Data Analytics Engineer Visa Sponsorship Jobs in South Dakota
Data analytics engineer roles in South Dakota are concentrated in Sioux Falls and Rapid City, where financial services firms like Wells Fargo and Citibank, along with growing health tech and insurance companies, drive demand. Employers in this state do sponsor H-1B visa and other work visas for qualified candidates, though the market is smaller and more selective than major tech hubs.
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Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint.
Facility: Stevens Center Building
Location: Sioux Falls, SD
Address: 900 East 54th St N, Sioux Falls, SD 57104, USA
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 40.00
Job Summary
The Chief Data and Artificial Intelligence Officer (CDAIO) is responsible for defining and executing the enterprise data, analytics, robotic process automation, and AI strategy for the health system. This role ensures that data and AI are trusted, secure, ethical, and effectively leveraged to improve clinical outcomes, operational efficiency, patient experience, research, and financial performance. The CDAIO operates at the intersection of clinical, operational, financial, and technology domains, translating complex capabilities into measurable business and care transformation outcomes while maintaining compliance with healthcare regulations and ethical AI standards. The CDAIO leads the development and execution of an enterprise-wide strategy aligned with the organization's mission and goals, serving as the executive champion for data-driven decision-making and AI-enabled transformation. This role partners with executive leadership, clinical leaders, and the board to identify high-impact use cases for analytics, machine learning, and generative AI. The CDAIO builds and leads high-performing teams across data engineering, analytics, data science, governance, and business intelligence, fostering a culture of innovation, accountability, and continuous improvement while driving alignment across the organization.
A core responsibility of the role is establishing strong data and analytics governance. This includes overseeing data quality, stewardship, standards, interoperability, and metadata management, while ensuring compliance with HIPAA, HITECH, CMS, FDA, and other applicable regulations. The CDAIO promotes a "single source of truth" through consistent data definitions and leads the responsible integration of AI into clinical workflows to improve efficiency, reduce documentation burden, and enhance patient and provider experience.
The CDAIO oversees the full lifecycle of AI, machine learning, and advanced analytics solutions across clinical care, population health, revenue cycle, supply chain, and workforce operations. Acting as the organization's central AI authority, this leader ensures solutions are ethical, transparent, and explainable, with strong oversight for bias mitigation, model performance, and clinical safety. The role also governs third-party AI tools and vendor partnerships and drives the integration of AI into care pathways, including predictive analytics, triage automation, and documentation support. In parallel, the CDAIO leads workflow redesign efforts to reduce inefficiencies, lower cognitive burden, and expand capacity, while partnering with clinical and operational leaders to modernize care delivery models.
In addition, the CDAIO develops and executes strategies for data monetization and commercialization. This includes responsibly leveraging de-identified data assets, launching AI-enabled products such as predictive models and clinical algorithms, and forming strategic partnerships with life sciences organizations, startups, and academic institutions. The role establishes data-as-a-service and AI-as-a-service capabilities and defines an intellectual property strategy to extend organizational impact.
From a clinical and operational perspective, the CDAIO works closely with physicians, nurses, and operational leaders to embed analytics and AI into workflows and decision support, driving measurable improvements in quality, safety, access, cost, and patient experience. The role also supports research, clinical trials, and innovation through advanced data platforms and expands the organization's reach to broader communities and markets.
In partnership with the CIO and CDO, the CDAIO defines and maintains a modern, scalable data and AI architecture. This includes cloud-native platforms, real-time data streaming, master data management, interoperability frameworks such as FHIR and APIs, and the transition to a data lakehouse environment. The CDAIO ensures strong data security, privacy, and system resilience, working closely with the CISO to mitigate risks such as model poisoning, secure training data pipelines, monitor adversarial threats, and implement safe AI deployment practices.
The role also advances research and innovation by integrating diverse data sources, including genomics, imaging, and clinical trials, into enterprise analytics. The CDAIO leads initiatives in areas such as federated learning, precision medicine, and predictive population health, while building partnerships that accelerate scientific and clinical advancement.
