Clinical Data Analyst Jobs in South Dakota
Clinical Data Analyst jobs in South Dakota are concentrated in Sioux Falls, Rapid City, and Aberdeen, where health systems such as Sanford Health, Avera Health, and Monument Health anchor the bulk of openings across clinical operations, quality improvement, and regulatory reporting. Demand reaches from entry-level data coordinators into senior analyst and informatics roles, with the strongest activity in electronic health record analytics, clinical trial data management, and population health reporting. Find a role that fits below and apply directly.
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Showing 5 of 15+ Clinical Data Analyst jobs
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.
Position Summary
The Lead Director, AI Network & Data Center Engineering is responsible for leading the strategy, design, and delivery of the organization’s network infrastructure supporting enterprise applications and next-generation AI/ML workloads. This role oversees the development of high‑performance, low‑latency data center and cloud networking capabilities that enable large-scale GPU environments, advanced data processing, and modern application platforms. By establishing architectural standards, driving consistent execution, and ensuring secure, resilient connectivity, this position plays a critical role in supporting the organization’s most demanding technology initiatives.
This leader is accountable for building and guiding a high-performing team of network and data center engineers, while aligning infrastructure capabilities to evolving business and security needs. Working closely with cloud, platform, and cybersecurity leadership, the role drives adoption of modern architectures, automation, and performance optimization practices to improve reliability, scalability, and efficiency. Through strong strategic direction and operational leadership, the Lead Director ensures the network function can support long-term growth, increasing AI demand, and enterprise-wide digital transformation.
Role Responsibilities:
Development & Enforcement
- Define and enforce network architecture standards, security controls, and compliance policies
- Establish best practices for configuration, deployment, and operations
- Ensure alignment with enterprise governance frameworks (HIPAA, NIST, PCI, HITRUST, CSA)
Collaboration & Expertise
- Advise executives on network strategy, roadmaps, emerging technologies, and industry trends
- Partner with cross-functional teams (platform, cloud, security, infrastructure) to deliver integrated, secure and scalable solutions
- Engage vendors on solution architectures, design, contracts, and delivery
Analysis & Configuration
- Design and implement:
- Data center fabrics (leaf-spine, Clos, EVPN/VXLAN)
- AI/GPU-optimized networking (low latency, high throughput) and related technologies
- Optimize performance for GPU workloads (RDMA, RoCE, ECN, PFC)
- GCP and multi-cloud network architectures
- Routing & switching (BGP, OSPF, MPLS, STP; Cisco, Juniper, Arista)
- High-speed networking (100/200/400Gb+)
- GPU cluster networking, traffic optimization, and congestion management
- Drive network monitoring and performance optimization (SolarWinds, NetFlow, Wireshark)
- Support SaaS and multi-tenant environments with zero trust patterns
Operational Support
- Oversee 24/7 network operations across cloud and data centers
- Lead incident response and ensure high availability, resiliency and scalability across network and cloud environments
Mentorship & Training
- Build and mentor high-performing engineering teams
- Foster a culture of collaboration, accountability, and continuous learning
Innovation and Research
- Advance networking capabilities for:
- AI/ML infrastructure and GPU clusters (NVIDIA architectures)
- High-performance networking (RoCE, PFC, ECN)
- Champion automation and Infrastructure as Code (IaC)
- Contribute to industry and open-source initiatives
Strategic Planning
- Own network architecture strategy and roadmap
- Define standards for AI, cloud, and data center environments
- Support budgeting, risk management, and long-term planning
Required Qualifications
- 10+ years’ experience in network and/or data center engineering
- 5+ years’ experience in a strategic leadership position with people management
- 5+ years’ experience in large scale enterprise environments
Preferred Qualifications
- Strong expertise in large-scale data center design, security, and high availability
- Advanced problem-solving, execution, and stakeholder management skills
- Experience with AI factory / GPU cluster environments at scale
- Enterprise networking, Cisco Nexus/ACI or similar platforms
- Network automation / IaC, SDN, service mesh, and cloud-native security frameworks
- High availability/disaster recovery design and cyber resilience
- Certifications: CCIE/CCNP, PCNSE, CISSP, Cloud networking
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
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: 07/07/2026
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.
