Data Science Manager Visa Sponsorship Jobs in South Carolina
South Carolina's data science manager roles are concentrated in Charlotte-adjacent markets like Rock Hill, as well as in Columbia and Charleston, where financial services firms, healthcare networks, and defense contractors such as Booz Allen Hamilton and SCANA-aligned energy companies drive demand. Employers in this state actively sponsor H-1B visas for senior data science leadership positions.
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Get Access To All JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Company Overview
CVS Health’s Analytics & Behavior Change (A&BC) organization is dedicated to addressing some of the most pressing challenges at the intersection of technology and healthcare. By leveraging advanced analytics, machine learning, and hypothesis-driven approaches, A&BC transforms data into actionable, customer-centric insights that drive growth and improve health outcomes across all CVS Health businesses. Our teams are building next-generation data and machine learning platforms and software products that empower CVS Health to make healthier happen for over 100 million customers. As part of this transformative journey, we are expanding our Product team to support the commercialization of a suite of analytics products powered by CVS's first-party and third-party data assets, rolling up to Health100, our new AI-native platform.
Position Summary
As a Senior Product Manager within the A&BC organization, you will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. This role requires a strong understanding of product management, data analytics, and healthcare data, along with the ability to bridge technical and business perspectives. You will collaborate closely with cross-functional teams, including business, data engineering, data science, and design, to bring innovative analytics-focused products to market. Additionally, you will play a key role in mentoring junior product managers and contributing to the overall product strategy.
Key Responsibilities:
- Gather requirements from business and clinical teams to inform product development.
- Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science and engineering teams.
- Collaborate with data engineering, data science, and design teams to translate requirements into actionable concepts and solutions.
- Lead the design and development of backend data and analytics architecture, ensuring scalability, reliability, and performance.
- Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality.
- Conduct user research and usability testing to inform product decisions and validate hypotheses.
- Own technical documentation for analytics products, including data flow diagrams and architecture specifications.
- Communicate effectively with business stakeholders to relay product updates and gather feedback.
- Champion Agile methodologies and best practices in product development.
- Mentor and guide junior product managers, fostering a culture of collaboration and continuous improvement.
- Contribute to the overall product strategy and roadmap, ensuring alignment with business objectives.
Role is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.
Required Qualifications
- 5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.
- 5+ years’ experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.
- 3+ years’ experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.
- 3+ years’ experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.
- 3+ years’ experience supporting the development of data visualization tools, with particular emphasis on Tableau.
- 3+ years’ experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.
Preferred Qualifications
- Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.
- Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.
- Understanding of data science concepts, including predictive modeling and machine learning.
- Demonstrated proficiency in SQL.
Education
- Bachelor’s degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.
- Master’s degree in Analytics, Data Science, MPH, or MBA) is preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 05/11/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Company Overview
CVS Health’s Analytics & Behavior Change (A&BC) organization is dedicated to addressing some of the most pressing challenges at the intersection of technology and healthcare. By leveraging advanced analytics, machine learning, and hypothesis-driven approaches, A&BC transforms data into actionable, customer-centric insights that drive growth and improve health outcomes across all CVS Health businesses. Our teams are building next-generation data and machine learning platforms and software products that empower CVS Health to make healthier happen for over 100 million customers. As part of this transformative journey, we are expanding our Product team to support the commercialization of a suite of analytics products powered by CVS's first-party and third-party data assets, rolling up to Health100, our new AI-native platform.
Position Summary
As a Senior Product Manager within the A&BC organization, you will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. This role requires a strong understanding of product management, data analytics, and healthcare data, along with the ability to bridge technical and business perspectives. You will collaborate closely with cross-functional teams, including business, data engineering, data science, and design, to bring innovative analytics-focused products to market. Additionally, you will play a key role in mentoring junior product managers and contributing to the overall product strategy.
Key Responsibilities:
- Gather requirements from business and clinical teams to inform product development.
- Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science and engineering teams.
- Collaborate with data engineering, data science, and design teams to translate requirements into actionable concepts and solutions.
- Lead the design and development of backend data and analytics architecture, ensuring scalability, reliability, and performance.
- Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality.
- Conduct user research and usability testing to inform product decisions and validate hypotheses.
- Own technical documentation for analytics products, including data flow diagrams and architecture specifications.
- Communicate effectively with business stakeholders to relay product updates and gather feedback.
- Champion Agile methodologies and best practices in product development.
- Mentor and guide junior product managers, fostering a culture of collaboration and continuous improvement.
- Contribute to the overall product strategy and roadmap, ensuring alignment with business objectives.
Role is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.
Required Qualifications
- 5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.
- 5+ years’ experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.
- 3+ years’ experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.
- 3+ years’ experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.
- 3+ years’ experience supporting the development of data visualization tools, with particular emphasis on Tableau.
- 3+ years’ experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.
Preferred Qualifications
- Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.
- Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.
- Understanding of data science concepts, including predictive modeling and machine learning.
- Demonstrated proficiency in SQL.
Education
- Bachelor’s degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.
- Master’s degree in Analytics, Data Science, MPH, or MBA) is preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 05/11/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Data Science Manager Job Roles in South Carolina
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Search Data Science Manager Jobs in South CarolinaData Science Manager Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data science managers in South Carolina?
Established sponsors in South Carolina include Booz Allen Hamilton, BlueCross BlueShield of South Carolina, Michelin North America, and technology consultancies operating near the Research Triangle corridor. Large financial institutions with operations in Columbia and Charleston also have documented H-1B sponsorship histories for data science leadership roles. Checking Department of Labor LCA disclosure data confirms which employers have filed for comparable positions.
Which visa types are most common for data science manager roles in South Carolina?
The H-1B is the most common visa category for data science managers in South Carolina. The role typically qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding an L-1A or O-1A may also find pathways through multinational employers or demonstrated exceptional achievement in data science.
Which cities in South Carolina have the most data science manager sponsorship jobs?
Columbia leads South Carolina for data science manager sponsorship activity, driven by state government technology initiatives, university-affiliated research, and healthcare employers. Charleston is growing steadily, supported by a tech startup community and defense-sector contractors. Greenville attracts manufacturing and automotive data science roles through companies like Michelin and BMW's nearby supply chain network, making it a secondary but active market.
How to find data science manager visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager openings in South Carolina without sorting through roles that don't offer sponsorship. The platform surfaces positions from employers with active sponsorship programs, which is particularly useful in a mid-sized state market like South Carolina where sponsoring employers are fewer but concentrated in specific industries and cities.
What state-specific factors should data science managers know about sponsoring in South Carolina?
South Carolina's growing university pipeline, particularly from Clemson University and the University of South Carolina, produces data science talent that influences local hiring norms and prevailing wage benchmarks. Employers in this state tend to be mid-to-large organizations rather than startups, so sponsorship decisions often move through formal HR processes. The state's manufacturing and healthcare sectors increasingly treat data science management as a core function, broadening the pool of willing sponsors.
What is the prevailing wage for sponsored data science manager jobs in South Carolina?
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.
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