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Data Warehouse Project Manager Jobs in Michigan (NOW HIRING)

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

... data warehouse product selection, design and implementation. - Play key roles in large projects ... Technical Project Managers. - Learn new things, and grow rapidly from constant exposure to ...

HireITPeople

Data Warehouse Architect 5

Lansing, MI · On-site

Data Warehouse Architect 5, IBM DataStage, IBM Cloud Pak for Data (CP4D), Teradata 20, SQL/BTEQ ... Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality ...

Proactivemgmt

Technical Project Manager

Troy, MI · On-site

$100 - $125/hr

Experience with data warehousing, hyperautomation, and AI/ML is a plus. * Excellent English communication, interpersonal management, project leadership, and presentation skills. * Ability to work ...

Prohires

Data Warehouse Architect - (Local to MI)

Lansing, MI · On-site

$64.75 - $83.25/hr

Data Warehouse Architect (Level 5) - Solutions Architect Location: Lansing, MI Client: SOMI Need ... and managing the architectural exceptions to ensure architectural integrity of Enterprise Data ...

Delan Associates, Inc.

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

... Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct ... Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data ...

Delan Associates, Inc

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

... Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct ... Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data ...

Prophecy Technologies

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

... Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct ... Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data ...

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Data Warehouse Project Manager information

See Michigan salary details

$10K

$100.4K

$157.6K

How much do data warehouse project manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data warehouse project manager in Michigan is $100,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a data warehouse project manager?

Data Warehouse Project Managers are professionals responsible for overseeing the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data engineers, analysts, and stakeholders to ensure that data storage, integration, and reporting solutions are implemented on time and within budget. Their role involves managing project timelines, resources, risks, and communication, as well as ensuring that the data warehouse meets business requirements. They also play a crucial part in aligning technical solutions with organizational goals and regulatory standards.

What are the key skills and qualifications needed to thrive as a data warehouse project manager?

To thrive as a Data Warehouse Project Manager, you need strong project management skills, a background in data warehousing concepts, and experience with data modeling, ETL processes, and database systems. Familiarity with tools like Microsoft Project, Jira, SQL, and data integration platforms, as well as certifications such as PMP or Agile, are typically required. Excellent communication, leadership, and problem-solving skills help facilitate collaboration among technical and business stakeholders. These abilities ensure projects are delivered on time, within scope, and aligned with organizational data strategy.

What are the main challenges faced by a data warehouse project manager when coordinating between business stakeholders and technical teams?

A significant challenge for Data Warehouse Project Managers is bridging the gap between business stakeholders, who focus on data-driven insights, and technical teams, who handle complex architectures and data integration. Ensuring clear communication around requirements, timelines, and deliverables is essential, as misalignment can lead to project delays or unmet objectives. Successful managers facilitate regular meetings, translate business needs into technical specifications, and proactively address roadblocks to keep everyone aligned throughout the project lifecycle.

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

AspectData Warehouse Project ManagerData Analyst
Required CredentialsBachelor's in IT, Business, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires SQL, Excel, and data visualization skills
Work EnvironmentLeads projects, manages teams, coordinates between stakeholders in data warehousing projectsAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data infrastructure, IT departments, data-driven companiesCommon across industries for business insights, marketing, finance, and operations

The Data Warehouse Project Manager focuses on overseeing data warehousing projects, managing teams, and ensuring project delivery. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions. Both roles require strong analytical skills, but their responsibilities and focus differ significantly.

Is data warehouse a good career?

A Data Warehouse Project Manager plays a key role in overseeing data integration and storage projects, requiring skills in database management, SQL, and project coordination. The field offers strong job growth, competitive salaries, and opportunities to work with advanced analytics tools, making it a viable career choice for those interested in data management and technology. Continuous learning and certifications can enhance career prospects in this field.

What are popular job titles related to Data Warehouse Project Manager jobs in Michigan?

For Data Warehouse Project Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Project Manager jobs in Michigan look for?

The top searched job categories for Data Warehouse Project Manager jobs in Michigan are:

What cities in Michigan are hiring for Data Warehouse Project Manager jobs?

Cities in Michigan with the most Data Warehouse Project Manager job openings:

Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $100,392 per year, or $48.3 per hour.