As a leader of people and culture, the CDAIO builds and mentors high-performing teams and fosters enterprise-wide data and AI literacy. This includes developing training programs for leaders and clinicians, establishing an AI center of excellence, defining emerging roles, embedding AI champions across departments, and leading change management efforts to drive adoption and reduce resistance.
Qualifications
Master’s degree in Business Administration, Health Administration, Information Technology, or a related field.
10+ years of progressive leadership experience in data, analytics, or AI, including significant experience in healthcare or life sciences.
A strong understanding of healthcare data domains, regulatory requirements, and data privacy and security is essential, along with a demonstrated track record of leading enterprise-scale transformations.
Preferred qualifications include a clinical background or close experience working with clinicians, as well as exposure to academic medicine, population health, value-based care, digital health innovation, and evolving AI regulations.
Benefits
Sanford offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit https://sanfordcareers.com/benefits.
Sanford is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to talent@sanfordhealth.org.
Sanford has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.
Req Number: R-0255847
Job Function: Leadership
Featured: No
Careers With Purpose
Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint.
Facility: Stevens Center Building
Location: Sioux Falls, SD
Address: 900 East 54th St N, Sioux Falls, SD 57104, USA
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 40.00
Job Summary
The Chief Data and Artificial Intelligence Officer (CDAIO) is responsible for defining and executing the enterprise data, analytics, robotic process automation, and AI strategy for the health system. This role ensures that data and AI are trusted, secure, ethical, and effectively leveraged to improve clinical outcomes, operational efficiency, patient experience, research, and financial performance. The CDAIO operates at the intersection of clinical, operational, financial, and technology domains, translating complex capabilities into measurable business and care transformation outcomes while maintaining compliance with healthcare regulations and ethical AI standards. The CDAIO leads the development and execution of an enterprise-wide strategy aligned with the organization's mission and goals, serving as the executive champion for data-driven decision-making and AI-enabled transformation. This role partners with executive leadership, clinical leaders, and the board to identify high-impact use cases for analytics, machine learning, and generative AI. The CDAIO builds and leads high-performing teams across data engineering, analytics, data science, governance, and business intelligence, fostering a culture of innovation, accountability, and continuous improvement while driving alignment across the organization.
A core responsibility of the role is establishing strong data and analytics governance. This includes overseeing data quality, stewardship, standards, interoperability, and metadata management, while ensuring compliance with HIPAA, HITECH, CMS, FDA, and other applicable regulations. The CDAIO promotes a "single source of truth" through consistent data definitions and leads the responsible integration of AI into clinical workflows to improve efficiency, reduce documentation burden, and enhance patient and provider experience.
The CDAIO oversees the full lifecycle of AI, machine learning, and advanced analytics solutions across clinical care, population health, revenue cycle, supply chain, and workforce operations. Acting as the organization's central AI authority, this leader ensures solutions are ethical, transparent, and explainable, with strong oversight for bias mitigation, model performance, and clinical safety. The role also governs third-party AI tools and vendor partnerships and drives the integration of AI into care pathways, including predictive analytics, triage automation, and documentation support. In parallel, the CDAIO leads workflow redesign efforts to reduce inefficiencies, lower cognitive burden, and expand capacity, while partnering with clinical and operational leaders to modernize care delivery models.
In addition, the CDAIO develops and executes strategies for data monetization and commercialization. This includes responsibly leveraging de-identified data assets, launching AI-enabled products such as predictive models and clinical algorithms, and forming strategic partnerships with life sciences organizations, startups, and academic institutions. The role establishes data-as-a-service and AI-as-a-service capabilities and defines an intellectual property strategy to extend organizational impact.
