Engineering Senior Manager Jobs in Wisconsin
Engineering Senior Manager jobs in Wisconsin concentrate in advanced manufacturing, defense systems, and industrial automation, with strong demand across the state's deep engineering economy. Milwaukee, Madison, and Green Bay are the primary hiring centers, anchored by major employers such as Rockwell Automation, GE Healthcare, and Kohler Company. The most sought-after specialties include manufacturing process engineering, systems engineering management, and quality and reliability leadership. See the openings below and apply to the ones that match your experience.
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Showing 5 of 35+ Engineering Senior Manager jobs
Job Description:
** Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position.
INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to provide technical solutions on our IT Team.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Your Role on Our Team:
The Senior Manager of Data Engineering leads teams that design, build, operate, and continuously improve enterprise data products and platforms. Reporting to the Director of Data Engineering, this leader is accountable for reliable delivery, engineering quality, team development, and strong partnerships across business, analytics, architecture, governance, security, and technology teams.
This role will advance our Databricks-based data platform and establish practical AI-native engineering capabilities. The Senior Manager will use AI-assisted and agentic development approaches to improve how teams design, code, test, document, deploy, monitor, and support data solutions while maintaining appropriate human oversight, security, data governance, and software engineering controls.
You'll be DISRUPTIVE through these duties and responsibilities:
Leadership and Team Management
- Lead, coach, and develop data engineering managers, technical leads, and engineers; establish clear accountability, performance expectations, career paths, and succession plans.
- Build an inclusive, high-performing engineering culture grounded in ownership, technical excellence, collaboration, and continuous learning.
- Translate enterprise strategy into priorities, capacity plans, delivery roadmaps, and measurable outcomes.
- Manage employee and partner capacity, budgets, and vendor relationships to deliver the highest-value work efficiently.
- Communicate effectively with executives, business leaders, architects, product leaders, and technical teams.
Data Engineering Strategy and Delivery
- Own the delivery and operation of scalable data pipelines, reusable frameworks, curated data products, and platform capabilities supporting analytics, reporting, operational, AI, and machine learning use cases.
- Partner with product and business leaders to define outcomes, prioritize demand, manage dependencies, and deliver incremental business value.
- Establish engineering standards for architecture, coding, testing, CI/CD, observability, documentation, performance, reliability, and supportability.
- Improve delivery predictability through portfolio management, agile planning, transparent metrics, risk management, and disciplined execution.
- Reduce technical debt and operational burden through modernization, automation, reusable patterns, and intentional lifecycle management.
- Lead incident response and problem management for critical data services, including root-cause analysis and corrective action.
Databricks Platform Leadership
- Provide technical and operational leadership for the Databricks Lakehouse platform, including Delta Lake, Unity Catalog, workflows, compute, security, observability, and cost management.
- Guide migration and modernization of legacy data pipelines and warehouse workloads to scalable Databricks patterns where they provide clear value.
- Establish reusable ingestion, transformation, orchestration, data quality, deployment, and monitoring frameworks.
- Optimize platform performance and cost through workload design, cluster and serverless strategies, usage transparency, and FinOps practices.
AI Native Engineering and AI Enablement
- Define and scale responsible AI-assisted development practices across requirements, design, code generation, review, testing, documentation, deployment, and operations.
- Evaluate agentic engineering capabilities that automate bounded workflows while preserving human approval, traceability, security, and production controls.
- Set measurable adoption and effectiveness goals for AI development tools, including cycle time, quality, test coverage, developer experience, and incident reduction.
- Ensure AI-generated code and artifacts meet enterprise standards for security, privacy, maintainability, intellectual property, testing, and peer review.
- Partner with AI and data science teams to provide trusted data products, feature pipelines, vector and unstructured data patterns, and model or agent telemetry.
Data Governance Reliability and Security
- Embed data ownership, metadata, lineage, classification, access controls, retention, and quality rules into engineering workflows and platform services.
- Define service-level objectives and metrics for data freshness, quality, availability, performance, cost, and recovery.
- Partner with cybersecurity, privacy, risk, and compliance teams to ensure data products and AI-enabled workflows meet enterprise requirements.
Performs other duties as assigned.
The TOOLS you'll bring with you:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience.
- 7 or more years of progressive experience in data engineering, software engineering, data platforms, or related disciplines, including at least three years leading engineering teams and people managers.
- Demonstrated experience leading enterprise-scale data engineering delivery in a complex, cross-functional environment.
- Hands-on technical depth with Databricks and Apache Spark, including Delta Lake and production pipeline design; Unity Catalog and Databricks Workflows experience is strongly desired.
- Strong experience with Python, SQL, automated testing, source control, CI/CD, infrastructure as code, and cloud-native delivery.
- Experience designing and operating batch and streaming pipelines, lakehouse or warehouse solutions, APIs, and event-driven integrations.
- Experience implementing or governing AI-assisted development tools and practices in an enterprise engineering environment.
- Working knowledge of data and AI governance, security, privacy, metadata, lineage, data quality, and production controls.