Position Summary
The Lead Director, AI Network & Data Center Engineering is responsible for leading the strategy, design, and delivery of the organization’s network infrastructure supporting enterprise applications and next-generation AI/ML workloads. This role oversees the development of high‑performance, low‑latency data center and cloud networking capabilities that enable large-scale GPU environments, advanced data processing, and modern application platforms. By establishing architectural standards, driving consistent execution, and ensuring secure, resilient connectivity, this position plays a critical role in supporting the organization’s most demanding technology initiatives.
This leader is accountable for building and guiding a high-performing team of network and data center engineers, while aligning infrastructure capabilities to evolving business and security needs. Working closely with cloud, platform, and cybersecurity leadership, the role drives adoption of modern architectures, automation, and performance optimization practices to improve reliability, scalability, and efficiency. Through strong strategic direction and operational leadership, the Lead Director ensures the network function can support long-term growth, increasing AI demand, and enterprise-wide digital transformation.
Role Responsibilities:
Development & Enforcement
- Define and enforce network architecture standards, security controls, and compliance policies
- Establish best practices for configuration, deployment, and operations
- Ensure alignment with enterprise governance frameworks (HIPAA, NIST, PCI, HITRUST, CSA)
Collaboration & Expertise
- Advise executives on network strategy, roadmaps, emerging technologies, and industry trends
- Partner with cross-functional teams (platform, cloud, security, infrastructure) to deliver integrated, secure and scalable solutions
- Engage vendors on solution architectures, design, contracts, and delivery
Analysis & Configuration
- Design and implement:
- Data center fabrics (leaf-spine, Clos, EVPN/VXLAN)
- AI/GPU-optimized networking (low latency, high throughput) and related technologies
- Optimize performance for GPU workloads (RDMA, RoCE, ECN, PFC)
- GCP and multi-cloud network architectures
- Routing & switching (BGP, OSPF, MPLS, STP; Cisco, Juniper, Arista)
- High-speed networking (100/200/400Gb+)
- GPU cluster networking, traffic optimization, and congestion management
- Drive network monitoring and performance optimization (SolarWinds, NetFlow, Wireshark)
- Support SaaS and multi-tenant environments with zero trust patterns
Operational Support
- Oversee 24/7 network operations across cloud and data centers
- Lead incident response and ensure high availability, resiliency and scalability across network and cloud environments
Mentorship & Training
- Build and mentor high-performing engineering teams
- Foster a culture of collaboration, accountability, and continuous learning
Innovation and Research
- Advance networking capabilities for:
- AI/ML infrastructure and GPU clusters (NVIDIA architectures)
- High-performance networking (RoCE, PFC, ECN)
- Champion automation and Infrastructure as Code (IaC)
- Contribute to industry and open-source initiatives
Strategic Planning
- Own network architecture strategy and roadmap
- Define standards for AI, cloud, and data center environments
- Support budgeting, risk management, and long-term planning
Required Qualifications
- 10+ years’ experience in network and/or data center engineering
- 5+ years’ experience in a strategic leadership position with people management
- 5+ years’ experience in large scale enterprise environments
Preferred Qualifications
- Strong expertise in large-scale data center design, security, and high availability
- Advanced problem-solving, execution, and stakeholder management skills
- Experience with AI factory / GPU cluster environments at scale
- Enterprise networking, Cisco Nexus/ACI or similar platforms
- Network automation / IaC, SDN, service mesh, and cloud-native security frameworks
- High availability/disaster recovery design and cyber resilience
- Certifications: CCIE/CCNP, PCNSE, CISSP, Cloud networking
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
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: 07/07/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See All 15 Clinical Data Analyst Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
Find Clinical Data Analyst JobsClinical Data Analyst Jobs by City in South Dakota
Where South Dakota roles are concentrated, by current openings.
