Data Manager Jobs in Wisconsin
Data Manager jobs in Wisconsin are in steady demand, concentrated in healthcare systems, financial services, and manufacturing, sectors where Wisconsin's economy runs deep. Most openings are in Milwaukee, Madison, and Green Bay, with well-established employers like Epic Systems, Advocate Aurora Health, and American Family Insurance consistently hiring for data management roles. The most in-demand specialties include healthcare data governance, ERP and enterprise data integration, and analytics pipeline management. See the openings below and apply to the ones that match your experience.
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Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Data Automation Manager position, you’ll transform manual sales, marketing, CRM, and customer data processes into scalable, automated workflows that improve accuracy, reduce operational effort, and unlock actionable insights. You’ll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and improve the usability of information that supports demand generation, sales effectiveness, and business growth. This role requires a highly technical individual contributor with a strong AI-first mindset and a passion for solving complex data challenges with innovative, future-ready solutions.
Skills Needed:
Provides Customer Value - Delivers cutting-edge, tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships.
Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
Optimizes Work Processes - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success measures.
Makes Quality Decisions - Makes swift and sound decisions that propel objectives forward. Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.
Delivers Results - Seizes new opportunities and tackles challenges head-on with urgency. Takes initiative and consistently hits goals. Zeroes in on key priorities for results. Drives progress through uncertainty and moves others to action.
What You’ll Do and Impact:
Lead the design, development, and deployment of scalable data automation workflows that replace manual data quality, enrichment, and hygiene processes
Partner with cross-functional teams (Data Engineering, CRM, Analytics, Marketing, Sales Operations) to identify data challenges and define automation requirements
Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and future-state data capabilities
Design and implement AI-powered solutions leveraging automation tools, APIs, and machine learning to improve data accuracy, consistency, deduplication, and completeness
Build and maintain integrations with third-party data enrichment platforms (e.g., ZoomInfo, Clearbit) and AI-driven tools to continuously enhance enterprise data
Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction
Establish monitoring, alerting, and feedback mechanisms to ensure automated data processes remain accurate, reliable, and scalable over time
Collaborate with Database and Architecture teams to ensure alignment with enterprise data standards, governance, and security practices
Define and track key performance metrics (e.g., data quality, efficiency gains, error reduction, ROI) to measure impact and drive continuous improvement
Develop and scale self-service automation tools, frameworks, and best practices to enable broader adoption across teams
Provide training, documentation, and ongoing support to Partners to maximize adoption and effectiveness of automated data solutions
Experience:
5–8+ years of experience in data quality, data automation, data operations, or related technical roles
Strong hands-on experience with SQL and Python, or equivalent automation and scripting technologies
Proven experience designing, building, and supporting automated, AI-driven workflows that improve data quality, efficiency, and reliability
Experience building and maintaining integrations with APIs, web services, and external data sources
Experience defining data quality metrics and operationalizing monitoring, observability, or alerting processes
Proven ability to collaborate and influence cross-functional stakeholders across teams such as Analytics, Data Engineering, CRM, Marketing, and Sales Operations
Additional Items of Interest:
Experience applying machine learning, generative AI, or advanced automation techniques within data workflows, including entity resolution, data enrichment, anomaly detection, or data correction
Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar cloud-based analytics environments
Experience with data orchestration, transformation, and integration tools such as Apache Airflow, dbt, Fivetran, Power Automate, or similar technologies
Experience working with third-party enrichment and data intelligence platforms such as ZoomInfo, Clearbit, Data Axle, or similar providers
Experience in healthcare, senior living, or other data-intensive B2B environments
Knowledge of workflow governance, auditing, compliance controls, and SLA-driven automation
Experience creating training materials, operational documentation, and supporting adoption of new processes and technologies
Certifications in data engineering, cloud platforms, automation technologies, artificial intelligence, or machine learning
Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.
Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Data Automation Manager position, you’ll transform manual sales, marketing, CRM, and customer data processes into scalable, automated workflows that improve accuracy, reduce operational effort, and unlock actionable insights. You’ll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and improve the usability of information that supports demand generation, sales effectiveness, and business growth. This role requires a highly technical individual contributor with a strong AI-first mindset and a passion for solving complex data challenges with innovative, future-ready solutions.
Skills Needed:
Provides Customer Value - Delivers cutting-edge, tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships.
Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
Optimizes Work Processes - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success measures.
Makes Quality Decisions - Makes swift and sound decisions that propel objectives forward. Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.
Delivers Results - Seizes new opportunities and tackles challenges head-on with urgency. Takes initiative and consistently hits goals. Zeroes in on key priorities for results. Drives progress through uncertainty and moves others to action.
