/yr

This position leads quality improvement initiatives, analyzes healthcare data, and partners across the organization to drive performance on HEDIS, Star Ratings, CAHPS, and state quality programs.

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Data Quality Consultant information

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How much do data quality consultant jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data quality consultant in the United States is $38.08, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $50.48 per hour, depending on experience, location, and employer.

What is a data quality consultant?

A Data Quality Consultant is a professional who specializes in assessing, improving, and maintaining the quality of data within an organization. They analyze data processes, identify inconsistencies or errors, and recommend strategies to ensure data accuracy, completeness, and reliability. These consultants often implement data governance policies, perform data cleansing, and help organizations comply with data standards and regulations. Their work is essential for organizations that rely heavily on data-driven decision making.

What are some common challenges data quality consultants face when implementing data governance frameworks?

Data Quality Consultants often encounter challenges such as resistance to change from stakeholders, inconsistent data standards across departments, and legacy systems with poor documentation. Successfully implementing a data governance framework requires strong communication skills and the ability to bridge gaps between technical teams and business users. Consultants must also prioritize issues and develop tailored solutions that balance organizational goals with practical data quality improvements.

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

AspectData Quality ConsultantData Analyst
Primary FocusImproving data accuracy, consistency, and integrity across systemsAnalyzing data sets to identify trends, patterns, and insights
Skills & CertificationsData management, data governance, SQL, certifications like CDMPData analysis, visualization, SQL, Excel, statistical tools
Work EnvironmentData governance teams, IT departments, consulting firmsBusiness units, analytics teams, reporting departments

While both roles work with data, a Data Quality Consultant focuses on ensuring data accuracy and integrity, often across multiple systems, whereas a Data Analyst interprets data to generate insights and support decision-making. The roles are complementary but distinct in their core objectives.

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

To thrive as a Data Quality Consultant, you need a strong understanding of data management principles, data governance, and analytics, often supported by a degree in information systems, computer science, or a related field. Familiarity with tools such as SQL, data profiling software, data quality assessment platforms, and certifications like DAMA or CDMP is typically required. Excellent problem-solving skills, communication, and attention to detail are essential soft skills for collaborating with stakeholders and ensuring data integrity. These skills are vital to ensure organizations can trust their data for strategic decision-making and regulatory compliance.
More about Data Quality Consultant jobs
Who are the top companies hiring for Data Quality Consultant jobs? The top employers for Data Quality Consultant jobs are:
What job categories do people searching Data Quality Consultant jobs look for? The top searched job categories for Data Quality Consultant jobs are:
Infographic showing various Data Quality Consultant job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 5% Part Time, and 30% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $79,207 per year, or $38.1 per hour.

Head of Data Quality

Snorkel AI

New York, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago


Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
Snorkel AI is hiring a Head of Data Quality to build and own the quality system at the heart of our Data-as-a-Service business. Our DaaS business runs a digital data factory: expert human contributors working inside our product to produce customer-specific datasets at scale. The work most closely resembles a high-mix, engineered-to-order manufacturing line - with one defining twist: the spec is a living document. Production starts against an initial spec, calibrates against early samples, and continues to evolve as production ramps. Each pipeline's target is a moving target. You are the person who turns that environment into a system. You will design the end-to-end quality architecture - spanning individual datapoint quality, dataset-level quality, and contributor quality - and ensure that high-quality data production is repeatable, measurable, and improvable at scale. The role is cross-functional by default: you will work across GTM, Delivery, Product, and Engineering, and most of your impact will come through teams you don't directly manage.
This is a Principal IC role to start. You will build and own the system before you build the team. As the function matures, this role is expected to grow into a people-management track. If you've built quality systems from scratch in environments that deliver highly customized work against evolving specifications - whether in pharma, localization, semiconductor manufacturing, aerospace, or AI data - and want to apply that expertise to one of the most important challenges in AI, this is the role.
What You'll Do
  • Establish Snorkel's quality strategy, standards, and operating model across contributors, datasets, and individual data points.
  • Build the processes, metrics, and governance mechanisms that enable quality to be measured, scaled, and continuously improved.
  • Ensure quality is embedded throughout the DaaS lifecycle and reflected in the commitments we make to customers.
  • Define the standards and operating mechanisms that drive high-quality outcomes across contributors, datasets, and engagements.
  • Partner across Supply, Expert Contributor Experience, Product, and Engineering to operationalize and scale quality throughout the business.
  • Leverage data, automation, and AI-assisted workflows to continuously improve quality, efficiency, and customer outcomes.
  • Establish and scale the Quality function, starting as a hands-on builder and evolving the organization, operating model, and team as the business grows.
  • Serve as a champion for Snorkel's quality approach with customers, prospects, and industry audiences, helping position quality as a key differentiator for the business.

What You'll Bring
  • 8+ years of experience in quality, operations, program management, or a related field, with a track record of building or significantly redesigning quality systems in complex, human-in-the-loop environments.
  • Experience defining quality standards, measurement frameworks, and operating processes that drive consistent outcomes at scale.
  • Strong analytical and problem-solving skills, including experience using data to measure performance, identify risks, and drive continuous improvement.
  • Demonstrated ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams.
  • Excellent communication and stakeholder management skills, with the ability to operate effectively from executive discussions through day-to-day execution.
  • Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up.
  • Experience may come from AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.

Bonus Points for:
  • Experience building or scaling quality programs for AI data, model evaluation, or other human-in-the-loop AI workflows.
  • Familiarity with AI-assisted quality methods, including LLM-as-judge, automated review systems, or other model-assisted approaches.
  • Experience operating in environments with evolving requirements, complex task types, or rapidly changing definitions of quality.
  • Background in consulting, engineering, operations, or other roles that demonstrate strong first-principles thinking and problem solving.
  • Master's degree in a relevant field, or an MBA with an operations or quality focus

Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, New York, and Seattle and is $280,000-$350,000. All offers include equity compensation in the form of employee stock options.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.