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Enterprise Data Warehouse Project Manager Jobs (NOW HIRING)

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

... Warehouse. Builds dashboards to modernize analytics and assists management with special data projects. Business Support - Enforces data policies and procedures across the enterprise. Encourages ...

Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key ... warehouse, data analytics projects, and/or any Information Management related projects * Lead ...

Data Warehouse Developer

New York, NY · On-site

$54 - $73.75/hr

Sr Enterprise Data Warehouse Developer NYC (hybrd role) Look candidates within NY Must-haves: Data Warehousing expert Sourcing data, transforming data, star schema, landing, dimensions, data ...

Data Warehouse Developer

Irving, TX · On-site

$47.25 - $64.75/hr

Build and optimize enterprise data warehouse solutions supporting operational reporting and ... Experience with data governance, data quality, and master data management initiatives. What Success ...

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Enterprise Data Warehouse Project Manager information

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How much do enterprise data warehouse project manager jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for enterprise data warehouse project manager in the United States is $62.39, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $73.08 per hour, depending on experience, location, and employer.

What does an enterprise data warehouse project manager do?

An Enterprise Data Warehouse (EDW) Project Manager oversees the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data professionals, manage project timelines and budgets, and ensure that the data warehouse meets business requirements. Their role includes stakeholder communication, risk management, and ensuring data quality and security. Overall, they play a crucial role in enabling organizations to effectively store, manage, and analyze large volumes of data for strategic decision-making.

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

To thrive as an Enterprise Data Warehouse Project Manager, you need project management expertise, a strong understanding of data warehousing concepts, and experience with data integration, often supported by a bachelor’s degree in IT or related fields and certifications like PMP. Familiarity with ETL tools (such as Informatica or Talend), data modeling software, SQL, and project management systems like Jira or MS Project is typically required. Excellent communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These skills and qualities are crucial for delivering projects on time, ensuring data integrity, and aligning solutions with organizational goals.

What are some common challenges faced by enterprise data warehouse project managers when coordinating cross-functional teams?

Enterprise Data Warehouse Project Managers often encounter challenges in aligning the priorities and timelines of cross-functional teams such as data engineers, business analysts, and IT stakeholders. Managing diverse expectations, ensuring consistent communication, and addressing data integration complexities are typical hurdles. Successful project managers proactively foster collaboration through regular status meetings, clear documentation, and transparent goal-setting to keep all teams aligned and projects on track.

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

AspectEnterprise Data Warehouse Project ManagerData Analyst
Required CredentialsProject management certifications (PMP), relevant data warehousing knowledgeDegree in data science, statistics, or related field; often certifications like Microsoft Data Analyst Associate
Work EnvironmentOversees data warehouse projects, collaborates with IT and business teamsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in organizations with large data infrastructure, including finance, healthcare, retailCommon across industries for data-driven roles, often within analytics teams

The Enterprise Data Warehouse Project Manager focuses on leading data warehouse initiatives, coordinating teams, and ensuring project delivery. In contrast, the Data Analyst primarily analyzes data, creates reports, and supports business insights. While both roles work with data, their responsibilities, skills, and focus areas differ significantly.

What cities are hiring for Enterprise Data Warehouse Project Manager jobs?

Cities with the most Enterprise Data Warehouse Project Manager job openings:

What states have the most Enterprise Data Warehouse Project Manager jobs?

States with the most job openings for Enterprise Data Warehouse Project Manager jobs include:

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

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

Infographic showing various Enterprise 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 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,780 per year, or $62.4 per hour.

Senior Enterprise Data Analyst

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Re-posted 10 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz


Job description

Overview

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.


Responsibilities & Qualifications

Duties & Responsibilities:
Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics and assists management with special data projects.
Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
Business Strategy - Facilitates strategies that develop the Bank’s data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.
Position Specific Skills:
Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
Knowledge of data spreadsheets and databases
Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs
Ability to write SAS programming language


Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Skills: 

  • Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Proven track record of leading agile data product delivery across cross-functional teams using agile frameworks such as Scrum, SAFe, or Kanban
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases.
  • Advanced proficiency in writing complex SQL queries to perform data analysis on the complex data sets.
  • Ability to convert complex technical findings into clear, actionable narratives for both technical and non-technical stakeholders.
  • Ability to create dashboards using the tools Tableau and Power BI for reporting analysis.

Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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