- Strong business acumen, written and verbal communication, problem solving, prioritization, and executive stakeholder management skills.
Other TOOLS we prefer you to have:
- Experience with Microsoft Azure, including Azure Data Lake Storage, Azure DevOps, Entra ID, Event Hubs, or related services.
- Experience modernizing enterprise data warehouses and ETL estates, including migration, coexistence, and decommissioning.
- Experience in manufacturing, supply chain, retail, product, or other data-intensive domains.
- Experience managing global teams, strategic partners, and managed services.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans
- Generous 401 (K) savings plan
- Education assistance
- On-site wellness, fitness center, food, and coffee service
- And many more, check out our benefits site HERE.
Milwaukee Electric Tool Corporation ("Milwaukee Tool") is an equal opportunity and affirmative action employer seeking to employ and advance in employment qualified persons without discrimination and to not allow harassment of any employee or applicant because of race, ethnicity, color, religion, sex, sexual orientation, gender identity, genetic characteristics, physical or mental disability, national origin, age, status as a protected veteran, and any other status protected by local, state, or federal law.
Milwaukee Tool is an equal opportunity employer.
Job Description:
** Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position.
INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to provide technical solutions on our IT Team.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Your Role on Our Team:
The Senior Manager of Data Engineering leads teams that design, build, operate, and continuously improve enterprise data products and platforms. Reporting to the Director of Data Engineering, this leader is accountable for reliable delivery, engineering quality, team development, and strong partnerships across business, analytics, architecture, governance, security, and technology teams.
This role will advance our Databricks-based data platform and establish practical AI-native engineering capabilities. The Senior Manager will use AI-assisted and agentic development approaches to improve how teams design, code, test, document, deploy, monitor, and support data solutions while maintaining appropriate human oversight, security, data governance, and software engineering controls.
You'll be DISRUPTIVE through these duties and responsibilities:
Leadership and Team Management
- Lead, coach, and develop data engineering managers, technical leads, and engineers; establish clear accountability, performance expectations, career paths, and succession plans.
- Build an inclusive, high-performing engineering culture grounded in ownership, technical excellence, collaboration, and continuous learning.
- Translate enterprise strategy into priorities, capacity plans, delivery roadmaps, and measurable outcomes.
- Manage employee and partner capacity, budgets, and vendor relationships to deliver the highest-value work efficiently.
- Communicate effectively with executives, business leaders, architects, product leaders, and technical teams.
Data Engineering Strategy and Delivery
- Own the delivery and operation of scalable data pipelines, reusable frameworks, curated data products, and platform capabilities supporting analytics, reporting, operational, AI, and machine learning use cases.
- Partner with product and business leaders to define outcomes, prioritize demand, manage dependencies, and deliver incremental business value.
- Establish engineering standards for architecture, coding, testing, CI/CD, observability, documentation, performance, reliability, and supportability.
- Improve delivery predictability through portfolio management, agile planning, transparent metrics, risk management, and disciplined execution.
- Reduce technical debt and operational burden through modernization, automation, reusable patterns, and intentional lifecycle management.
- Lead incident response and problem management for critical data services, including root-cause analysis and corrective action.
Databricks Platform Leadership
- Provide technical and operational leadership for the Databricks Lakehouse platform, including Delta Lake, Unity Catalog, workflows, compute, security, observability, and cost management.
- Guide migration and modernization of legacy data pipelines and warehouse workloads to scalable Databricks patterns where they provide clear value.
- Establish reusable ingestion, transformation, orchestration, data quality, deployment, and monitoring frameworks.
- Optimize platform performance and cost through workload design, cluster and serverless strategies, usage transparency, and FinOps practices.
AI Native Engineering and AI Enablement
- Define and scale responsible AI-assisted development practices across requirements, design, code generation, review, testing, documentation, deployment, and operations.
- Evaluate agentic engineering capabilities that automate bounded workflows while preserving human approval, traceability, security, and production controls.
- Set measurable adoption and effectiveness goals for AI development tools, including cycle time, quality, test coverage, developer experience, and incident reduction.
- Ensure AI-generated code and artifacts meet enterprise standards for security, privacy, maintainability, intellectual property, testing, and peer review.
- Partner with AI and data science teams to provide trusted data products, feature pipelines, vector and unstructured data patterns, and model or agent telemetry.
Data Governance Reliability and Security
- Embed data ownership, metadata, lineage, classification, access controls, retention, and quality rules into engineering workflows and platform services.
- Define service-level objectives and metrics for data freshness, quality, availability, performance, cost, and recovery.
- Partner with cybersecurity, privacy, risk, and compliance teams to ensure data products and AI-enabled workflows meet enterprise requirements.
Performs other duties as assigned.
The TOOLS you'll bring with you:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience.
- 7 or more years of progressive experience in data engineering, software engineering, data platforms, or related disciplines, including at least three years leading engineering teams and people managers.
- Demonstrated experience leading enterprise-scale data engineering delivery in a complex, cross-functional environment.
