Data Contributor Jobs at Google with Visa Sponsorship
Data Contributor jobs at Google sit at the intersection of large-scale data pipelines, annotation workflows, and product quality, spanning teams in Search, Maps, and AI. Google has a strong track record of sponsoring international talent for this function across H-1B visa, H-1B1 visa, and E-3 visa categories.
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Get Access To All JobsINTRODUCTION
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
In this role, you will lead the daily operations of Play Data Science and Analytics. You will act as a trusted advisor to ensure alignment with partner organizations and maximize impact through operational efficiency. You will facilitate executive-level communication and decision-making, orchestrate cross-functional initiatives, and manage key initiatives.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $309000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple cross-functional programs or projects.
PREFERRED QUALIFICATIONS
- MBA or Master's degree in Computer Science or Data Analytics.
- 10 years of experience in management consulting, data science, data strategy, or governance within a changing, technology-driven environment.
- Understanding of analytics platforms, data analytics and business insights.
- Excellent stakeholder management, operational leadership, executive communications, and the ability to influence cross-functional teams.
Responsibilities
- Plan and facilitate leadership meetings and onsites to formulate priorities, structure goal attainment, and organize quarterly business reviews that ensure delivery against the highest business priorities.
- Partner closely with Data Science, Program Manager (PM), and Engineering leaders on the execution of the AI goal and priorities with emphasis on velocity, resourcing, process, and operational needs.
- Plan and drive operational excellence to define Data Science and Analytics (DSA) priorities, Key Performance Indicators (KPIs), and key initiatives spanning data science and business intelligence in partnership with data engineering teams.
- Cultivate an AI-forward, data-driven team culture by leading cross-organization initiatives, providing regular communications for leads, and facilitating action planning to drive accountability.
- Oversee and execute processes required for budget and headcount management.
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
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
In this role, you will lead the daily operations of Play Data Science and Analytics. You will act as a trusted advisor to ensure alignment with partner organizations and maximize impact through operational efficiency. You will facilitate executive-level communication and decision-making, orchestrate cross-functional initiatives, and manage key initiatives.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $309000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple cross-functional programs or projects.
PREFERRED QUALIFICATIONS
- MBA or Master's degree in Computer Science or Data Analytics.
- 10 years of experience in management consulting, data science, data strategy, or governance within a changing, technology-driven environment.
- Understanding of analytics platforms, data analytics and business insights.
- Excellent stakeholder management, operational leadership, executive communications, and the ability to influence cross-functional teams.
Responsibilities
- Plan and facilitate leadership meetings and onsites to formulate priorities, structure goal attainment, and organize quarterly business reviews that ensure delivery against the highest business priorities.
- Partner closely with Data Science, Program Manager (PM), and Engineering leaders on the execution of the AI goal and priorities with emphasis on velocity, resourcing, process, and operational needs.
- Plan and drive operational excellence to define Data Science and Analytics (DSA) priorities, Key Performance Indicators (KPIs), and key initiatives spanning data science and business intelligence in partnership with data engineering teams.
- Cultivate an AI-forward, data-driven team culture by leading cross-organization initiatives, providing regular communications for leads, and facilitating action planning to drive accountability.
- Oversee and execute processes required for budget and headcount management.
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 57+ Data Contributor Jobs at Google
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Get Access To All JobsTips for Finding Data Contributor Jobs at Google
Tailor your resume to Google's data annotation standards
Google's Data Contributor roles emphasize structured data evaluation, quality rater guidelines, and taxonomy work. Highlight experience with labeling tools, inter-rater reliability, and any work tied to natural language or geospatial data to align with what their recruiting teams screen for.
Target roles listed under Google's staffing vendors
Many Data Contributor positions at Google are posted through third-party staffing partners rather than directly on Google Careers. Search for these contingent roles specifically, since sponsorship eligibility can differ from full-time headcount positions and the hiring timeline moves faster.
Clarify your visa category eligibility before applying
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this function. If you're Australian, the E-3 has no lottery and can be filed any time of year. Confirm which category you qualify for before your first recruiter screen so you're not caught unprepared on the sponsorship question.
Understand Google's LCA filing timeline for your start date
Google files the Labor Condition Application with DOL before submitting your H-1B petition to USCIS. The LCA must be certified first, which typically takes seven business days. Factor this into your expected start date conversation during offer negotiation so there are no surprises.
Use Migrate Mate to filter open Data Contributor roles at Google by visa type
Google posts Data Contributor openings across multiple teams and locations simultaneously. Use Migrate Mate to filter by visa sponsorship type and role function so you're applying to positions that match both your qualifications and your immigration status requirements.
Prepare for Google's structured hiring process before your technical screen
Data Contributor interviews at Google often include a judgment task simulating real annotation or evaluation work, scored against internal rubrics. Reviewing Google's publicly available Search Quality Rater Guidelines gives you direct insight into the framework their evaluators use.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Contributors?
Yes, Google sponsors H-1B visas for Data Contributor roles. Because the H-1B is subject to an annual lottery with a April 1 filing window, your petition needs to be submitted well ahead of your intended start date. Google's immigration team coordinates the USCIS filing process once you have a signed offer, but you should confirm sponsorship eligibility explicitly during the offer stage.
Which visa types does Google commonly sponsor for Data Contributor roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Contributor positions. The H-1B1 is available to Chilean and Singaporean nationals, while the E-3 is exclusive to Australian citizens. Both the H-1B1 and E-3 bypass the H-1B lottery entirely, making them faster and more predictable options if you qualify.
What qualifications does Google expect for Data Contributor roles?
Google typically looks for strong analytical judgment, attention to detail, and familiarity with structured data evaluation or content review workflows. Experience with data labeling platforms, quality assurance in tech environments, or linguistic annotation is directly relevant. Some roles require domain expertise in areas like maps, search, or multilingual content, so reviewing the specific job description carefully is essential.
How do I apply for Data Contributor jobs at Google?
You can find Data Contributor openings on Google Careers directly, or browse sponsorship-verified listings through Migrate Mate, which filters roles by visa type so you can confirm sponsorship availability upfront. Applying early matters because Google's interview pipeline for Data Contributor roles can take four to eight weeks from application to offer, and visa filing timelines add additional lead time after that.
How do I understand the timeline from offer to visa approval at Google?
After accepting an offer, Google's immigration team initiates the LCA filing with the DOL, which is certified within roughly seven business days. For H-1B petitions, USCIS standard processing runs three to five months, with premium processing available to cut that to 15 business days. E-3 and H-1B1 visa applicants typically go through consular processing, which adds a visa interview step but can resolve faster overall.