J-1 Visa Data Governance Lead Jobs
Data Governance Lead roles in the United States are accessible to international professionals through the J-1 visa, typically under the Trainee or Research Scholar category depending on your career stage. Securing sponsorship requires a U.S. Department of State-designated sponsor organization to issue your DS-2019 before you begin work.
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Get Access To All JobsWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
See all 1,146+ Data Governance Lead jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Governance Lead roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data Governance Lead
Align your credentials to J-1 category requirements
The Trainee category requires a degree and at least one year of relevant experience, or five years of work experience without a degree. Document your data governance background in detail before approaching any designated sponsor.
Identify host employers through targeted job searches
Use Migrate Mate to find U.S. employers actively seeking Data Governance Leads with J-1-compatible roles. Not every employer understands the host-organization model, so filtering for J-1-aware postings saves significant time.
Prepare a structured training plan early
Designated sponsors like Cultural Vistas or AIPT require a detailed Training or Internship Placement Plan (DS-7002) before issuing a DS-2019. Map your proposed data governance work to specific learning objectives, tools, and measurable outcomes in advance.
Check whether your role triggers the two-year home residency rule
Data governance work funded by your home government or involving skills on the Exchange Visitor Skills List may impose a two-year home-country residency requirement. Confirm your situation with your designated sponsor before accepting an offer.
Verify your prospective host employer's site approval status
Your designated sponsor must formally approve the host organization's worksite before your DS-2019 is issued. Confirm the employer is willing to complete the sponsor's host vetting process and sign required agreements during your offer negotiations.
Request wage documentation aligned with DOL prevailing wage standards
While J-1 programs don't require LCA filings like H-1B, your offer must meet fair and reasonable compensation standards. Cross-reference the role's pay against O*NET and OFLC Wage Search data so you can flag any discrepancy before signing.
Data Governance Lead jobs are hiring across the US. Find yours.
Find Data Governance Lead JobsData Governance Lead J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Governance Lead role?
Most experienced professionals in data governance qualify under the Trainee category, which is designed for those applying skills gained through education or prior work experience. If the role is embedded in a university or research institution, the Research Scholar or Specialist category may apply instead. Your designated sponsor makes the final category determination based on your credentials and the host employer's program structure.
Who actually sponsors my J-1 visa for a data governance position?
The visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, AIPT, or IIE. They issue your DS-2019 and oversee compliance throughout your program. The hiring company is your host organization, not your visa sponsor. This distinction matters during negotiations because the employer must agree to the designated sponsor's oversight requirements before your DS-2019 can be issued.
Can I use Migrate Mate to find Data Governance Lead roles with J-1 sponsorship?
Yes. Migrate Mate is built specifically for international professionals searching for U.S. roles that align with visa sponsorship pathways, including J-1. You can filter for data governance positions and identify employers who understand the host-organization model, which significantly narrows your outreach to companies already familiar with the DS-2019 process.
Does the two-year home residency requirement apply to data governance professionals?
It depends on two factors: whether your home government funded your exchange program, and whether your country and skills appear on the Exchange Visitor Skills List maintained by the State Department. Data governance is a technical field that may appear on the skills list depending on your nationality. Confirm your status with your designated sponsor before your DS-2019 is issued, not after, since a waiver process can be lengthy.
What does the DS-7002 training plan need to include for a data governance role?
The DS-7002 is a structured form your designated sponsor requires before issuing the DS-2019. For a Data Governance Lead, it should outline specific learning objectives tied to data cataloging, policy frameworks, metadata management, or compliance workflows, with measurable goals and defined supervision. Vague descriptions of general IT work are routinely rejected. Align each phase of your training plan to concrete deliverables the host employer has already agreed to provide.
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