Data Warehouse Architect - Solutions Architect

Zenfreed LLC

Lansing, MI • On-site

$64.75 - $83.25/hr

Full-time

Medical, Dental, Vision

Posted 4 days ago

Job description


Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emergingindustry capabilities for modern Enterprise Data Platform (EDP), developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes.
JobDuties
  • Excels in tracking emerging industry capabilities for modern Data Platforms,
  • Developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the
  • enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes
  • Designs, implements, and supports MDHHS data warehouse and analytics platform modernization initiatives
  • Recommends and leads State of Michigan teams in adopting emerging cloud-based data services, analytical tools, and other modern technologies.
  • Oversees the organizational sustainability of data warehouse and data analytics process improvement. The Data Platform Architect's responsibilities include:
  • Design and maintain the overall architecture for enterprise data platforms, ensuring scalability, reliability, and alignment with business objectives.
  • Oversee the implementation of modern data platform components, such as storage, streaming, and orchestration services, and ensure they function cohesively.
  • Establish governance frameworks for data quality, security, metadata management, and compliance with organizational and regulatory requirements.
  • Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmap initiatives.
  • Responsible for selection of appropriate hardware, software, tools and system lifecycle techniques for different components of data warehouse architecture including ETL, Metadata, data profiling software, performance monitoring, reporting and analytic tools

Requirements
5 years:
  • Experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy.
  • Experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise.
  • Experience in developing Enterprise Data Technology Strategies, articulating the use of the Data Engineering Delivery Methodologies, building the Data Engineering Standards & Best Practices to ensure alignment of Data/Analytics/ML Products with the Target State Architecture, and promoting the use of the Data Engineering products in the community of Users using industry standard Enterprise Architecture frameworks such as TOGAF, FEAF, DODAF etc.

3 years:
  • Experience in driving RFP process of selecting Data PlatformTechnologies, partnering with vendors to co-develop innovative EDP capabilities, drivingEDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc.

Expertise in driving innovation related to modern data technology platforms through conducting Proofs of Concepts, Codathon, and Co- development with technology vendors, to fully comprehend the business capabilities feasible from emerging technologies to design effective Proofs of Concepts and lead the execution of POCs in Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree
Experience in the full technology stack within an Enterprise Data Platform offering of any CSP to help an enterprise set up the initial fully functioning instance of an EDP containing all the required tools to enable the Data Engineering team in conducting Proofs of Concepts and operationalizing the Product Environment for the delivery of Data Engineering products including Data/Analytics/ML pipelines.
Experience in driving the procurement process (RFI/RFP etc.) in a large enterprise to select the Cloud Service Provider vendor for building and hosting the EDP.
Experience in architecting Data Services Portfolio and Data Products that are aligned with the industry best practices and internal data
engineering capabilities.
Expertise in baking in the Data Governance standards and best practices into the development and usage of the Data Engineering Products including the Data/Analytics/ML pipelines and Data/Analytics/ML Products.
Experience in enforcing the adherence to the implementation of Data Security Standards and Best Practices into the Data
Engineering Products including Data/Analytics/ML Products and Data Pipelines to minimize data security vulnerabilities.
DesiredSkills
  • Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks
  • Demonstrated experience in Supporting the enterprise in ensuring that all the Data Engineering efforts such as POCs, early implementations, and technology refresh of legacy systems etc. are aligned to help the Data Engineering team stay focused on systematically building and maturing the required technical and delivery capabilities
  • Experience in tracking the Architectural adherence of Data Engineering Products and Pipelines to the Enterprise Architecture Standards and Best Practices and supporting the Data Engineering team to systematically enhance their capability maturity in delivering high-quality Data Engineering Products.
  • Key Programming Languages: SQL, Python, R, Java
  • Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI,

MinimumEducation
  • Bachelor'sDegree

Location
  • Open to local candidates or those willing to relocate BUT they must relocate from day one AND they must come on-site for 2nd round interview. Candidates not willing to do this will not be considered.
  • Positionis ahybrid schedulewith NO remote-only option. Wednesdays and Thursdays are required on-site days (non-negotiable)
  • WorkinghoursMonday-Friday,approximately8:00 a.m. to5:00p.m.
AdditionalRequirements
  • Must be authorizedtowork in the UnitedStates; We are unable to offersponsorships atthis time
  • Must undergo a background checkand drugscreening foremployment.

EmploymentTerms
  • This is a W2 position
  • 40 hrs per week
  • HYBRID schedule - NO remote-only option. Wednesdays and Thursdays are required on-site days (non-negotiable)

AboutZenfreed
AtZenfreed, we are more than an IT company. We bridgethegap between people wanting to do the work they were meant to doand organizations needing the right talent.
We are dedicated to building a diverse,inclusive and authenticworkplace, so if you're excitedabout this role but your pastexperience doesn't alignperfectly with every qualification in thejob description,we encourage you to apply anyway. You may be justthe rightcandidate for this or other roles.
Benefits
We understand a comprehensive benefits package is crucial toemployment satisfaction. We offer medical, dental and vision coverageoptions for all employees.

Apply