1

Data Systems Manager Jobs in Wisconsin (NOW HIRING)

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... management policies • Plan and execute system expansion to support company growth and analytic need DATA INTEGRATION AND API DEVELOPMENT • Build and maintain integrations with internal and ...

Metadata management and lineage systems Ensure architectural consistency across environments ... Data modeling and schema design * Pipeline orchestration * Code quality and version control

Metadata management and lineage systems Ensure architectural consistency across environments ... Data modeling and schema design * Pipeline orchestration * Code quality and version control

Financial Systems Analyst

Milwaukee, WI

$84K - $114K/yr

Job Title Financial Systems Analyst About the role: As a Financial Systems Analyst, you will ... Exposure to accounting master data, data quality, data governance, or master data management ...

Financial Systems Analyst

Milwaukee, WI · On-site

$84K - $114K/yr

Job Title Financial Systems Analyst About the role: As a Financial Systems Analyst, you will ... Exposure to accounting master data, data quality, data governance, or master data management ...

Develop and maintain manufacturing data collection and visualization systems. * Assist with ... Provides comprehensive project management support, including schedule management, budget oversight ...

next page

Showing results 1-20

Data Systems Manager information

See Wisconsin salary details

$46.4K

$113K

$198.8K

How much do data systems manager jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data systems manager in Wisconsin is $113,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,300.00 per year, depending on experience, location, and employer.

What are Data Systems Managers?

Data Systems Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data management systems. They ensure that data storage, retrieval, and security processes run smoothly, supporting business operations and decision-making. Typically, they manage teams of IT specialists, coordinate with other departments, and stay updated with evolving technologies. Their role is critical for ensuring the accuracy, accessibility, and security of organizational data.

What jobs pay 200,000 a year in the USA?

Data Systems Managers, especially those with extensive experience, advanced certifications, and leadership responsibilities, can earn salaries of $200,000 or more annually. High-paying roles in technology and management often require strong technical skills, strategic oversight, and sometimes working in high-demand industries or large organizations.

Are MIS jobs in high demand?

Management Information Systems (MIS) jobs, including roles like Data Systems Managers, are in high demand due to increasing reliance on data management, cybersecurity, and technology infrastructure across industries. These positions often require skills in database management, systems analysis, and familiarity with tools like SQL and ERP systems, making them valuable in the current job market.

What is the difference between Data Systems Manager vs Data Analyst?

AspectData Systems ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Cisco, Microsoft, or cloud certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentIT departments, data management teams, enterprise environmentsBusiness units, marketing, finance, data visualization teams
Employer & Industry UsageTech companies, large corporations, government agenciesMarketing firms, finance companies, consulting agencies

The Data Systems Manager oversees data infrastructure, ensuring systems run efficiently, while the Data Analyst interprets data to provide insights. Both roles require technical skills, but the manager focuses on system management, whereas the analyst emphasizes data analysis and reporting.

What jobs in the US pay 300,000 a year?

Data Systems Managers in large organizations or those with extensive experience and advanced certifications can earn salaries around $300,000 annually. High-paying roles often require strong technical skills, leadership abilities, and experience managing complex data infrastructure or teams.

What are the key skills and qualifications needed to thrive as a Data Systems Manager, and why are they important?

To excel as a Data Systems Manager, you need expertise in database management, data architecture, and systems integration, often supported by a degree in information technology or computer science. Familiarity with SQL, cloud platforms (such as AWS or Azure), and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies ensure that data systems are secure, efficient, and aligned with organizational goals, enabling informed decision-making.

What are some common challenges faced by Data Systems Managers when integrating new technologies into existing data infrastructure?

Data Systems Managers often encounter challenges such as ensuring compatibility between legacy systems and new technologies, minimizing downtime during migration, and maintaining data integrity throughout the integration process. They also need to coordinate closely with IT, security, and business teams to align technology upgrades with organizational goals and compliance requirements. Effective change management and thorough testing are crucial to address these challenges and ensure a smooth transition.

What does a data systems manager do?

A data systems manager oversees the design, implementation, and maintenance of an organization’s data infrastructure, ensuring data accuracy, security, and accessibility. They often coordinate with IT teams, manage database systems, and utilize tools like SQL and data management software to support business operations and decision-making.
What are the most commonly searched types of Data Systems jobs in Wisconsin? The most popular types of Data Systems jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Systems Manager jobs? Cities in Wisconsin with the most Data Systems Manager job openings:
What are popular job titles related to Data Systems Manager jobs in WI? For Data Systems Manager jobs in WI, the most frequently searched job titles are:
Infographic showing various Data Systems Manager job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,043 per year, or $54.3 per hour.
Metrology Engineering - Data and Systems Developer

Metrology Engineering - Data and Systems Developer

Milwaukee Tool

Brookfield, WI

Full-time

Posted 20 days ago


Job description

Job Description:

Come be DISRUPTIVE with us! At Milwaukee Tool, our most valued resource is our dedicated team of employees - employees who work with a passion to be the best and have an unparalleled pride in their work and in the Milwaukee brand. We know that the only way to sustain growth and success is to value the growth and success of each person within the organization that's why we invest in an individual's growth and development from day one.

