Data Science Manager Visa Sponsorship Jobs in Minnesota
Data science manager roles in Minnesota are concentrated in the Twin Cities, where employers like UnitedHealth Group, Target, Best Buy, and 3M actively hire for senior data leadership. The state's strong healthcare analytics and retail tech sectors drive consistent demand, and several of these organizations have established H-1B visa sponsorship track records for qualified international candidates.
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Wells Fargo is seeking an experienced Quantitative Analytics Senior Manager to join the Frontier AI Model Methodology team. The Frontier AI Model Methodology team plays a critical role in developing and productionizing methodologies, AI agents, and systems that transform and accelerate model development and validation at Wells Fargo scale. One of its key functions is to integrate, in close collaboration with Model Risk Officers, these advanced methodologies and AI agents into the overall risk management strategy, ensuring consistency and alignment with enterprise-wide objectives. This synergy enhances the robustness and reliability of models leveraged by the company, strengthens the effectiveness of model validations, and contributes to the continuous improvement of modeling standards and practices across the enterprise.
In this role you will manage, lead and build our Enterprise Model Validation platform, AI agents, and team. You will be responsible for driving automated validation and monitoring of models, while building strategic partnerships with stakeholders including Lines of businesses, technology and model risk management. This role will report to the Head of Frontier AI Model Methodology.
In this role, you will:
- Drive the development and delivery of industry-leading, AI agentic-based model validation, testing, and real-time monitoring capabilities
- Provide leadership and technical expertise in designing and delivering AI agentic solutions and systems on cloud-native environment such as Google Cloud Platform (GCP), enabling real-time processing and large-scale distributed systems.
- Define AI Product requirements and manage the agentic product lifecycle to ensure successful delivery.
- Lead cross-functional collaboration with Technology partners to unlock synergies that accelerate delivery and strengthen execution.
- Demonstrate hands-on leadership by directly contributing to design, development, and execution of solutions alongside teams.
- Partner with the Model Risk and Model Development teams to design and build scalable platforms and agent-based solutions that accelerate real-time model validation, testing and monitoring.
- Develop and guide a culture of talent development to meet business objectives and strategy.
- Manage a team of highly skilled AI scientists and engineers.
Required Qualifications:
- 7+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Prior experience as a hands-on technical leader building Agentic AI systems leveraging GenAI (including Large Language and Reasoning Models)
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Prior experience in AI / ML (including Agentic AI, GenAI, ML) model evaluation, validation, real-time model monitoring
- Experience in Product Development, including developing product roadmaps and go to market plans
- Proven track record in delivering in fast-paced environment
- Proven track record in leading high performing teams
- Proven experience leading and managing teams in Agile development environments (e.g., Scrum, Kanban), including sprint planning, delivery oversight, and continuous improvement.
- Excellent leadership and communication skills with the ability to build effective partnerships with stakeholders
- Strong domain expertise in financial services in delivering AI/ML and emerging AI pilots and aligning product, product value, and platform roadmaps.
- Strong understanding of current and emerging technology landscape (including Agentic AI) supporting the delivery of new generation of model validation system
- Ability to build excellent partnerships with model developers, validators, users, audit, and governance partners
- Success in creating a culture of continuous improvement in efficiency and effectiveness within the team
- Prior experience in financial services or related industry.
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building, 114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
11 Jun 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
About this role:
Wells Fargo is seeking an experienced Quantitative Analytics Senior Manager to join the Frontier AI Model Methodology team. The Frontier AI Model Methodology team plays a critical role in developing and productionizing methodologies, AI agents, and systems that transform and accelerate model development and validation at Wells Fargo scale. One of its key functions is to integrate, in close collaboration with Model Risk Officers, these advanced methodologies and AI agents into the overall risk management strategy, ensuring consistency and alignment with enterprise-wide objectives. This synergy enhances the robustness and reliability of models leveraged by the company, strengthens the effectiveness of model validations, and contributes to the continuous improvement of modeling standards and practices across the enterprise.
In this role you will manage, lead and build our Enterprise Model Validation platform, AI agents, and team. You will be responsible for driving automated validation and monitoring of models, while building strategic partnerships with stakeholders including Lines of businesses, technology and model risk management. This role will report to the Head of Frontier AI Model Methodology.