Clinical Data Analyst Job Market in South Dakota
A snapshot from current South Dakota openings, updated as new roles post.
Who's Hiring
- The Bancorp6
- Ryder System2
- Mars1
- Pathward1
- CVS Health1
Top Industries Hiring
- Banking & Financial Services7
- Government & Public Sector1
- Healthcare & Medical Services1
What South Dakota Employers Look For
The qualifications that appear most often in clinical data analyst jobs across South Dakota.
- Bachelor's degree in health informatics, statistics, life sciences, or a related field
- Proficiency in SQL and data visualization tools such as Tableau or Power BI
- Experience working with electronic health record systems such as Epic or Cerner
- Knowledge of clinical data standards including CDISC, HL7, or ICD coding systems
- Strong understanding of regulatory requirements including HIPAA and GCP guidelines
- Ability to interpret clinical study protocols and translate them into data collection specifications
Clinical Data Analyst Jobs in South Dakota: Frequently Asked Questions
How do you become a clinical data analyst in South Dakota?
Most clinical data analyst positions in South Dakota require at least a bachelor's degree in health informatics, data science, nursing, or a related life science field. While South Dakota does not issue a state license specifically for clinical data analysts, employers across the Sioux Falls and Rapid City markets strongly favor candidates who hold recognized credentials such as the Certified Clinical Data Manager credential from the Society for Clinical Data Management. Familiarity with Epic or Cerner, common across Sanford Health and Avera Health, gives applicants a meaningful competitive edge.
How much do clinical data analysts make in South Dakota?
Clinical data analysts in South Dakota earn a median of about $96,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $67,510 for the lowest 10% to over $145,510 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire clinical data analysts in South Dakota?
Companies currently hiring clinical data analysts in South Dakota include The Bancorp, Ryder System, and Mars, per current listings on Migrate Mate as of July 2026. Sanford Health and Avera Health, both headquartered in Sioux Falls, have historically been among the most consistent sources of clinical data analyst openings in the state.
Which South Dakota cities have the most clinical data analyst jobs?
The cities with the most clinical data analyst openings in South Dakota are Sioux Falls, Pierre, and Rapid City. Sioux Falls drives the majority of demand as the home base of Sanford Health and Avera Health, two of the region's largest integrated health systems, while Rapid City benefits from Monument Health's growing clinical and research operations, and Aberdeen draws openings through Avera St. Luke's and regional clinic networks.
Are there remote clinical data analyst jobs in South Dakota?
Yes, and more than most healthcare roles, because clinical data analysis is fundamentally desk-based work centered on data systems rather than direct patient contact. About 88% of clinical data analyst openings tied to South Dakota are remote or hybrid as of July 2026, reflecting the role's analytical and technology-driven nature. Functions such as clinical trial data review, database programming, and regulatory reporting are the most consistently offered in fully remote arrangements.
How can I get hired as a clinical data analyst in South Dakota with little or no experience?
The most realistic entry path is through a data coordinator or research coordinator role at a major South Dakota health system such as Sanford Health or Avera Health, both of which run new-graduate programs and hire candidates with a relevant bachelor's degree and strong attention to detail. Lateral moves from medical coding, clinical research coordination, or health information management roles are common stepping stones. Completing an Epic or Cerner training program, or earning an entry-level health informatics certificate from a South Dakota university system, strengthens an application considerably.
Where can I find and apply to clinical data analyst jobs in South Dakota?
You can find and apply to clinical data analyst jobs in South Dakota on Migrate Mate, which lists current South Dakota openings updated in real time. Find the roles that fit your background and apply directly to the employers posting them.
See All 15 Clinical Data Analyst Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
Find Clinical Data Analyst Jobs