Senior Data Science Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's senior data science engineer market is anchored by employers like UnitedHealth Group, Target, and 3M, all of which have active H-1B visa sponsorship histories. The Twin Cities metro, particularly Minneapolis and Saint Paul, holds the majority of openings, with additional activity in Rochester tied to Mayo Clinic's growing analytics division.
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Get Access To All JobsINTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare & Retirement business. This role partners closely with senior business leaders to uncover high-impact opportunities where AI [Data Science, Machine learning and Agentic AI] can materially improve cost, operational efficiency, and member outcomes, and to translate those opportunities into funded, enterprise-scale initiatives.
This leader curates and prioritizes a portfolio of AI use cases, defines clear value propositions and success metrics, and builds executive-ready proposals grounded in business value, risk, and feasibility. The role requires strong executive presence to influence investment decisions, secure funding, and champion initiatives from concept through approval and scaled delivery.
Primary Responsibilities:
- Define and lead AI/ML strategy for Medicare & Retirement, driving end-to-end AI enabled software delivery aligned to business transformation with measurable outcomes
- Partners with business leaders to identify and shape high impact opportunities where AI can drive transformative outcomes. Develops executive ready use cases with clear value propositions and presents them to senior leadership to secure alignment and funding. Requires strong business acumen, executive presence, and the ability to position AI as a lever for transformation—not just technology
- Own end-to-end lifecycle delivery of Software Engineering - from problem framing and design through development, deployment, scaling, and optimization of production grade Data Science, Machine learning and Agentic AI solutions
- Provide end-to-end technical leadership for building AI-native applications integrating AI/ML within core application architecture, data strategy, model development, and develop core products, ensuring scalable, secure, and resilient production-ready systems
- Embed responsible and secure AI practices across the delivery lifecycle, including governance, fairness, transparency, compliance, and adherence while adhering to enterprise security standards
- Build and lead high performing greenfield AI engineering teams, fostering a culture of innovation, continuous learning, team mentorship and engineering excellence
- Partner cross-functionally across product, finance, compliance, infrastructure, security, and business leaders to deliver integrated, enterprise-aligned AI solutions
- Communicate AI strategy, delivery progress, and business impact with clarity and executive presence to senior leadership and board level stakeholders
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
BASIC QUALIFICATIONS
- 15+ years of experience in IT industry
- 8+ years of enterprise leadership experience defining strategy, architecture, and delivery across multiple teams
- 4+ years of experience in Senior Director / VP level positions, leading large-scale applied AI/ML engineering organizations (30 to 100+ team consisting of engineers, data scientists, and ML engineers, across shores) delivering Data Science, Machine learning and Agentic AI solutions end-to-end production software platforms
- Proven success building and operating AI enabled software products, from full stack application development to AI/ML integrated solution with $15M+ annual budgets in healthcare or similarly regulated environments
- Solid business acumen with ability to link AI investments to ROI, risk, and strategic outcomes
- Demonstrated executive communication skills and ability to influence funding and prioritization decisions
PREFERRED QUALIFICATIONS
- Deep domain expertise in healthcare and regulatory frameworks
- Demonstrated success in scaling GenAI and enterprise-grade ML capabilities across large enterprises
- Solid understanding of Medicare regulatory needs including data governance, privacy, and HIPAA compliance
- Proficiency in solving combinatorial optimization challenges through AI, and integrating them into mainstream solutions
COMPENSATION
- Salary Range: $159,300 to $273,200 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare & Retirement business. This role partners closely with senior business leaders to uncover high-impact opportunities where AI [Data Science, Machine learning and Agentic AI] can materially improve cost, operational efficiency, and member outcomes, and to translate those opportunities into funded, enterprise-scale initiatives.
This leader curates and prioritizes a portfolio of AI use cases, defines clear value propositions and success metrics, and builds executive-ready proposals grounded in business value, risk, and feasibility. The role requires strong executive presence to influence investment decisions, secure funding, and champion initiatives from concept through approval and scaled delivery.
