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Data Quality Manager Jobs in Washington (NOW HIRING)

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

... management and data architecture to analyze data, and identify bottlenecks, design flaws, and ... quality issues.Leverage knowledge of defense and intelligence-related data source content to apply ...

Goodwin

Manager, Data Management

Washington, DC

The Manager, Data Management is responsible for establishing and operationalizing a firm-wide data ... This role owns data quality standards, measurement frameworks, and operating processes, while ...

Chenega MIOS SBU

Data Manager / Curator

Arlington, VA · On-site

The role involves managing enterprise data sets, ensuring data quality, and supporting data governance initiatives. Responsibilities : • Manage enterprise data sets and metadata documentation. • ...

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Data Quality Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data quality manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data quality manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Quality Manager, you need a strong background in data management, data governance, and analytical skills, usually supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or SQL), data profiling techniques, and relevant certifications like CDMP are typically expected. Excellent communication, problem-solving abilities, and leadership skills help in collaborating with cross-functional teams and driving data quality initiatives. These skills ensure accurate, reliable data which is critical for informed business decision-making and regulatory compliance.

Is data quality a good career?

Data Quality Managers play a crucial role in ensuring the accuracy, consistency, and reliability of data within organizations. The field offers strong job growth, competitive salaries, and opportunities to work with data management tools and standards, making it a valuable career choice for those interested in data integrity and analytics.

What are the most common challenges a data quality manager faces when implementing data governance initiatives?

Data Quality Managers often encounter challenges such as gaining cross-departmental buy-in, standardizing data definitions, and addressing inconsistent data entry practices. Successfully implementing data governance requires close collaboration with IT, business analysts, and leadership to align on data standards and processes. Additionally, managing change and ensuring ongoing user training are critical, as stakeholders may be resistant to new data policies or tools. Addressing these challenges proactively helps to build a culture of data ownership and accountability across the organization.

What is the role of a data quality manager?

A data quality manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop data standards, implement quality control processes, and use tools like data profiling and validation to maintain high data integrity. This role often requires strong analytical skills and knowledge of data management software.

What does a data quality manager do?

A Data Quality Manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality standards, monitor data integrity, and work closely with data analysts, IT teams, and business units to resolve data issues. Their goal is to ensure that data used for business decisions is trustworthy and meets regulatory and organizational requirements. This role often involves leading data governance initiatives and managing data quality improvement projects.

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

AspectData Quality ManagerData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity across systemsAnalyzing data to identify trends, patterns, and insights
Required SkillsData governance, quality control, database managementStatistical analysis, data visualization, reporting tools
CertificationsData Management certifications (CDMP, DAMA), SQLData analysis certifications (CAP, Microsoft Certified Data Analyst)
Work EnvironmentData governance teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments

While both roles work with data, the Data Quality Manager focuses on maintaining data standards and quality assurance, whereas the Data Analyst interprets data to support business decisions. They often collaborate but serve different functions within organizations.

What are the most commonly searched types of Data Quality jobs in Washington? The most popular types of Data Quality jobs in Washington are:
What are popular job titles related to Data Quality Manager jobs in Washington? For Data Quality Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Quality Manager jobs in Washington look for? The top searched job categories for Data Quality Manager jobs in Washington are:
What cities in Washington are hiring for Data Quality Manager jobs? Cities in Washington with the most Data Quality Manager job openings:
Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $110,026 per year, or $52.9 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 14 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.