From a clinical and operational perspective, the CDAIO works closely with physicians, nurses, and operational leaders to embed analytics and AI into workflows and decision support, driving measurable improvements in quality, safety, access, cost, and patient experience. The role also supports research, clinical trials, and innovation through advanced data platforms and expands the organization's reach to broader communities and markets.
In partnership with the CIO and CDO, the CDAIO defines and maintains a modern, scalable data and AI architecture. This includes cloud-native platforms, real-time data streaming, master data management, interoperability frameworks such as FHIR and APIs, and the transition to a data lakehouse environment. The CDAIO ensures strong data security, privacy, and system resilience, working closely with the CISO to mitigate risks such as model poisoning, secure training data pipelines, monitor adversarial threats, and implement safe AI deployment practices.
The role also advances research and innovation by integrating diverse data sources, including genomics, imaging, and clinical trials, into enterprise analytics. The CDAIO leads initiatives in areas such as federated learning, precision medicine, and predictive population health, while building partnerships that accelerate scientific and clinical advancement.
As a leader of people and culture, the CDAIO builds and mentors high-performing teams and fosters enterprise-wide data and AI literacy. This includes developing training programs for leaders and clinicians, establishing an AI center of excellence, defining emerging roles, embedding AI champions across departments, and leading change management efforts to drive adoption and reduce resistance.
Qualifications
Master’s degree in Business Administration, Health Administration, Information Technology, or a related field.
10+ years of progressive leadership experience in data, analytics, or AI, including significant experience in healthcare or life sciences.
A strong understanding of healthcare data domains, regulatory requirements, and data privacy and security is essential, along with a demonstrated track record of leading enterprise-scale transformations.
Preferred qualifications include a clinical background or close experience working with clinicians, as well as exposure to academic medicine, population health, value-based care, digital health innovation, and evolving AI regulations.
Benefits
Sanford offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit https://sanfordcareers.com/benefits.
Sanford is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to talent@sanfordhealth.org.
Sanford has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.
Req Number: R-0255847
Job Function: Leadership
Featured: No
Data Analytics Engineer Job Roles in South Dakota
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Search Data Analytics Engineer Jobs in South DakotaData Analytics Engineer Jobs in South Dakota: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in South Dakota?
Financial services companies with significant operations in Sioux Falls, including Wells Fargo, Citibank, and Sanford Health, have filed H-1B Labor Condition Applications for data and analytics roles. South Dakota's insurance and banking sectors are the most consistent sources of sponsorship for data analytics engineers in the state, though the overall volume of sponsorships is lower than in larger tech-concentrated states.
Which visa types are most common for data analytics engineer roles in South Dakota?
The H-1B is the most common visa category for data analytics engineer positions in South Dakota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT through South Dakota State University or the University of South Dakota may also transition into H-1B sponsorship through their employer.
Which cities in South Dakota have the most data analytics engineer sponsorship jobs?
Sioux Falls is by far the primary market for data analytics engineer sponsorship jobs in South Dakota, driven by its concentration of financial institutions, insurance companies, and healthcare systems. Rapid City represents a secondary market with some technology and government contracting employers. Outside these two cities, sponsorship opportunities for data analytics engineers in South Dakota are limited.
How to find data analytics engineer visa sponsorship jobs in South Dakota?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse data analytics engineer openings in South Dakota without sifting through roles at companies that don't sponsor. Because South Dakota's sponsoring employer pool is relatively small, setting up alerts for new postings on Migrate Mate is particularly useful so you can act quickly when relevant roles appear.
Are there any state-specific considerations for data analytics engineers pursuing visa sponsorship in South Dakota?
South Dakota has no state income tax, which affects how employers structure compensation packages, though prevailing wage requirements for H-1B roles are set by the Department of Labor at the federal level regardless of state tax policy. The University of South Dakota and South Dakota State University produce a modest pipeline of analytics talent, so employers occasionally recruit internationally when local candidate pools don't meet specialized technical requirements.
What is the prevailing wage for sponsored data analytics engineer jobs in South Dakota?
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.