- Hands-on technical depth with Databricks and Apache Spark, including Delta Lake and production pipeline design; Unity Catalog and Databricks Workflows experience is strongly desired.
- Strong experience with Python, SQL, automated testing, source control, CI/CD, infrastructure as code, and cloud-native delivery.
- Experience designing and operating batch and streaming pipelines, lakehouse or warehouse solutions, APIs, and event-driven integrations.
- Experience implementing or governing AI-assisted development tools and practices in an enterprise engineering environment.
- Working knowledge of data and AI governance, security, privacy, metadata, lineage, data quality, and production controls.
- Strong business acumen, written and verbal communication, problem solving, prioritization, and executive stakeholder management skills.
Other TOOLS we prefer you to have:
- Experience with Microsoft Azure, including Azure Data Lake Storage, Azure DevOps, Entra ID, Event Hubs, or related services.
- Experience modernizing enterprise data warehouses and ETL estates, including migration, coexistence, and decommissioning.
- Experience in manufacturing, supply chain, retail, product, or other data-intensive domains.
- Experience managing global teams, strategic partners, and managed services.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans
- Generous 401 (K) savings plan
- Education assistance
- On-site wellness, fitness center, food, and coffee service
- And many more, check out our benefits site HERE.
Milwaukee Electric Tool Corporation ("Milwaukee Tool") is an equal opportunity and affirmative action employer seeking to employ and advance in employment qualified persons without discrimination and to not allow harassment of any employee or applicant because of race, ethnicity, color, religion, sex, sexual orientation, gender identity, genetic characteristics, physical or mental disability, national origin, age, status as a protected veteran, and any other status protected by local, state, or federal law.
Milwaukee Tool is an equal opportunity employer.
See All 35 Engineering Senior Manager Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find JobsEngineering Senior Manager Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Engineering Senior Manager Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
What Wisconsin Employers Look For
The qualifications that appear most often in engineering senior manager jobs across Wisconsin.
- Bachelor's degree in an engineering discipline recognized by an accredited U.S. institution
- Seven or more years of progressive engineering experience including direct team leadership
- Demonstrated success managing cross-functional engineering teams through full project lifecycles
- Deep knowledge of manufacturing processes, lean principles, or systems integration relevant to Wisconsin industry
- Experience with budget ownership, resource planning, and capital project execution
- Strong communication skills for presenting technical plans to executive and operations stakeholders
Engineering Senior Manager Jobs in Wisconsin: Frequently Asked Questions
How do you become a engineering senior manager in Wisconsin?
Most engineering senior managers in Wisconsin begin with a bachelor's degree in an engineering discipline and build toward leadership through progressively senior individual-contributor and project-lead roles. Wisconsin does not require a state-issued management license for this role, but engineers in certain disciplines who stamp drawings or certify designs must hold an active Professional Engineer license through the Wisconsin Department of Safety and Professional Services. Employers across manufacturing and defense typically expect candidates to have led teams before moving into a senior manager title.
Which companies hire engineering senior managers in Wisconsin?
Employers hiring engineering senior managers in Wisconsin right now include Milwaukee Tool, Generac Power Systems, and MSA Professional Services, based on current listings on Migrate Mate as of September 2026. Wisconsin's concentration of precision manufacturing, medical device, and industrial automation companies means demand for this role is spread across both large anchors and mid-size regional manufacturers.
Which Wisconsin cities have the most engineering senior manager jobs?
Milwaukee, Madison, and Waukesha account for the most engineering senior manager openings in Wisconsin. Milwaukee leads because of its dense cluster of industrial manufacturers, automation firms, and corporate engineering headquarters, while Madison draws from technology, biomedical, and state-affiliated research institutions, and smaller markets like Green Bay reflect the region's strong food processing and packaging engineering base.
Are there remote engineering senior manager jobs in Wisconsin?
Yes, but they're relatively limited. About 64% of engineering senior manager openings tied to Wisconsin are remote or hybrid as of September 2026, reflecting the hands-on oversight most manufacturing and operations engineering roles require. The portions of the role most suited to remote work include program planning, vendor coordination, and cross-site reporting, while floor-level oversight and capital project management almost always require an on-site presence.
How can I get hired as a engineering senior manager in Wisconsin with little or no experience?
The most realistic entry path is moving into a project engineering or lead engineer role at a Wisconsin manufacturer and building a record of supervising smaller teams before targeting senior manager titles. Employers like Rockwell Automation and GE Healthcare in the Milwaukee corridor regularly hire associate engineers and project leads who grow into management. Earning a Professional Engineer license through the Wisconsin Department of Safety and Professional Services and completing a PMP credential strengthens a candidate's case for promotion into a first engineering management role.
Where can I find and apply to engineering senior manager jobs in Wisconsin?
You can find and apply to engineering senior manager jobs in Wisconsin on Migrate Mate, which lists current openings from employers actively hiring across the state. Search the listings, identify the roles that fit your background and target location, and apply directly to the ones that match.
See All 35 Engineering Senior Manager Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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