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Program Manager Data Analytics Jobs in Wisconsin

IT Manager, Data & Analytics Posting Start Date: 3/19/26 Job Location (Short): Milwaukee, Wisconsin ... program, implementing methodologies and pilot projects to drive digital transformation and emerging ...

The IT Manager, Data & Analytics will lead the execution of business-driven and IT-enabled ... program, implementing methodologies and pilot projects to drive digital transformation and emerging ...

$211K - $246K/yr

Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. * Technical Leadership:

Technical Architect - Data, Analytics & AI

Madison, WI · Hybrid

$64.25 - $82.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

Data Privacy Program Manager

Kohler, WI · On-site

$122K - $191K/yr

Data Privacy Program Manager Work Mode: Remote Location: Remote Opportunity A career in Data ... Strong grasp of IT Security principles and a willingness to understand IT and data analytics ...

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Program Manager Data Analytics information

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in Wisconsin? For Program Manager Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Wisconsin look for? The top searched job categories for Program Manager Data Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Program Manager Data Analytics jobs? Cities in Wisconsin with the most Program Manager Data Analytics job openings:
IT Manager, Data & Analytics

IT Manager, Data & Analytics

Komatsu

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Komatsu rating

8.5

Company rating: 8.5 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

59th of 417 rated machine equipment manufacturers


Job description

IT Manager, Data & Analytics
Posting Start Date: 3/19/26
Job Location (Short): Milwaukee, Wisconsin, USA, 53204-2941 | Chicago, Illinois, USA, 60631
Requisition ID: 35392
Onsite or Remote: Onsite Position
Join Komatsu and Be Part of Something Big!
Job Overview
Komatsu is committed to leveraging data and analytics, business intelligence, and emerging technologies to fuel business growth and corporate resilience. The IT Manager, Data & Analytics will be instrumental in leading the execution of business driven and IT enabled solutions to foster organizational growth and value expansion. Working within the Komatsu Americas Corporate IT group, this role will serve as a critical partner to various business segments and business functions, enabling stakeholders to harness the power of data-driven solutions and emerging technologies while continuously evolving data literacy, data management, and data governance practices. We are seeking a leader with proven expertise in business intelligence, data analytics, master data management and master data governance, and technology innovation, combined with strong business acumen to ensure solutions enable tangible business impact.
The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering frameworks. This role ensures platform scalability, security, cost optimization, and business adoption while advancing enterprise data architecture standards and analytics maturity. This individual will lead a team to deliver data-driven insights and solutions that enable business growth and operational excellence. This role will collaborate with business and IT leaders across the organization to understand their needs and challenges, and to leverage data, emerging technologies, and best practices to create competitive advantages and drive business growth for Komatsu.
Key Job Responsibilities
• Develops and executes data, business intelligence, and technology innovation roadmaps, ensuring alignment with business priorities and overall data strategy.
• Manages and leads a team of data analysts, engineers, business intelligence specialists, and innovation experts to deliver high-quality, data-driven solutions, while overseeing ongoing support.
• Advises business leaders by providing strategic direction on analytics, business intelligence, and technology innovation, identifying opportunities and proposing data-driven solutions.
• Establishes and evolves data management and governance policies, standards, and procedures, ensuring data quality, security, and compliance through technical leadership.
• Oversee the design, implementation, and maintenance of the MDM platform and framework, ensuring data consistency, integrity, and security.
• Plans, manages, and ensures the successful execution and on-time delivery of data analytics and business intelligence projects, driving business value and insights.
• Leads the strategy and execution of the technology innovation program, implementing methodologies and pilot projects to drive digital transformation and emerging value realization.
• Collaborates with business and IT stakeholders to understand data requirements, challenges, and opportunities, providing strategic guidance and best practices.
• Oversee and manage operational and project-based IT budgets, ensuring measurable value delivery.
• Continuously optimizes and manages the financials of the enterprise data platform, ensuring cost efficiency, scalability, and value realization.
• Owns and governs enterprise data and analytics platforms (Palantir, Power BI, Azure Synapse), ensuring scalability, reliability, cost efficiency, security, and business adoption.
• Engages and manages external vendors and partners for project proposals, execution, and support, ensuring accountability and financial stewardship.
• Collaborates cross-functionally with global and local business teams and IT teams, resolving dependencies, ensuring seamless project execution, and maintaining alignment with strategic objectives.
• Defines and enforces enterprise data architecture standards, including integration patterns, semantic models, data modeling standards, and DataOps best practices.
• Inspires and leads a highly engaged, collaborative team with a balanced mix of IT expertise and business acumen.
Qualifications/Requirements
• 10+ years of experience in Data & Analytics roles, with expertise in enterprise data management, MDM, and governance.
• 3+ years' experience leading data engineering, analytics, and business intelligence teams.
• Deep expertise in enterprise analytics platforms such as Palantir Foundry, Microsoft Power BI, Azure Synapse, and modern Azure data services (Data Factory, SQL, Fabric preferred).
• Expertise in MDM platforms, data governance frameworks, and regulatory compliance.
• Strong background in cloud-based data platforms (Azure Synapse, SQLDB, Power BI, Palantir, or equivalent technologies).
• Experience with ETL processes, data warehousing, and data modeling best practices.
• Drives adoption of advanced analytics, AI/ML, and automation capabilities within the enterprise data platform to enable predictive and prescriptive insights.
• Excellent stakeholder management, leadership, and strategic planning skills.
• Establishes KPIs and value measurement frameworks to ensure analytics initiatives deliver measurable business outcomes.
• Strong understanding of DevOps for data, CI/CD pipelines, and automation tools.
• Travel Requirements: Up to 20%
Additional Information
Hiring Range
At Komatsu, your base pay is one part of your total compensation package. This role pays $$160,000-$170,000. The actual offer will consider a wide range of factors, including experience and location.
Company Benefits
Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. We embrace a positive and empowering employee experience with a culture that prides itself on a diverse and inclusive environment.
  • Health benefits: Medical, dental, vision, HSA, wellness programs, etc.
  • 401k and/or employee savings programs
  • Employee time off (vacation and designated holidays)
  • Employee and family assistance programs
  • Disability benefits
  • Life insurance
  • Employee learning and development programs

Diversity & Inclusion Commitment
At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions. We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion. United, we are on a journey towards a sustainable future that creates value together.
Company Information
Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together. Since the company's founding in 1921, Komatsu has been committed to supporting individuals and communities through job training, skills development and giving back. As a Komatsu employee, you will be encouraged to grow alongside our global company, contributing to a more sustainable future for all. If you are looking for a company that values your talent and potential, join Komatsu to be a part of something big and help advance modern society. Learn more at www.komatsu.com.
EEO Statement
Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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