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Data Program Manager Jobs in Wisconsin (NOW HIRING)

htna

AI Program Manager

Milwaukee, WI · On-site

As the AI Program Manager, you will build and run a program of AI initiatives that create ... Work with Business and IT to develop data and IT infrastructure and tools to support AI program ...

INNIO

Engineering Program Manager

Waukesha, WI · On-site

$129K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... Lead and manage complex engineering programs consisting of multiple related projects and ...

INNIO

Engineering Program Manager

Waukesha, WI · On-site

$129K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... Lead and manage complex engineering programs consisting of multiple related projects and ...

Innio

Engineering Program Manager

Waukesha, WI

$129K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... Lead and manage complex engineering programs consisting of multiple related projects and ...

INNIO

Engineering Program Manager

Waukesha, WI · On-site

$129K/yr

The company delivers power for applications including data centers, microgrids, grid stabilization ... Lead and manage complex engineering programs consisting of multiple related projects and ...

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All JobsData Program JobsData Program Manager JobsData Program Manager Jobs in Wisconsin

Data Program Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do data program manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data program manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a Data Program Manager?

A Data Program Manager is responsible for overseeing and coordinating data-related projects and initiatives within an organization. They manage teams, set project goals, allocate resources, and ensure that data strategies align with business objectives. Their role often involves working closely with data engineers, analysts, and stakeholders to ensure data quality, compliance, and effective use of data assets. Data Program Managers also monitor project progress, address risks, and ensure the successful delivery of data programs on time and within budget.

What are the top 3 skills of a program manager?

A program manager needs strong leadership and communication skills to coordinate teams and stakeholders effectively. They should also have excellent organizational and project management abilities, often utilizing tools like MS Project or Jira. Analytical thinking and problem-solving are essential for managing complex projects and ensuring successful delivery.

What is the average salary for a programme manager?

The average salary for a program manager varies by industry and experience but typically ranges from $70,000 to $130,000 annually. In the context of a Data Program Manager, salaries often increase with technical skills, certifications, and the complexity of data projects managed.

What is the salary of a data manager?

The salary of a Data Program Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data governance, analytics tools, or certifications may earn higher compensation.

What are some common challenges Data Program Managers face when coordinating cross-functional data projects?

Data Program Managers often encounter challenges such as aligning priorities across different teams, ensuring data quality and consistency, and managing dependencies between technical and business stakeholders. Effective communication and stakeholder management are essential, as projects typically involve collaboration among data engineers, analysts, product managers, and executives. Balancing the need for timely delivery with rigorous data governance standards is another key challenge, requiring strong organizational and problem-solving skills.

What degree do you need to be a data manager?

A Data Program Manager typically holds at least a bachelor's degree in fields such as data science, computer science, information technology, or related areas. Many employers prefer candidates with a master's degree or higher, along with experience in data analysis, project management, and familiarity with tools like SQL, Python, or data visualization software.

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

To thrive as a Data Program Manager, you need expertise in data analytics, program management, and a solid understanding of data governance, typically backed by a degree in computer science, information systems, or a related field. Familiarity with project management tools (such as Jira or Asana), data visualization platforms (like Tableau or Power BI), and relevant certifications (e.g., PMP, Agile, or data management certifications) is often expected. Excellent communication, leadership, and stakeholder management skills help drive cross-functional collaboration and align data initiatives with business goals. These competencies are crucial for successfully delivering data-driven projects, ensuring data integrity, and maximizing organizational value from data assets.

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

AspectData Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Business, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; often no formal certifications required
Work EnvironmentOversees multiple projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare for managing data initiativesCommon across industries for data insights and reporting

The Data Program Manager focuses on overseeing data projects and managing teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong data skills, but the Program Manager has a broader scope involving project management and strategic planning.

What job categories do people searching Data Program Manager jobs in Wisconsin look for? The top searched job categories for Data Program Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Program Manager jobs? Cities in Wisconsin with the most Data Program Manager job openings:
Data Program Manager jobs near you
Infographic showing various Data Program Manager job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.

AI Program Manager

htna

Milwaukee, WI • On-site

Other

Posted 24 days ago

Job description

Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

What You’ll Do

Opportunity Discovery 

  • Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
  • Build simple business cases with the respective departments; baseline current performance, and quantify benefits

Program Management 

  • Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
  • Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
  • Run stage-gated delivery (scope → pilot → scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
  • Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap. 

Delivery

  • Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business. 
  • Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes “the way we work.”
  • Make value visible and auditable.  Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
  • Share AI knowledge to upskill the organization.  Coach stakeholders to see AI use cases in the processes.

Governance 

  • Partner with Legal/HR on data privacy and AI use policies.
  • Ensure solutions comply with IT corporate cybersecurity and risk guidelines.

Success in this role will require:

  • Collaboration & Communication
  • Adaptability
  • Problem Solving
  • Analytical Thinking
  • Business Acumen

What You'll Bring

  • Bachelor’s degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
  • 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance. 
  • Mastery of program management (business cases, roadmaps, stage gates, financials).
  • Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.

Preferred Qualifications

  • Background manufacturing or associated environments.
  • Lean / Six Sigma certification; experience embedding AI within continuous improvement programs. 
  • Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)

Apply