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Data Quality Program Manager Jobs in Ashburn, VA

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

This role is not a project manager with QC responsibilities - it is a methodology expert who owns the intellectual framework behind data quality on a federal AI program. The right candidate can walk ...

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Oversee delivery quality and risk management across multiple technical workstreams. * Communicate ...

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Oversee delivery quality and risk management across multiple technical workstreams. * Communicate ...

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Oversee delivery quality and risk management across multiple technical workstreams. * Communicate ...

Program Manager

Potomac, MD · On-site

$120K - $170K/yr

NACI AMDEX.ai The Art of Data Science We are a seasoned Full-spectrum data solutions firm. We ... required quality standards, and that they are compliant with relevant program management ...

... 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 ...

... program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls ...

The work strengthens the policies, quality controls, data, records, and reporting used to evaluate ... The Program Manager will oversee approximately 25 professionals providing policy analysis, data ...

New

The Data Manager / Curator supports data governance, data lifecycle management, and data quality initiatives supporting CDAO data programs. Responsibilities * Manage enterprise data sets and metadata ...

The work strengthens the policies, quality controls, data, records, and reporting used to evaluate ... The Program Manager will oversee approximately 25 professionals providing policy analysis, data ...

New

Showing results 41-60

Data Quality Program Manager information

See Ashburn, VA salary details

$31.7K

$99.3K

$175.9K

How much do data quality program manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data quality program manager in Ashburn, VA is $99,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $128,300.00 per year, depending on experience, location, and employer.

What does a data quality program manager do?

A Data Quality Program Manager is responsible for overseeing initiatives that ensure the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality strategies, set standards, and work closely with various teams to monitor and improve data processes. Their role involves identifying data issues, establishing metrics, and leading projects to enhance data governance. By doing so, they help organizations make better, data-driven decisions and comply with regulatory requirements.

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

To thrive as a Data Quality Program Manager, you need expertise in data management, analytics, and governance, often supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica or Talend), experience with SQL databases, and knowledge of data privacy regulations are typically required. Strong leadership, communication, and problem-solving skills help drive cross-functional initiatives and ensure stakeholder alignment. These competencies are crucial for implementing effective data quality strategies that support organizational decision-making and regulatory compliance.

How does a data quality program manager typically collaborate with cross-functional teams to ensure data standards are met?

A Data Quality Program Manager works closely with cross-functional teams such as data engineering, analytics, business operations, and IT to define, implement, and monitor data quality standards. They often facilitate workshops or meetings to gather requirements, align on data definitions, and resolve discrepancies or issues. Effective communication and coordination are essential, as the manager must ensure all stakeholders understand and adhere to agreed-upon data governance processes. Regular reporting and feedback loops help maintain high data quality and enable quick resolution of any issues that arise.

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

AspectData Quality Program ManagerData Analyst
Required CredentialsBachelor's in Data Management, certifications like CDMP or DAMABachelor's in Statistics, Data Science, or related field
Work EnvironmentOversees data quality initiatives across teams, manages data governanceAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in organizations focusing on data integrity and complianceCommon in analytics, business intelligence, and reporting roles

The Data Quality Program Manager focuses on establishing and maintaining data quality standards and governance, while the Data Analyst primarily analyzes data to generate insights. Both roles require strong data skills, but the Program Manager has a broader oversight responsibility for data quality initiatives.

What cities near Ashburn, VA are hiring for Data Quality Program Manager jobs?

Cities near Ashburn, VA with the most Data Quality Program Manager job openings:

Infographic showing various Data Quality Program Manager job openings in Ashburn, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,341 per year, or $47.8 per hour.

QA / Evaluation Lead

Innodata Inc.

Washington, DC • On-site

$45 - $50/hr

Full-time

Re-posted 25 days ago


Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

165th of 247 rated software companies


Job description

About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the QA/Evaluation Lead, you'll own quality and evaluation across the platform. You'll design the evaluation framework that measures whether our data services and outputs meet the bar, build repeatable test and validation processes, and give the team an objective read on readiness at each milestone. Partnering with the Delivery Owner and engineering leads, you'll turn quality from an afterthought into a measurable, demonstrable strength. It's a role for someone who thinks rigorously about evaluation and takes pride in evidence-backed quality.

Key Responsibilities:

  • Design and own the inter-annotator agreement (IAA) methodology for the Phase 1 demonstration corpus - metric selection (Cohen's kappa, Fleiss, Krippendorff's alpha), sampling design, adjudication workflow, and agreement thresholds
  • Define evaluation framework architecture: test and evaluation plans, IAA targets, drift detection gates, and model performance metrics per SOW Section 2.9
  • Configure and operate sampling-based quality control across the self-service and white-glove annotation paths during Phase D corpus production
  • Design and implement confidence-threshold escalation routing from automated annotation to senior-annotator adjudication
  • Validate quality scoring and IAA computation within the Innodata data layer
  • Support AI Solutions Engineer on evaluation design for SAM 2 and Frontier model API validation - define what 'good enough' looks like quantitatively
  • Produce evaluation framework documentation for the Phase 1 NPP closeout package, including per-DataCard documentation with the SA

Must-Have Qualifications:

  • Bachelor's degree in Statistics, Data Science, Computer Science, or related quantitative field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 6+ years total professional experience, 4+ years in data quality, evaluation methodology, or QA on AI/ML programs
  • IAA methodology expertise - Cohen's kappa, Fleiss' kappa, Krippendorff's alpha: hands-on, not theoretical
  • Evaluation framework design for AI/ML training data programs
  • QC process design: sampling methodology, escalation workflows, adjudication protocols
  • Python for QC tooling, metric computation, and statistical analysis
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Prior DoD or IC data quality program experience
  • CVAT or equivalent annotation platform QC workflow configuration
  • Drift detection and model monitoring methodology
  • Experience with FMV / video annotation quality standards

The expected hourly salary range for this position is $45 to $50 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

This role is not a project manager with QC responsibilities - it is a methodology expert who owns the intellectual framework behind data quality on a federal AI program. The right candidate can walk into a meeting with Government evaluators and explain exactly why the evaluation design produces trustworthy labels. That conversation is part of Phase 2 positioning.


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