Data Management Analyst Jobs at Google with Visa Sponsorship
Data Management Analyst jobs at Google sit at the intersection of large-scale data infrastructure and business intelligence, requiring strong SQL, data pipeline, and governance skills. Google has a well-established process for sponsoring work visas across multiple categories for this function, making it a realistic target for international candidates.
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Get Access To All JobsMinimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, Operations, a related technical field, or equivalent practical experience.
- 8 years of experience in quality engineering or systems architecture for software as a medical device or digital health products.
- Experience in ISO 13485, ISO 14971, and IEC 62304 requirements and building automated quality management system processes.
Preferred qualifications:
- Advanced degree in a relevant technical, or quality discipline.
- Experience with Large Language Models (LLMs), prompt engineering, or designing AI-agent architectures.
- Experience defending novel software quality approaches during audits or inspections by Notified Bodies or the US FDA.
- Experience engaging with global health authorities or standards bodies to influence the development of AI-specific international standards.
- Exceptional cross-functional leadership skills, with a track record of managing cultural shifts towards automation and influencing engineering teams to adopt new quality paradigms.
About the job
The Digital Health Regulatory Quality and Strategy (DHRQS) team serves as the advisors helping Google navigate the complex and evolving global health regulatory landscape. Our team is at the forefront of defining how AI can safely and effectively transform healthcare. We focus on three primary pillars. We provide the regulatory strategy and operational infrastructure to help product teams across Google build and launch regulated products globally. We safeguard Google’s core platforms and general-purpose models from being unintentionally regulated or exposed to liability, ensuring a clear separation between regulated features and core business services and we actively engage with global health authorities to shape international standards and national policies, ensuring AI regulations balance innovation with safety. In this role, you will operate at the nexus of the health ecosystem, technological advancement, and regulatory expertise to steer Google’s platforms in supporting billions of individuals throughout their health experiences. You will work with the engineers and product builders along with clinicians who are passionate about applying technology in health.
Google for Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits
Responsibilities
- Participate in development of the most efficient way to use QMS to meet regulatory expectations.
- Create a system that can meet audit ready standards. Simplify design controls so they provide the least amount of friction to the developers and development pathways.
- Reimagine how QMS can be achieved using to meet the compliance requirement.
- Participate in experimenting approaches for capturing software changes, design controls to comply with regulatory requirements.
- Show the defensibility and reliability of QMS data to internal stakeholders and external health authorities and auditors.
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.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, Operations, a related technical field, or equivalent practical experience.
- 8 years of experience in quality engineering or systems architecture for software as a medical device or digital health products.
- Experience in ISO 13485, ISO 14971, and IEC 62304 requirements and building automated quality management system processes.
Preferred qualifications:
- Advanced degree in a relevant technical, or quality discipline.
- Experience with Large Language Models (LLMs), prompt engineering, or designing AI-agent architectures.
- Experience defending novel software quality approaches during audits or inspections by Notified Bodies or the US FDA.
- Experience engaging with global health authorities or standards bodies to influence the development of AI-specific international standards.
- Exceptional cross-functional leadership skills, with a track record of managing cultural shifts towards automation and influencing engineering teams to adopt new quality paradigms.
About the job
The Digital Health Regulatory Quality and Strategy (DHRQS) team serves as the advisors helping Google navigate the complex and evolving global health regulatory landscape. Our team is at the forefront of defining how AI can safely and effectively transform healthcare. We focus on three primary pillars. We provide the regulatory strategy and operational infrastructure to help product teams across Google build and launch regulated products globally. We safeguard Google’s core platforms and general-purpose models from being unintentionally regulated or exposed to liability, ensuring a clear separation between regulated features and core business services and we actively engage with global health authorities to shape international standards and national policies, ensuring AI regulations balance innovation with safety. In this role, you will operate at the nexus of the health ecosystem, technological advancement, and regulatory expertise to steer Google’s platforms in supporting billions of individuals throughout their health experiences. You will work with the engineers and product builders along with clinicians who are passionate about applying technology in health.
