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Data Warehouse Project Manager Jobs (NOW HIRING)

Lead a cross functional agile team to deliver on projects, providing thought leadership and ... Manage data within the data warehouse to ensure efficiency of platform. * Work with operational ...

Warehouse Manager

Manassas, VA ยท On-site

$70 - $100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working closely with the Warehouse Project Manager, the Warehouse Manager ensures that customer equipment and project materials are received, stored, tracked, staged, and delivered according to ...

Data Warehouse Architect #1062470

Lansing, MI ยท On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lansing, Michigan Data Warehouse Architect #1062470 Position Description: The position functions as ... Provide professional technical expertise to the DTMB AS PMO Managers and client agency managers and ...

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Data Warehouse Analyst

Tallahassee, FL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Manage data replication, extraction, loading, cleansing, and data modeling for data warehouses ... Ability to work on multiple projects and lead projects of moderate complexity. * Capability to ...

What You'll Do Our Data Warehouse Engineer will be part of a team that will manage the operations ... project ownership then we want to hear from you. Take a peek! * * Works closely with IT partners ...

$86K - $130K/yr

The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing ... Manages requests and/or components of larger projects with appropriate documentation and status ...

Data Warehouse Testing

Torrance, CA

$18.50 - $24/hr

Title: Data Warehouse Testing Location: Torrance, CA Duration: 6+ Months Must Have Skills ... Manage large portfolios with multiple projects * Work with Business and other stakeholders to ...

Showing results 41-60

Data Warehouse Project Manager information

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$25K

$125.9K

$171K

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

As of Aug 20, 2026, the average yearly pay for data warehouse project manager in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 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.
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Infographic showing various Data Warehouse Project Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

Data Warehouse Sr. Manager

Huntington

Columbus, OH โ€ข On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Description

Summary:

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work closely with the Chief Data & Analytics Office to influence the business and technology strategies for the company.


If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you.


You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs.

Duties and Responsibilities:

  • Manage a team of colleagues and contractors, providing resource allocation, coaching and development.
  • Lead a cross functional agile team to deliver on projects, providing thought leadership and technology oversight.
  • Participate in demand management and planning, assessing impact, feasibility and estimating work effort.
  • Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.
  • Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics.
  • Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.

Basic Qualifications:

  • Bachelor's Degree
  • 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.
  • 7+ years of experience as a technology manager for data warehouse teams.

Preferred Qualifications:

  • Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value. Thought leadership in next-evolution modern data architectures. Best practice EDW testing and validation approaches and implementation.
  • Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations.
  • Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization.
  • Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements.
  • Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.
  • Experience with cloud technologies including AWS and Snowflake.
  • Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler.
  • Experience with data governance and data management approaches, including data quality.
  • Experience with business intelligence and advanced analytics.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.