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Data Warehouse Project Manager Jobs in Arizona (NOW HIRING)

... managing project communication, project risks, and team dynamics • Ensure that the project ... Data Warehousing concepts. • Good communication skills required • Extensive experience in PM ...

Experience in databases like Oracle/SQL/Teradata Experience managing multiple BI development Projects with good Business Intelligence and Data Warehousing concepts. Good communication skills required ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

... projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc At least 2 years ... senior business managers and executives Required Skills : Data Warehouse Basic Qualification

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

... projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc At least 2 years ... senior business managers and executives Required Skills : Data Warehouse Basic Qualification

Data Management & Analysis: * Collect, analyze, and report daily warehouse operational metrics, inventory accuracy, and productivity data. * Utilize Advanced Excel and data management tools to ...

Partner with development teams and DBAs to understand data management and governance protocols ... Planning - Accurately scopes out length and difficulty of tasks and projects; sets objectives and ...

Partner with development teams and DBAs to understand data management and governance protocols ... Planning - Accurately scopes out length and difficulty of tasks and projects; sets objectives and ...

Showing results 21-40

Data Warehouse Project Manager information

Is data warehouse project manager a good career?

A data warehouse project manager oversees the planning, execution, and delivery of data warehouse projects, requiring skills in project management, data architecture, and tools like SQL and ETL processes. It is a growing field with demand for professionals who can manage complex data initiatives and ensure data quality and security. The role offers opportunities for advancement and typically requires relevant certifications such as PMP or data management credentials.

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.

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 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 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 popular job titles related to Data Warehouse Project Manager jobs in Arizona? For Data Warehouse Project Manager jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Data Warehouse Project Manager job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Full-time

Re-posted 14 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Job Description Summary
The Data Governance Manager is accountable in defining data policies that will govern data management procedures involving the specific business unit's data elements and requirements. He/she proactively ensures data quality is maintained and with data privacy compliance; collaborates cross functional data interfaces; and enables the Analytics Team to deliver relevant and accurate models and insights as well as drive action within the enterprise to ensure that data is available, usable, consistent and secure. Leads data issue resolution efforts, necessarily involved in systems and applications implementation, enhancement and migration owned by their particular business unit.

DUTIES AND RESPONSIBILITIES:

Process

  • Establish Data Governance Policies that covers the data lifecycle of their business unit stakeholder

  • Establish procedures for data security and privacy regulation compliance. This includes defining and assuring compliance to securing how data is collected, stored, accessed, shared, and used within the organization (ie Data Governance framework).

  • Define, Track and Manage Data Quality KPIs and consolidate across the enterprise

  • Implement controls and compliance metrics to reduce data issues and improve data quality

  • Develop evaluation methods, data profiling and establish data lineages to provide their specific internal customers with feedback and recommendations for improvements in data management and governance process, standards and guidelines

  • Design processes and relevant trainings as well as lead initiatives to ensure alignment of different data owners to data policies

Business

  • Report and escalate to the Data Governance Council data quality issues/improvements with corresponding recommendations on data management and governance strategies as recommended resolutions.

  • Collaborates with reporting and operational segments to ensure data quality standards are met, errors and root causes identified

  • Identify, prioritize and lead Enterprise-wide data governance initiatives to deliver substantial improvements in data quality, availability and usability across the enterprise

  • Plan, manage, monitor and communicate data policies, including data quality KPIs to stakeholders throughout the process.

  • Align data governance with strategic business objectives by ensuring that DG policies aligns with the organizations' goals and scorecard metrics (Core KPIs) and be able to prioritize critical measure including defining SLAs for issue resolutions depending on the significance of impacted stakeholders - customer, revenue, reporting and analytics.

People

  • Manage and drive teams to run and deliver initiatives designed to resolve data quality issues

  • Manage project risks and issues and manage stakeholder's expectations on initiatives started and follow through on benefits realizations.

  • Mentor team members and provide training as needed.

REQUIREMENTS:

Must Have:

  • 3-5 years of experience in SQL and Data Analysis.

  • 3 years of experience in any of Master Data, Data Quality, Data Integration

  • 3 years of experience with implementing or managing enterprise-scale data warehouse or data management projects - understanding data tools

  • 5 years of experience in working with data management teams

  • 3 years of enterprise scale data warehouse

  • Ability to understand the key drivers, dependencies and risks

  • Strong understanding of data tools (cleansing, master data management, metadata, etc.) and data quality policies and procedure

  • Meticulous attention to detail with an overall passion for discipline

  • Ability to understand and assess potential risk

  • Deep understanding of data governance, data management principles/processes

  • Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree

Nice To Have:

  • 3 years of experience managing people or leading project teams

  • 3 years of experience with implementing or managing enterprise-scale data warehouse or data management projects

  • Certification in relevant database and business intelligence

  • Understanding of billing, provisioning applications

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.