Data Science Manager Visa Sponsorship Jobs in Illinois
Illinois is a strong market for data science manager roles, with major employers like Allstate, Morningstar, United Airlines, and Tempus AI actively hiring in Chicago. The city's dense concentration of finance, insurtech, and health tech firms creates consistent demand for senior data science leadership, and many of these employers have established visa sponsorship programs.
Find Data Science Manager JobsOverview
Showing 5 of 17+ Data Science Manager Jobs in Illinois with Visa Sponsorship
See all Data Science Manager Jobs in Illinois with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Manager Jobs in Illinois with Visa Sponsorship.
Get Access To All JobsJob Summary
The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value. This role manages data science workstreams focused on customer segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, audience insights, experimentation (A/B testing), and customer-level performance measurement. The Manager integrates large, complex customer datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, strengthen loyalty, inform business decisions, and accelerate growth. As a cross-functional partner to business and analytics leaders, this role helps execute customer analytics strategy, identify opportunities to enhance customer experiences, and build scalable analytical capabilities across the organization.
Job Responsibilities
- Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.
- Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.
- Manages issues proactively, including timely resolution and the identification of remediation opportunities.
- Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
- Keeps abreast of new analytic methodologies and technologies.
- Collaborates with functional business units to drive business solutions and direction.
- Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
- May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.
- Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.
- Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
**Basic Qualifications
Job Summary
The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value. This role manages data science workstreams focused on customer segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, audience insights, experimentation (A/B testing), and customer-level performance measurement. The Manager integrates large, complex customer datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, strengthen loyalty, inform business decisions, and accelerate growth. As a cross-functional partner to business and analytics leaders, this role helps execute customer analytics strategy, identify opportunities to enhance customer experiences, and build scalable analytical capabilities across the organization.
Job Responsibilities
- Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.
- Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.
- Manages issues proactively, including timely resolution and the identification of remediation opportunities.
- Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
- Keeps abreast of new analytic methodologies and technologies.
- Collaborates with functional business units to drive business solutions and direction.
- Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
- May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.
- Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.
- Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
**Basic Qualifications
Data Science Manager Job Roles in Illinois
See all Data Science Manager Jobs in Illinois
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Science Manager Jobs in IllinoisData Science Manager Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for data science managers in Illinois?
Several large Illinois-based employers have a track record of sponsoring work visas for data science managers, including Allstate, Morningstar, United Airlines, Tempus AI, McDonald's (global technology division), and Discover Financial. Consulting firms with major Chicago offices, such as Accenture and Deloitte, also sponsor senior data science roles. Sponsorship frequency and visa type vary by employer, so reviewing each company's LCA filings on the DOL disclosure database gives a clearer picture.
Which visa types are most common for data science manager roles in Illinois?
The H-1B visa is the most common visa category for data science managers in Illinois, 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 employers also use the L-1A for internal transfers into managerial positions. Candidates with extraordinary ability may explore the O-1A, though it requires substantial documented achievement.
Which cities in Illinois have the most data science manager sponsorship jobs?
Chicago accounts for the overwhelming majority of data science manager sponsorship activity in Illinois. The Loop, River North, and Fulton Market neighborhoods host dense clusters of tech, finance, and health tech employers. Suburbs like Deerfield, Schaumburg, and Oak Brook have corporate headquarters that occasionally post senior data roles, but Chicago proper is where most visa-sponsored positions are concentrated for this role level.
How to find data science manager visa sponsorship jobs in Illinois?
Migrate Mate is built specifically for this search. You can filter by role and state to surface data science manager positions in Illinois where employers are open to visa sponsorship, without sifting through thousands of unrelated listings. Because data science manager roles are senior-level, filtering by companies with active LCA histories in Illinois helps narrow the field to employers who have sponsored this role before.
Are there any Illinois-specific considerations for data science manager visa sponsorship?
Illinois follows federal prevailing wage requirements, so employers sponsoring H-1B data science managers must certify wages that meet DOL wage levels for the specific metropolitan area, typically the Chicago-Naperville-Elgin MSA. Chicago's strong university pipeline, including the University of Chicago, Northwestern, and the University of Illinois system, means employers are experienced with international hiring. However, sponsorship decisions at the manager level often depend on whether the role is classified as a specialty occupation versus a general management position.
What is the prevailing wage for sponsored data science manager jobs in Illinois?
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.