Our fast-paced, agile environment continuously delivers disruptive technologies by providing every team with the resources needed to excel and deliver heavy duty products with high performance. We create Best in Class products by leveraging advanced analysis tools, state-of-the-art quality controls and cross-functional agility.

Your Role on Our Team

As a Metrology Data, Systems, and Automation Engineer, you will help modernize metrology operations by improving how measurement data is collected, organized, analyzed, reported, and connected across engineering, quality, manufacturing, supplier, and enterprise systems. This role is well suited for candidates with experience in metrology, quality engineering, manufacturing engineering, software automation, data analytics, systems integration, technical applications support, or related technical disciplines. You will evaluate and implement new technologies, develop practical automation and reporting solutions, and serve as a technical bridge between Metrology Engineering, IT, and cross-functional business partners.

You'll also be DISRUPTIVE through these duties and responsibilities:

  • Research, evaluate, and recommend metrology hardware, inspection software, automation tools, AI-enabled solutions, data platforms, and digital reporting technologies.
  • Lead feasibility studies, benchmarking, implementation planning, testing criteria, documentation, training, and change management for new metrology applications and workflows.
  • Design and implement software-based solutions that improve metrology data flow, reporting speed, traceability, usability, and integration with enterprise systems.
  • Develop scripts, tools, automated workflows, low-code solutions, AI agents, bots, dashboards, or standardized templates for data extraction, transformation, report generation, workflow automation, and performance tracking.
  • Serve as the primary technical link between Metrology Engineering and IT for software tools, system integrations, database connectivity, permissions, cybersecurity, licensing, file architecture, and digital infrastructure.
  • Translate metrology, quality, manufacturing, and engineering workflow needs into clear business and technical requirements while aligning operational needs with scalable, supportable solutions.
  • Drive standardization of metrology software workflows, naming structures, file organization, data storage methods, reporting practices, and digital lifecycle control.
  • Support continuous improvement projects that improve metrology efficiency, quality system compliance, reporting consistency, and digital transformation.
  • Collaborate with global and regional teams to share best practices, support user adoption, and build repeatable solutions that can scale across laboratories, suppliers, and manufacturing environments.

What TOOLS you'll bring with you:

  • Bachelor's degree in Engineering, Computer Science, Data Analytics, Manufacturing Engineering, Mechanical Engineering, Industrial Technology, Quality, or a related technical field; equivalent relevant experience will also be considered.
  • 3+ years of experience in one or more of the following areas: metrology, quality engineering, manufacturing engineering, inspection technology, software applications, data analytics, automation, systems integration, technical support, or related technical work.
  • Exposure to metrology, inspection, quality, manufacturing, or engineering systems such as CMMs, vision systems, optical scanners, laser scanners, CT/X-ray, gages, test equipment, CAD-based inspection, or related technologies.
  • Hands-on experience improving data handling, reporting, automation, scripting, programming, dashboards, databases, or workflow tools in an engineering, quality, manufacturing, lab, or technical business environment.
  • Interest in or experience with AI, AI agents, bots, low-code tools, or workflow automation used to improve data handling, reporting, troubleshooting, user support, or process efficiency.
  • Working knowledge of one or more tools such as Python, VBA, SQL, Excel automation, SharePoint, Power BI, Power Automate, APIs, database tools, reporting platforms, or similar automation and data solutions.
  • Ability to understand technical workflows, structure data, document processes, troubleshoot issues, and communicate information clearly to both technical and non-technical users.
  • Strong communication, problem-solving, organization, collaboration, project coordination, and continuous improvement skills.

Other TOOLS that are nice to have:

  • Familiarity with metrology or inspection software such as PC-DMIS, PolyWorks, Zeiss Inspect, Calypso, Geomagic, DataLoop, or similar platforms.
  • Experience integrating data across metrology platforms, lab systems, quality systems, manufacturing systems, enterprise tools, databases, APIs, cloud services, or IT-supported software environments.
  • Experience applying AI-enabled tools, copilots, agents, bots, or low-code automation to engineering, quality, lab, or manufacturing workflows.
  • Experience with CAD-based inspection workflows, GD&T interpretation, measurement validation, MSA, Gage R&R, capability studies, or quality management system requirements.
  • Background supporting digital transformation, automated reporting, dashboard development, software implementation, user training, technical documentation, or systems integration projects in a lab, engineering, quality, manufacturing, or supplier environment.

Milwaukee Tool is an equal opportunity employer.