Primary Responsibilities:
- Define and lead AI/ML strategy for Medicare & Retirement, driving end-to-end AI enabled software delivery aligned to business transformation with measurable outcomes
- Partners with business leaders to identify and shape high impact opportunities where AI can drive transformative outcomes. Develops executive ready use cases with clear value propositions and presents them to senior leadership to secure alignment and funding. Requires strong business acumen, executive presence, and the ability to position AI as a lever for transformation—not just technology
- Own end-to-end lifecycle delivery of Software Engineering - from problem framing and design through development, deployment, scaling, and optimization of production grade Data Science, Machine learning and Agentic AI solutions
- Provide end-to-end technical leadership for building AI-native applications integrating AI/ML within core application architecture, data strategy, model development, and develop core products, ensuring scalable, secure, and resilient production-ready systems
- Embed responsible and secure AI practices across the delivery lifecycle, including governance, fairness, transparency, compliance, and adherence while adhering to enterprise security standards
- Build and lead high performing greenfield AI engineering teams, fostering a culture of innovation, continuous learning, team mentorship and engineering excellence
- Partner cross-functionally across product, finance, compliance, infrastructure, security, and business leaders to deliver integrated, enterprise-aligned AI solutions
- Communicate AI strategy, delivery progress, and business impact with clarity and executive presence to senior leadership and board level stakeholders
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
BASIC QUALIFICATIONS
- 15+ years of experience in IT industry
- 8+ years of enterprise leadership experience defining strategy, architecture, and delivery across multiple teams
- 4+ years of experience in Senior Director / VP level positions, leading large-scale applied AI/ML engineering organizations (30 to 100+ team consisting of engineers, data scientists, and ML engineers, across shores) delivering Data Science, Machine learning and Agentic AI solutions end-to-end production software platforms
- Proven success building and operating AI enabled software products, from full stack application development to AI/ML integrated solution with $15M+ annual budgets in healthcare or similarly regulated environments
- Solid business acumen with ability to link AI investments to ROI, risk, and strategic outcomes
- Demonstrated executive communication skills and ability to influence funding and prioritization decisions
PREFERRED QUALIFICATIONS
- Deep domain expertise in healthcare and regulatory frameworks
- Demonstrated success in scaling GenAI and enterprise-grade ML capabilities across large enterprises
- Solid understanding of Medicare regulatory needs including data governance, privacy, and HIPAA compliance
- Proficiency in solving combinatorial optimization challenges through AI, and integrating them into mainstream solutions
COMPENSATION
- Salary Range: $159,300 to $273,200 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Senior Data Science Engineer Job Roles in Minnesota
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Search Senior Data Science Engineer Jobs in MinnesotaSenior Data Science Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Minnesota?
UnitedHealth Group, Target, Best Buy, 3M, and Mayo Clinic are among the Minnesota employers with documented H-1B sponsorship histories for data science roles. Financial services firms like U.S. Bancorp and Ameriprise also file sponsorship petitions for senior-level data engineering positions. Sponsorship availability varies by team, headcount, and fiscal year, so confirming directly with a recruiter during the hiring process is advisable.
Which visa types are most common for senior data science engineer roles in Minnesota?
The H-1B is the most common visa category for senior data science engineer positions in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Some candidates, particularly those with Canadian or Mexican citizenship, may be eligible for the TN visa under the NAFTA/USMCA engineer or computer systems analyst categories.
Which cities in Minnesota have the most senior data science engineer sponsorship jobs?
The Minneapolis-Saint Paul metro accounts for the large majority of senior data science engineer sponsorship activity in Minnesota, driven by the concentration of Fortune 500 headquarters and large healthcare and retail companies. Rochester is a secondary hub due to Mayo Clinic's expanding data and AI teams. Bloomington and Minnetonka, both suburban Twin Cities locations, also appear frequently in H-1B disclosure data tied to healthcare and financial services employers.
How to find senior data science engineer visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior data science engineer roles in Minnesota without having to manually screen each posting. Because sponsorship willingness is often omitted from standard job descriptions, a dedicated sponsorship-focused platform saves significant time. Filtering by Minnesota state on Migrate Mate surfaces relevant openings at employers with active sponsorship histories in this market.
Are there any Minnesota-specific factors that affect visa sponsorship for senior data science engineers?
Minnesota's high concentration of healthcare and retail employers shapes the sponsorship market for senior data science engineers. Healthcare companies like UnitedHealth Group and Mayo Clinic operate large internal analytics teams and have long sponsorship track records, which can mean more structured immigration processes than smaller startups. The University of Minnesota also produces a pipeline of international graduate students in data-related fields, meaning local employers are generally familiar with OPT-to-H-1B transitions at the senior engineer level.
What is the prevailing wage for sponsored senior data science engineer jobs in Minnesota?
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.