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Data Project Manager Jobs in Wisconsin (NOW HIRING)

The Role We Want You For The Project Manager will be based on the construction project site. In ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Project Manager About BetaNXT BetaNXT is a leading provider of frictionless wealth management ... BetaNXT is a premier provider of technology, data, and operations as services to a rich client base ...

The PM will be responsible for guiding this person and the developers to ensure clean data ... Project Manager, Senior Project Manager, PMP Project Manager, PMO Project Manager Skills: Payment ...

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Data Project Manager information

See Wisconsin salary details

$16

$58

$81

How much do data project manager jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data project manager in Wisconsin is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $67.93 per hour, depending on experience, location, and employer.

Who earns more, BA or PM?

In the context of a Data Project Manager, project managers generally earn higher salaries than business analysts due to their greater responsibility, experience, and leadership roles. While business analysts focus on requirements gathering and analysis, project managers oversee entire projects, often leading to higher compensation, especially with certifications like PMP or Agile expertise.

Can I make 100k as a project manager?

Data project managers can earn $100,000 or more annually, especially with experience, certifications, and in high-demand industries. Salaries vary based on location, company size, and project complexity, with senior roles and those managing large teams typically earning higher wages.

How does a Data Project Manager typically collaborate with data analysts, engineers, and stakeholders during a project lifecycle?

A Data Project Manager acts as the central point of coordination between technical teams—like data analysts and engineers—and business stakeholders. They facilitate regular meetings to clarify project goals, align on deliverables, and resolve blockers swiftly. The role often involves translating business requirements into actionable tasks for the technical team, monitoring progress, and ensuring that communication flows smoothly among all parties. This collaborative approach helps ensure data projects are delivered on time and meet organizational objectives.

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

AspectData Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentOversees projects, manages teams, coordinates between stakeholdersAnalyzes data sets, creates reports, visualizations, and insights
Employer & Industry UsageUsed across industries for managing data projects in tech, finance, healthcareCommonly employed for data interpretation and reporting roles in similar industries

The Data Project Manager focuses on planning, executing, and closing data-related projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What does a Data Project Manager do?

A Data Project Manager oversees data-related projects, ensuring they are completed on time, within budget, and according to specified requirements. They coordinate teams of data analysts, engineers, and other stakeholders to collect, manage, and analyze data. Their responsibilities include project planning, risk management, resource allocation, and communication with clients or leadership. Data Project Managers play a crucial role in transforming raw data into actionable insights for organizations.

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

To thrive as a Data Project Manager, you need strong project management abilities, data analysis skills, and a relevant degree in business, information technology, or a related field. Familiarity with project management tools (like Jira or Asana), data visualization platforms (such as Tableau or Power BI), and certifications like PMP or Agile/Scrum are commonly required. Exceptional communication, leadership, and problem-solving skills help drive cross-functional collaboration and resolve complex project challenges. These skills are crucial for ensuring projects are delivered on time, data is leveraged effectively, and stakeholder expectations are met.

What's the highest paid project manager?

The highest paid project managers are often in industries like IT, finance, and engineering, with salaries exceeding $150,000 annually in some regions. Senior project managers with extensive experience, certifications such as PMP, and expertise in complex projects tend to earn the highest compensation.

What do data project managers do?

Data project managers oversee data-related projects by coordinating teams, defining project scope, setting timelines, and ensuring deliverables meet business objectives. They often use project management tools and require knowledge of data analysis and databases to facilitate effective communication between technical and non-technical stakeholders.
What are popular job titles related to Data Project Manager jobs in Wisconsin? For Data Project Manager jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Project Manager jobs? Cities in Wisconsin with the most Data Project Manager job openings:
Data Management - Certified Project Manager IV/Sr.

Data Management - Certified Project Manager IV/Sr.

Goli Tech

Madison, WI • On-site

$52.25 - $70.50/hr

Contractor

Posted 14 days ago


Job description

Candidates MUST be WI residents or willing to relocate to WI at their own expense prior to starting. This position can work 100% remotely (within the state of WI).Job Description

We have an immediate opening at the Department of Employee Trust Funds (ETF) for a Project Manager / Scrum Master. Our team is responsible for BI/Analytics, a data lake platform, master data management (MDM), data integration, data conversion, data quality, data architecture, data modeling, data literacy, and data governance. Data is one of our most valuable assets and we strive to become a more data-literate and data-driven organization. This position will work on a small, collaborative team that uses agile practices to deliver value to our business partners. This position must have strong analytical and problem-solving skills with the ability to think critically and identify innovative solutions. This position must have strong technical knowledge in data management.

Key requirements
  1. Experience leading and managing large, complex enterprise-level projects consisting of multiple agile teams using Scrum/agile methodologies. Must have experience leading projects for business intelligence and data warehousing.
  2. Knowledge of both agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment.
  3. Experience defining project scope and schedule while focusing on regular and timely delivery of value; organizing and leading project status and working meetings; preparing and distributing progress reports; managing risks and issues; correcting deviations from plans; and performing delivery planning for assigned projects.
  4. Experience in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring and developing team members.
  5. Experience assembling project plans and teamwork assignments, directing and monitoring work efforts daily, identifying resource needs, performing quality review; and escalating functional, quality, timeline issues appropriately.
  6. Sufficient technical experience with data management and analytics to provide highly credible leadership to technical teams and to be able to accurately and objectively evaluate complex project risks and issues.
  7. Provide leadership for release management.
  8. Managing team progress/status through JIRA.
  9. Ability to coordinate data management software upgrades and provide appropriate communication to impacted stakeholders.
  10. Demonstrated interpersonal and communication skills, ability to influence others and to interact with individuals at all levels.
  11. Ability to work productively with cross-functional working groups and across organizational layers.
  12. Strong interpersonal skills including mentoring, coaching, collaborating, and team building.
  13. Ability to develop and deliver presentations to both technical and non-technical audiences.
  14. Knowledge and understanding of business needs with the ability to establish/maintain high level of customer trust and confidence.
  15. Solid understanding of and demonstrated experience in agile project management tools such as Jira or equivalent.
  16. Preferred experience implementing SAFe (Scaled Agile Framework)

Top Skills & Years of Experience:

  • Minimum of 5 years in a scrum-master role leading scrums for business intelligence and data warehousing.
  • Minimum of 5 years in a project manager role leading Agile technical projects.
  • Minimum of 5 years in large, complex enterprise-level projects consisting of multiple teams

Nice to Have Skills:

  • Experience implementing SAFe (Scaled Agile Framework)
  • Experience using Jira
  • PMP certification is nice to have but not required

Required Skills : Scrum Master

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No