Data Analyst Lead Jobs in South Dakota
Data Analyst Lead jobs in South Dakota concentrate in financial services, healthcare, agriculture technology, and state government, with demand anchored in Sioux Falls and Rapid City and a smaller but growing presence in Pierre. Sanford Health, Citibank, and the South Dakota Department of Health are among the most established employers with lasting analyst leadership needs in the state. The most in-demand specialties are healthcare data governance, financial risk analytics, and enterprise reporting with tools like SQL, Tableau, and Power BI. Find a role that fits below and apply directly.
Find Data Analyst Lead JobsOverview
Showing 5 of 15+ Data Analyst Lead 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 Data Analyst Lead Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
Find Data Analyst Lead JobsData Analyst Lead Jobs by City in South Dakota
Where South Dakota roles are concentrated, by current openings.
Data Analyst Lead 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 data analyst lead jobs across South Dakota.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of analytics experience with at least two in a lead or senior role
- Advanced proficiency in SQL and at least one major BI platform such as Tableau or Power BI
- Experience managing or mentoring junior analysts and owning end-to-end reporting workflows
- Demonstrated ability to translate complex data findings into actionable recommendations for business stakeholders
- Familiarity with Python or R for data wrangling, modeling, or automation tasks
Data Analyst Lead Jobs in South Dakota: Frequently Asked Questions
How do you become a data analyst lead in South Dakota?
The role requires no state-issued license in South Dakota, so the path runs through education and experience. Most employers expect a bachelor's degree in a quantitative field such as statistics, computer science, or information systems, followed by several years working as a data analyst or senior analyst. In South Dakota's dominant sectors, healthcare and financial services, employers add weight to domain knowledge and familiarity with industry-specific data systems, so gaining experience inside those verticals accelerates the move into a lead position.
How much do data analyst leads make in South Dakota?
Data analyst leads 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 data analyst leads in South Dakota?
Employers hiring data analyst leads in South Dakota right now include The Bancorp, Ryder System, and Mars, based on current listings on Migrate Mate as of July 2026. South Dakota's financial services corridor in Sioux Falls and its large regional health systems generate the steadiest and most recurring analyst leadership openings in the state.
Which South Dakota cities have the most data analyst lead jobs?
Sioux Falls, Pierre, and Rapid City hold the most data analyst lead openings in South Dakota. Sioux Falls drives the largest share because it is home to major bank card operations, regional insurance headquarters, and the Sanford Health system, all of which run substantial analytics teams, while Rapid City benefits from healthcare, tourism data, and state agency activity concentrated in the western part of the state.
Are there remote data analyst lead jobs in South Dakota?
Yes, and more than most fields. About 88% of data analyst lead openings tied to South Dakota are remote or hybrid as of July 2026, reflecting how naturally desk-based and tool-driven the work is. The portions of the role most likely to stay fully remote are reporting, modeling, and dashboard development, while positions with cross-functional stakeholder management or team leadership often prefer at least a hybrid arrangement.
How can I get hired as a data analyst lead in South Dakota with little or no experience?
The most realistic entry path is building two or three years as a data or business analyst inside one of South Dakota's anchor sectors before stepping into a lead role. Sanford Health and Avera Health both run structured analyst development programs that bring in candidates with healthcare or clinical data backgrounds, and Citibank's Sioux Falls operations hire analysts at the associate level for credit and risk functions. Building a portfolio of SQL projects, a Tableau Public profile, or a completed Google Data Analytics or similar certificate makes a candidate competitive for those associate openings that eventually lead to senior and lead titles.
Where can I find and apply to data analyst lead jobs in South Dakota?
You can find and apply to data analyst lead jobs in South Dakota on Migrate Mate, which lists current openings from employers active in the state. Find roles that fit your experience and apply directly to the ones that match.
See All 15 Data Analyst Lead Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
Find Data Analyst Lead Jobs