Google for Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits
Responsibilities
- Participate in development of the most efficient way to use QMS to meet regulatory expectations.
- Create a system that can meet audit ready standards. Simplify design controls so they provide the least amount of friction to the developers and development pathways.
- Reimagine how QMS can be achieved using to meet the compliance requirement.
- Participate in experimenting approaches for capturing software changes, design controls to comply with regulatory requirements.
- Show the defensibility and reliability of QMS data to internal stakeholders and external health authorities and auditors.
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.
See all 37+ Data Management Analyst Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Management Analyst Jobs at Google.
Get Access To All JobsTips for Finding Data Management Analyst Jobs at Google
Align your credentials to Google's data stack
Google's Data Management Analyst roles consistently require proficiency in BigQuery, SQL, and Looker. Document hands-on experience with these tools explicitly in your resume so recruiters and USCIS reviewers see a clear match between your background and the specialty occupation definition.
Target Google's recruiting cycles strategically
Google runs structured hiring cycles that align with H-1B cap season. Applying in October through January puts you on a timeline where an offer can translate into an April H-1B filing, avoiding a full extra year of waiting if you miss the lottery window.
Understand which visa Google will file for you
Australian citizens should confirm with the recruiter whether Google will file an E-3 visa instead of H-1B, since E-3 has no lottery and can be filed year-round. This distinction matters enormously for your timeline and should be clarified before you accept an offer.
Verify Google's LCA wage levels before negotiating
Google files Labor Condition Applications with the DOL before submitting H-1B petitions, locking in a prevailing wage tier. Reviewing public LCA disclosure data for your job title and work location lets you negotiate compensation that meets or exceeds that certified wage level.
Build a data governance portfolio before interviewing
Google's data management interviews frequently test knowledge of metadata standards, data quality frameworks, and access controls. A documented portfolio showing you've designed or maintained data governance policies strengthens both your interview performance and your employer's specialty occupation case to USCIS.
Use Migrate Mate to find open roles efficiently
Filtering for Data Management Analyst positions at companies actively sponsoring H-1B or E-3 visas saves weeks of manual research. Migrate Mate surfaces these roles directly, so you spend time preparing applications rather than guessing which employers have an active sponsorship track record.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Management Analysts?
Yes, Google sponsors H-1B visas for Data Management Analyst roles. The role typically qualifies as a specialty occupation under USCIS criteria given the degree-level technical requirements in data engineering, analytics, or a related field. Google has dedicated immigration counsel that manages the H-1B petition process, including the annual cap lottery filing in April and premium processing when timelines require it.
Which visa types does Google sponsor for Data Management Analyst roles?
Google sponsors H-1B visas for most international candidates in this role. Australian citizens are eligible for the E-3 visa, which has no annual lottery and can be initiated year-round, making it a faster path. Candidates already holding L-1 visa status through an internal transfer, or O-1 visa status for those with demonstrated expertise, may also be supported depending on individual circumstances.
What qualifications does Google expect for Data Management Analyst roles?
Google typically expects a bachelor's degree or higher in computer science, information systems, statistics, or a closely related field. Practical experience with SQL, BigQuery, data pipeline tools, and data governance frameworks is heavily weighted. For visa sponsorship purposes, your degree must align directly with the role's technical requirements, which USCIS uses to evaluate the specialty occupation standard.
How do I apply for Data Management Analyst jobs at Google?
Applications go through Google's careers portal, where roles are listed by team and location. The process typically includes a recruiter screen, technical assessments covering SQL and data modeling, and structured panel interviews. Migrate Mate lists open Data Management Analyst positions at Google that have an active sponsorship track record, helping you identify and apply to relevant roles without manually sifting through job boards.
How do I plan my timeline around Google's H-1B sponsorship process?
H-1B cap petitions are filed in April for an October 1 start date, so receiving an offer from Google by late February gives enough runway for registration and preparation. If you're on OPT, your 60-day grace period begins when employment ends, not when it's approved, so securing an offer with sufficient lead time before your OPT expires is critical. USCIS premium processing can reduce adjudication to roughly 15 business days if your start date is urgent.