In this role, you will:
- Drive the development and delivery of industry-leading, AI agentic-based model validation, testing, and real-time monitoring capabilities
- Provide leadership and technical expertise in designing and delivering AI agentic solutions and systems on cloud-native environment such as Google Cloud Platform (GCP), enabling real-time processing and large-scale distributed systems.
- Define AI Product requirements and manage the agentic product lifecycle to ensure successful delivery.
- Lead cross-functional collaboration with Technology partners to unlock synergies that accelerate delivery and strengthen execution.
- Demonstrate hands-on leadership by directly contributing to design, development, and execution of solutions alongside teams.
- Partner with the Model Risk and Model Development teams to design and build scalable platforms and agent-based solutions that accelerate real-time model validation, testing and monitoring.
- Develop and guide a culture of talent development to meet business objectives and strategy.
- Manage a team of highly skilled AI scientists and engineers.
Required Qualifications:
- 7+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Prior experience as a hands-on technical leader building Agentic AI systems leveraging GenAI (including Large Language and Reasoning Models)
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Prior experience in AI / ML (including Agentic AI, GenAI, ML) model evaluation, validation, real-time model monitoring
- Experience in Product Development, including developing product roadmaps and go to market plans
- Proven track record in delivering in fast-paced environment
- Proven track record in leading high performing teams
- Proven experience leading and managing teams in Agile development environments (e.g., Scrum, Kanban), including sprint planning, delivery oversight, and continuous improvement.
- Excellent leadership and communication skills with the ability to build effective partnerships with stakeholders
- Strong domain expertise in financial services in delivering AI/ML and emerging AI pilots and aligning product, product value, and platform roadmaps.
- Strong understanding of current and emerging technology landscape (including Agentic AI) supporting the delivery of new generation of model validation system
- Ability to build excellent partnerships with model developers, validators, users, audit, and governance partners
- Success in creating a culture of continuous improvement in efficiency and effectiveness within the team
- Prior experience in financial services or related industry.
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building, 114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
11 Jun 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Data Science Manager Job Roles in Minnesota
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Search Data Science Manager Jobs in MinnesotaData Science Manager Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data science managers in Minnesota?
UnitedHealth Group and its subsidiary Optum are among the most active H-1B sponsors for data science roles in Minnesota, given their scale in healthcare analytics. Target and Best Buy sponsor data leadership positions tied to their retail and supply chain analytics teams. 3M and Mayo Clinic also appear in Department of Labor disclosure data for data science and analytics management roles.
Which visa types are most common for data science manager roles in Minnesota?
The H-1B is the most common visa for data science managers in Minnesota, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates with an approved I-140 may also work under H-1B extensions beyond the standard six-year limit. Those with extraordinary ability in data science may qualify for the O-1A, though it requires documented national or international recognition.
Which cities in Minnesota have the most data science manager sponsorship jobs?
Minneapolis and Saint Paul account for the large majority of data science manager openings in Minnesota. Minneapolis hosts the corporate headquarters of Target, Best Buy, and several large financial services firms, while the broader Twin Cities metro includes Optum and UnitedHealth Group in Minnetonka. Rochester is a secondary market driven by Mayo Clinic's data and research operations.
How to find data science manager visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data science manager roles in Minnesota without sorting through positions that don't support international candidates. The platform surfaces openings from employers with documented H-1B sponsorship histories in the state, which is particularly useful given that sponsorship willingness varies significantly across Minnesota's healthcare, retail, and technology employers.
Are there any state-specific considerations for data science managers pursuing sponsorship in Minnesota?
Minnesota's data science hiring is heavily shaped by two industries: healthcare analytics, anchored by UnitedHealth Group and Mayo Clinic, and retail technology, driven by Target and Best Buy. Both sectors tend to require advanced degrees for manager-level roles, which can strengthen an H-1B specialty occupation determination. The University of Minnesota also produces a pipeline of data science graduates, meaning employer familiarity with sponsorship for this role type is generally higher than in less established tech markets.
What is the prevailing wage for sponsored data science manager 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.