Data Manager Jobs in Minnesota
Data Manager jobs in Minnesota are concentrated in the Twin Cities metro, with additional hiring activity in Rochester and Duluth, where health systems, financial institutions, and technology firms drive consistent demand across database administration, data governance, and analytics operations. Employers like Mayo Clinic, UnitedHealth Group, and Target maintain large, ongoing data management functions and recruit at levels from associate to senior and director. Minnesota's healthcare and financial services sectors make it one of the more active markets for data professionals in the upper Midwest. Scan the live roles below and apply to whichever ones fit.
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Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
The Optum Health Financial Tech team is seeking a strategic technology leader to drive Employer & Individual (E&I) HEDIS Retrospective Operations and Maintenance for a high-visibility cloud migration program. Supporting mission-critical modernization and regulatory compliance efforts, this role leads a team of data engineers and subject matter experts in delivering scalable, production-ready data pipelines. In this role, you will partner closely with business leaders and auditors, managing key operational commitments and integrating production-ready AI capabilities to automate workflows, mitigate technical risk, and maintain strict regulatory SLAs.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Dev lead responsible for delivering Cloud based data engineering solutions along with driving AI implementations
- Lead, direct, and mentor a team of 6+ data engineers and functional subject matter experts to execute scalable data pipeline automations and maintain operational SLAs
- Guide the team in designing, building, and integrating production-ready AI capabilities into scalable data engineering architectures and automated pipelines with emphasis on responsible AI practices
- Manage critical communications and alignment with business partners and auditors regarding functional logic, quality measures, issue resolution, and regulatory reporting requirements
- Drive the evaluation and adoption of enterprise-approved AI tools to streamline data workflows, enhance pipeline performance, and drive continuous operational delivery
- Collaborate effectively across cross-functional product, enhancement, and source teams to resolve dependencies and safeguard business commitments
- Ensure strict adherence to HEDIS quality measure specifications, NCQA updates, and regulatory reporting timelines
- Remove technical and operational barriers to execution by facilitating key architecture and workflow decisions in complex environments
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 5+ years of experience in the health insurance industry serving as a subject matter expert in HEDIS concepts, measure engines, and data domains (Member, Eligibility, Medical, Rx, Clinical) across Medicare, Medicaid, and Commercial lines of business
- 5+ years of experience using on-premise or cloud-based SQL databases in a business, research, or consulting environment
- 3+ years of Agile/Kanban delivery experience, including engineering best practices such as unit testing, TDD, CI/CD, pair programming, automated testing, and code reviews
- 2+ years of experience leading, coaching, and managing technical and functional team members (leading 6+ engineers/SMEs)
- 1+ years of experience evaluating, integrating, and deploying production-ready AI capabilities and GenAI/Agentic AI automations within enterprise technical workflows
- Proven experience supporting regulatory compliance reporting, business SLAs, and direct stakeholder communications with internal/external auditors
- Demonstrated ability to translate complex technical and methodological nuances to non-technical business partners and drive strategic decision-making
Preferred Qualifications:
- Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or a related technical field (or 4+ years of equivalent data engineering experience)
- Experience leading or supporting cloud migration initiatives for large-scale healthcare data processing platforms
- Experience with Fast Healthcare Interoperability Resources (FHIR) standards and clinical data domain integrations
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
See All 41 Data Manager Jobs in Minnesota
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Find Data Manager JobsData Manager Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Manager Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
- Construction & Real Estate
- Banking & Financial Services
- Healthcare & Medical Services
What Minnesota Employers Look For
The qualifications that appear most often in data manager jobs across Minnesota.
- Bachelor's degree in information management, computer science, or a related technical field
- Demonstrated experience designing and maintaining relational databases and data pipelines
- Proficiency with SQL and at least one major data platform such as Snowflake, Azure, or AWS
- Familiarity with data governance frameworks, data quality standards, and metadata management
- Experience working with cross-functional teams to translate business needs into data solutions
- Strong communication skills for presenting data findings to both technical and non-technical stakeholders
Data Manager Jobs in Minnesota: Frequently Asked Questions
How do you become a data manager in Minnesota?
There is no state-issued license required to work as a data manager in Minnesota. The standard path is a bachelor's degree in information systems, computer science, data science, or a related field, followed by progressive experience in database administration or data analysis. Certifications such as Certified Data Management Professional through DAMA International are widely recognized by Minnesota employers, particularly in healthcare and financial services, and can strengthen a candidate's standing considerably.
How much do data managers make in Minnesota?
Data managers in Minnesota earn a median of about $100,700 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,120 for the lowest 10% to over $151,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data managers in Minnesota?
Companies currently hiring data managers in Minnesota include 3M, The Boldt Company, and RBC, per current listings on Migrate Mate as of October 2026. Minnesota's deep concentration of healthcare, insurance, and retail headquarters creates particularly consistent demand from large, established organizations with enterprise-scale data operations.
Which Minnesota cities have the most data manager jobs?
Minneapolis, Saint Paul, and Minnesota have the most data manager openings in Minnesota. The Twin Cities metro accounts for the largest share, anchored by the corporate and health-system headquarters clustered in Minneapolis and its suburbs, while Rochester's activity is driven heavily by Mayo Clinic's extensive research and clinical data infrastructure.
Are there remote data manager jobs in Minnesota?
Yes, and more than most fields. About 86% of data manager openings tied to Minnesota are remote or hybrid as of October 2026, reflecting how much of the work involves platforms, pipelines, and dashboards that can be accessed from anywhere. Roles focused on data governance, reporting, and analytics tend to offer the most remote flexibility, while positions requiring hands-on infrastructure management or close collaboration with on-site teams are more likely to require in-person presence.
How can I get hired as a data manager in Minnesota with little or no experience?
The most realistic entry path is starting as a data analyst, database analyst, or junior data engineer and building toward a management role. Large Minnesota employers like UnitedHealth Group, Optum, and Cargill regularly hire entry-level data and analytics associates through structured programs that provide mentorship and project exposure. A portfolio demonstrating SQL fluency, a completed data project, or a foundational certification such as the Google Data Analytics Certificate or Microsoft Certified: Azure Data Fundamentals gives candidates a meaningful edge when applying to those associate-level openings.
Where can I find and apply to data manager jobs in Minnesota?
You can find and apply to data manager jobs in Minnesota on Migrate Mate, which lists current Minnesota openings. Search the roles available, find the ones that match your background and preferences, and apply directly to the positions that fit.
See All 41 Data Manager Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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