Data Management Analyst Visa Sponsorship Jobs in Washington DC
Data management analyst roles in Washington DC are concentrated among federal contractors, government agencies, and policy-focused organizations such as Booz Allen Hamilton, Deloitte Federal, and Leidos. The region's heavy reliance on data governance, compliance, and intelligence programs creates consistent demand, with many employers actively filing H-1B visa and related work visa sponsorships for qualified candidates.
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Get Access To All JobsINTRODUCTION
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
Google is committed to building products that are both innovative and safe for our users. Our Trust and Safety Responsible AI Testing team is at the heart of this effort, protecting the integrity of our platforms by delivering actionable and objective content abuse insights.
Within the RAI Testing SCALE team, we're driving a transformation in how we approach AI testing by shifting toward a highly scalable, automated model. We partner closely with subject matter experts across Trust & Safety, product, and engineering to operationalize their domain expertise into robust testing frameworks. By building self-service infrastructure that empowers product teams to autonomously meet standard safety bars, we are able to focus our specialized expertise on executing high-risk, bespoke evaluations and pioneering tests for novel AI paradigms. Together, we integrate AI and automation to turn safety insights into action. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
ROLE AND RESPONSIBILITIES
- Leverage SQL and Python to embed self-service frameworks and automated evaluation systems into developer pipelines, enabling product teams to run standard evaluations autonomously.
- Act as the operational executor for complex, high-risk, and bespoke strategic evaluations, bridging the gap between defining safety quality and enforcing it.
- Partner with cross-functional stakeholders—including engineering teams, policy experts, and launch leadership—to develop and own intake triage and handoff governance protocols.
- Develop, maintain, and execute automated quality rubrics across testing services to ensure actionable results. Drive initiatives to significantly increase the use of automated evaluations and optimize operational resource allocation.
- Work autonomously to identify and solve problems and collaborate effectively within a team to develop comprehensive solutions. This role works with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting topics or content.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- 5 years of experience with machine learning systems.
- Excellent written and verbal communication skills.
COMPENSATION
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
Google is committed to building products that are both innovative and safe for our users. Our Trust and Safety Responsible AI Testing team is at the heart of this effort, protecting the integrity of our platforms by delivering actionable and objective content abuse insights.
Within the RAI Testing SCALE team, we're driving a transformation in how we approach AI testing by shifting toward a highly scalable, automated model. We partner closely with subject matter experts across Trust & Safety, product, and engineering to operationalize their domain expertise into robust testing frameworks. By building self-service infrastructure that empowers product teams to autonomously meet standard safety bars, we are able to focus our specialized expertise on executing high-risk, bespoke evaluations and pioneering tests for novel AI paradigms. Together, we integrate AI and automation to turn safety insights into action. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
ROLE AND RESPONSIBILITIES
- Leverage SQL and Python to embed self-service frameworks and automated evaluation systems into developer pipelines, enabling product teams to run standard evaluations autonomously.
- Act as the operational executor for complex, high-risk, and bespoke strategic evaluations, bridging the gap between defining safety quality and enforcing it.
- Partner with cross-functional stakeholders—including engineering teams, policy experts, and launch leadership—to develop and own intake triage and handoff governance protocols.
- Develop, maintain, and execute automated quality rubrics across testing services to ensure actionable results. Drive initiatives to significantly increase the use of automated evaluations and optimize operational resource allocation.
- Work autonomously to identify and solve problems and collaborate effectively within a team to develop comprehensive solutions. This role works with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting topics or content.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- 5 years of experience with machine learning systems.
- Excellent written and verbal communication skills.
COMPENSATION
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Data Management Analyst Job Roles in Washington DC
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Search Data Management Analyst Jobs in Washington DCData Management Analyst Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for data management analysts in Washington DC?
Federal contractors and consulting firms are the most active sponsors in the DC area. Companies like Booz Allen Hamilton, Leidos, SAIC, Deloitte, and Accenture Federal Services regularly file H-1B petitions for data management analyst roles. Government-adjacent technology firms and think tanks such as MITRE and ICF also appear in Department of Labor disclosure data as recurring sponsors for this role type.
Which visa types are most common for data management analyst roles in Washington DC?
The H-1B is the most common visa category for data management analysts in Washington DC, as the role typically qualifies as a specialty occupation requiring a related bachelor's degree or higher. Some employers, particularly those with global operations, also sponsor L-1B intracompany transfers. Candidates with eligible nationalities may also see E-3 visa (Australians) or TN visa (Canadians and Mexicans) sponsorships from qualifying employers.
How to find data management analyst visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for data management analyst roles in Washington DC without sorting through positions that don't sponsor. You can narrow results by location and role type to surface relevant openings from federal contractors, consulting firms, and government-adjacent employers who are actively hiring and willing to file work visa petitions.
Which areas in Washington DC have the most data management analyst sponsorship jobs?
Most sponsorship activity for data management analysts concentrates in the greater DC metropolitan area, including Northern Virginia cities like Arlington, McLean, and Reston, which host major federal contractor headquarters. The DC proper downtown corridor, particularly around Foggy Bottom and Capitol Hill, also has strong demand driven by federal agencies, nonprofits, and policy organizations with active data programs.
Are there any DC-specific considerations for data management analysts pursuing visa sponsorship?
Washington DC's job market for data management analysts is heavily shaped by federal contracting cycles and security clearance requirements. Some positions require or prefer candidates who can obtain a clearance, which can affect sponsorship eligibility since clearances are generally unavailable to non-U.S. persons. Focusing on roles at firms that explicitly sponsor visas and do not list clearance as a requirement is the most practical approach for international candidates.
What is the prevailing wage for sponsored data management analyst jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.