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Data Project Manager Jobs (NOW HIRING)

In the position of Product Data Project Manager supporting APAC, you will Lead end-to-end cross-functional management and prioritization of Bill of Material (BOM) creation and execution for assigned ...

Data Project Manager (Direct Mail)

Chicago, IL

$53.25 - $72.25/hr

As a Data Project Manager and member of the Agency Centralized PMO, you will serve as the connective hub across all agency disciplines - driving projects from inception through final execution. For ...

Data Project Manager (Direct Mail)

Chicago, IL · On-site

$53.25 - $72.25/hr

As a Data Project Manager and member of the Agency Centralized PMO, you will serve as the connective hub across all agency disciplines - driving projects from inception through final execution. For ...

Project Manager Data & AI

Miami, FL · On-site

$49.50 - $66.75/hr

Project Manager - Data & AI Location: Miami, FL - onsite Local consultants Contract Role We are seeking a highly organized and results-driven Project Manager - Data & AI to lead end-to-end delivery ...

Project Manager, Data Strategy

Los Angeles, CA · On-site

$55.75 - $75.50/hr

The Data Strategy Project Manager will drive data-focused projects from planning through delivery, with the business acumen to shape how data initiatives align with organizational goals and the ...

New

Mercor's Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You'll be the connective ...

Project Manager, Data Strategy

Raleigh, NC · On-site

$50.25 - $68/hr

The Data Strategy Project Manager will drive data-focused projects from planning through delivery, with the business acumen to shape how data initiatives align with organizational goals and the ...

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Data Project Manager information

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How much do data project manager jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for data project manager in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

Can I make 100k as a project manager?

Data Project Managers can earn $100,000 or more annually, especially with experience, certifications like PMP, and in high-demand industries or regions. Salary varies based on location, company size, and project complexity, with senior roles and specialized skills increasing earning potential.

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 are the 4 types of project managers?

In project management, four common types of project managers are functional, projectized, matrix, and hybrid. Functional managers work within specific departments, while projectized managers lead projects independently. Matrix managers balance both functional and project responsibilities, and hybrid combines elements of these approaches to suit organizational needs.

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.
More about Data Project Manager jobs
What cities are hiring for Data Project Manager jobs? Cities with the most Data Project Manager job openings:
What are the most commonly searched types of Data Project jobs? The most popular types of Data Project jobs are:
Who are the top companies hiring for Data Project Manager jobs? The top employers for Data Project Manager jobs are:
What states have the most Data Project Manager jobs? States with the most job openings for Data Project Manager jobs include:
Infographic showing various Data Project Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Product Data Project Manager

Product Data Project Manager

Monster Energy

Corona, CA • On-site

Other

Posted 12 days ago


Job description

About Monster Energy:

Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.

A Day in the Life:

In the position of Product Data Project Manager supporting APAC, you will Lead end-to-end cross-functional management and prioritization of Bill of Material (BOM) creation and execution for assigned region, serving as the central point of accountability and align stakeholders across Technical Operations, Supply Chain, and regional teams to deliver on business priorities. Leverage deep expertise in SAP transaction processes, Master Data Governance (MDG), GS1 standards, and Product Lifecycle Management (PLM) systems to define and drive strategic BOM setup approaches within the broader Technical Operations workflow. Apply end-to-end supply chain knowledge to solve complex BOM challenges, ensure GS1 compliance, and optimize product data management.

The Impact You'll Make:
  • Lead strategic Product Scope process, establishing BOM priorities across assigned region while applying end-to-end supply chain expertise to optimize workflows and ensure alignment with business objectives.
  • Own strategic BOM setup through MDG process, leveraging SAP expertise to troubleshoot complex data issues, develop innovative workarounds, and maintain product data integrity across systems.
  • Mentor and train cross-functional BOM members on GS1 standards compliance, SAP transaction processes, and BOM setup best practices; host 'systems readiness' meetings to ensure cross-functional alignment.
  • Lead assigned region Product Data team in resolving complex supply chain data challenges, applying GS1 rules knowledge to ensure compliant product identification and transaction accuracy within SAP.
  • Collaborate with Project Managers to build strategic project timelines, providing supply chain insights for BOM setup optimization and new product introduction success.
Who You Are:
  • Prefer a Bachelor's Degree in the field of Supply Chain Management, Industrial Engineering, Operations Management, or related business field. Master's degree preferred.
  • Additional Experience Desired: Between 3 - 5 years of experience in end-to-end supply chain operations with demonstrated expertise in SAP product data management, GS1 standards, and BOM/master data governance.
  • Computer Skills Desired: Proficiency with SAP (MM/PP modules), MDG, GS1 data standards tools; PLM experience preferred.
  • Preferred Certifications: Six Sigma Black belt and/or PMP preferred.
  • Additional Knowledge or Skills to be Successful in this role: Proven background in an analytical function focusing on optimizing efficiencies and cross-functional team leadership. Creative and systematic mindset to navigate in a dynamic environment requiring a flexible but disciplined approach.
  • Some flexibility around hours, 10am-7pm on occasion 

Monster Beverage logo

About Monster Beverage

Sourced by ZipRecruiter

Monster Beverage Corporation, headquartered in Corona, CA, US, is a leading player in the beverage industry. Founded in April 1935, originally under the name Hansen's Natural, the company is best known for its remarkably popular line of energy drinks—Monster Energy. The company's portfolio extends beyond energy drinks to include natural beverages, fruit drinks, soda, and more, solidifying its robust presence in the beverage sector. The company was officially renamed to Monster Beverage in 2012, showcasing the strong brand value that its signature Monster Energy drinks have accrued. The mission of Monster Beverage is to innovate and deliver quality beverages that exceed consumer expectations. They've set new industry standards for quality by using the best ingredients in their beverages. Monster Beverage's notable achievements include expanding its products reach to up to 127 countries globally and consistently earning spots in the Forbes 2000 top performing public companies list.

Company size

1,001 - 5,000 Employees

Headquarters location

Corona, CA, US

Year founded

1935