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Program Manager Data Analytics Jobs in Wisconsin

htna

AI Program Manager

Milwaukee, WI

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 ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI

... advanced analytics solutions to support key business decisions in one or more practices and/or ... 401k program, onsite fitness centers and employee stores, employee discounts on products and ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

... advanced analytics solutions to support key business decisions in one or more practices and/or ... 401k program, onsite fitness centers and employee stores, employee discounts on products and ...

Johnson Controls

BMS Program Manager

Milwaukee, WI · Remote

$1K/wk

Experience in data analytics and demonstrated proficiency in Power BI, data visualization, and cross-system data integration Critical Skills & Competencies * Executivelevel communication and ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

... advanced analytics solutions to support key business decisions in one or more practices and/or ... 401k program, onsite fitness centers and employee stores, employee discounts on products and ...

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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.
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Program Manager Data Analytics jobs near you

AI Program Manager

htna

Milwaukee, WI

Other

Posted 23 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