What You’ll Do and Impact:
Lead the design, development, and deployment of scalable data automation workflows that replace manual data quality, enrichment, and hygiene processes
Partner with cross-functional teams (Data Engineering, CRM, Analytics, Marketing, Sales Operations) to identify data challenges and define automation requirements
Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and future-state data capabilities
Design and implement AI-powered solutions leveraging automation tools, APIs, and machine learning to improve data accuracy, consistency, deduplication, and completeness
Build and maintain integrations with third-party data enrichment platforms (e.g., ZoomInfo, Clearbit) and AI-driven tools to continuously enhance enterprise data
Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction
Establish monitoring, alerting, and feedback mechanisms to ensure automated data processes remain accurate, reliable, and scalable over time
Collaborate with Database and Architecture teams to ensure alignment with enterprise data standards, governance, and security practices
Define and track key performance metrics (e.g., data quality, efficiency gains, error reduction, ROI) to measure impact and drive continuous improvement
Develop and scale self-service automation tools, frameworks, and best practices to enable broader adoption across teams
Provide training, documentation, and ongoing support to Partners to maximize adoption and effectiveness of automated data solutions
Experience:
5–8+ years of experience in data quality, data automation, data operations, or related technical roles
Strong hands-on experience with SQL and Python, or equivalent automation and scripting technologies
Proven experience designing, building, and supporting automated, AI-driven workflows that improve data quality, efficiency, and reliability
Experience building and maintaining integrations with APIs, web services, and external data sources
Experience defining data quality metrics and operationalizing monitoring, observability, or alerting processes
Proven ability to collaborate and influence cross-functional stakeholders across teams such as Analytics, Data Engineering, CRM, Marketing, and Sales Operations
Additional Items of Interest:
Experience applying machine learning, generative AI, or advanced automation techniques within data workflows, including entity resolution, data enrichment, anomaly detection, or data correction
Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar cloud-based analytics environments
Experience with data orchestration, transformation, and integration tools such as Apache Airflow, dbt, Fivetran, Power Automate, or similar technologies
Experience working with third-party enrichment and data intelligence platforms such as ZoomInfo, Clearbit, Data Axle, or similar providers
Experience in healthcare, senior living, or other data-intensive B2B environments
Knowledge of workflow governance, auditing, compliance controls, and SLA-driven automation
Experience creating training materials, operational documentation, and supporting adoption of new processes and technologies
Certifications in data engineering, cloud platforms, automation technologies, artificial intelligence, or machine learning
Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.
See All 36 Data Manager Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find Data Manager JobsData Manager Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Data Manager Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Consulting & Professional Services
- Construction & Real Estate
- Banking & Financial Services
What Wisconsin Employers Look For
The qualifications that appear most often in data manager jobs across Wisconsin.
- Bachelor's degree in data management, information systems, computer science, or a related field
- Three or more years of experience managing enterprise databases or data warehousing environments
- Proficiency with SQL and at least one major data platform such as Snowflake, Azure, or AWS
- Experience with data governance frameworks, metadata management, or data quality tools
- Familiarity with healthcare data standards such as HL7 or FHIR preferred for Wisconsin health sector roles
- Strong communication skills for coordinating with cross-functional teams and presenting to stakeholders
Data Manager Jobs in Wisconsin: Frequently Asked Questions
How do you become a data manager in Wisconsin?
Wisconsin does not require a state-issued license to work as a data manager. Most employers expect a bachelor's degree in information systems, computer science, or a related field, plus demonstrated experience managing data infrastructure or governance programs. Certifications such as the CDMP from DAMA International or vendor credentials from Microsoft or AWS strengthen candidacy. Wisconsin's large healthcare sector often adds a preference for candidates familiar with health information standards.
How much do data managers make in Wisconsin?
Data managers in Wisconsin earn a median of about $100,020 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $62,440 for the lowest 10% to over $149,430 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data managers in Wisconsin?
Wisconsin data manager roles are posted by The Boldt Company, CUPERTINO ELECTRIC, and STV and others right now, based on current listings on Migrate Mate as of August 2026. Wisconsin's concentration of integrated health systems, insurance carriers, and manufacturing firms means demand is spread across multiple industries rather than a single dominant sector.
Which Wisconsin cities have the most data manager jobs?
Waukesha, Milwaukee, and Mount Pleasant have the most data manager openings in Wisconsin. Milwaukee leads because of its density of financial services, healthcare systems, and corporate headquarters, while Madison's concentration of Epic Systems, state government agencies, and the University of Wisconsin drives consistent demand, and Green Bay adds volume through its regional health networks and manufacturing base.
Are there remote data manager jobs in Wisconsin?
Yes, and more than most fields. About 57% of data manager openings tied to Wisconsin are remote or hybrid as of August 2026, reflecting how central this role is to desk-based analytical and governance work. Roles focused on data architecture, business intelligence reporting, and data quality oversight are the most consistently offered with remote flexibility.
How can I get hired as a data manager in Wisconsin with little or no experience?
The most realistic entry path is through a data analyst or database administrator role and then moving up once you have demonstrated ownership of a data process. Large Wisconsin employers like Epic Systems and Advocate Aurora Health post associate-level data and reporting analyst positions that serve as a direct pipeline into management tracks. Building a portfolio of SQL projects, earning a CDMP associate certification, or completing a data engineering certificate through UW-Extension all give early-career candidates a concrete edge with Wisconsin hiring managers.
Where can I find and apply to data manager jobs in Wisconsin?
You can find and apply to data manager jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings. Search the roles that fit your background and apply directly to the ones that match your experience level and target industry.
See All 36 Data Manager Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find Data Manager Jobs