Data Analytics Lead Jobs in South Dakota
Data Analytics Lead jobs in South Dakota draw consistent demand from financial services, healthcare, agriculture technology, and state government, with hiring concentrated at the mid-to-senior level. Sioux Falls, Rapid City, and Pierre account for the largest share of openings, anchored by employers like Sanford Health, Citibank, and the South Dakota Bureau of Information and Telecommunications. The most sought-after specialties in the state include business intelligence development, healthcare data governance, and financial analytics. Find a role that fits below and apply directly.
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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 16 Data Analytics Lead Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
Find Data Analytics Lead JobsData Analytics Lead Jobs by City in South Dakota
Where South Dakota roles are concentrated, by current openings.
Data Analytics 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 analytics lead jobs across South Dakota.
- Bachelor's degree in data science, statistics, analytics, or a related quantitative field
- Five or more years of experience in data analytics with at least two in a lead capacity
- Advanced proficiency in SQL, Python, or R and at least one major BI platform such as Tableau or Power BI
- Demonstrated ability to translate complex data findings into actionable recommendations for non-technical stakeholders
- Experience managing or mentoring a team of analysts and setting analytical standards across a department
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Analytics Lead Jobs in South Dakota: Frequently Asked Questions
How do you become a data analytics lead in South Dakota?
Data analytics lead roles in South Dakota do not require a state-issued license, so the path is built around education and experience. Most employers in Sioux Falls and Rapid City expect a bachelor's degree in data science, statistics, or a related field, followed by several years as an analyst before moving into a lead position. Earning a credential such as a Certified Analytics Professional or a cloud platform certification strengthens candidacy with South Dakota's financial services and healthcare employers.
How much do data analytics leads make in South Dakota?
Data analytics 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 analytics leads in South Dakota?
South Dakota data analytics lead roles are posted by The Bancorp, Ryder System, and Mars and others right now, based on current listings on Migrate Mate as of July 2026. South Dakota's concentration of large financial institutions in Sioux Falls and major health systems operating statewide means demand is particularly consistent in those two sectors.
Which South Dakota cities have the most data analytics lead jobs?
Sioux Falls, Pierre, and North Sioux City have the most data analytics lead openings in South Dakota. Sioux Falls drives the bulk of demand thanks to its dense cluster of credit card companies, regional banks, and Sanford Health's data operations, while Rapid City and Pierre draw openings from healthcare networks, state agencies, and technology services firms that support western South Dakota.
Are there remote data analytics lead jobs in South Dakota?
Yes, and more than most fields, because data analytics lead work is desk-based and easily performed remotely. About 88% of data analytics lead openings tied to South Dakota are remote or hybrid as of July 2026, reflecting how naturally the role adapts to distributed teams. Strategic reporting, dashboard development, and team coaching are the functions most commonly performed fully remote.
How can I get hired as a data analytics lead in South Dakota with little or no experience?
The most realistic entry path is building two to three years as a data analyst at one of South Dakota's large financial services firms or health systems before moving into a lead role. Sanford Health and regional banks in Sioux Falls regularly hire junior analysts and rotate strong performers into senior individual contributor positions that bridge to leadership. A portfolio of end-to-end projects, a cloud certification, and experience with Tableau or Power BI are the credentials that most consistently open the door.
Where can I find and apply to data analytics lead jobs in South Dakota?
You can find and apply to data analytics lead jobs in South Dakota on Migrate Mate, which lists current South Dakota openings updated regularly. Find roles that fit your experience and apply directly to the employer through the listing.
See All 16 Data Analytics Lead Jobs in South Dakota
Find roles in South Dakota that match your experience and apply in just a few clicks.
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