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Data Project Management Jobs (NOW HIRING)

Monster Energy

Product Data Project Manager

Corona, CA · On-site

$75K - $88K/yr

In the position of Product Data Project Manager, you will Lead end-to-end cross-functional ... Prefer a Bachelor's Degree in the field of Supply Chain Management, Industrial Engineering ...

Monster Energy

Product Data Project Manager

Corona, CA · On-site

$75K - $88K/yr

In the position of Product Data Project Manager, you will Lead end-to-end cross-functional ... Prefer a Bachelor's Degree in the field of Supply Chain Management, Industrial Engineering ...

Mercor

Project Manager, Data Team

San Francisco, CA · On-site

$130K - $180K/yr

Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff. * Take ...

New

Lorven Technologies

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 ...

Vergence

Senior Technical Project Manager

Indianapolis, IN · On-site

$104K - $142K/yr

Must-Haves: • Government/State project experience (required) • Strong tech and data project management background • Highly professional executive presence • Ability to build and drive a ...

MustardSeed PMO

PMO Data Analyst

Chicago, IL · Remote

Salary: $80,000K - $95,000K PMO Data Analyst Location: Remote, US Only About the Role: MustardSeed is seeking a PMO Data Analyst to help turn project data, client artifacts, schedules, risk logs ...

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Data Project Management information

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How much do data project management jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data project management 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.

Is 40 too late for data science?

Data project management roles in data science often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, R, or SQL and gaining certifications can help facilitate this shift, regardless of age.

How does a Data Project Manager typically collaborate with data engineers and analysts during a project lifecycle?

As a Data Project Manager, you will frequently act as a bridge between data engineers, analysts, and other stakeholders. Your role involves coordinating tasks, clarifying project requirements, and ensuring smooth communication among team members. You'll facilitate regular meetings to track progress, resolve any data-related challenges, and adjust timelines as needed. By fostering collaboration, you help ensure that technical teams deliver actionable insights on schedule and that business goals are met efficiently.

What is the difference between Data Project Management vs Data Analyst?

AspectData Project ManagementData Analyst
Primary FocusOverseeing data projects, coordinating teams, ensuring project deliveryAnalyzing data sets to extract insights and generate reports
Required SkillsProject management, communication, data understandingStatistical analysis, data visualization, SQL
CertificationsPMP, Certified ScrumMaster, Data Management certificationsMicrosoft Excel, SQL, Tableau certifications
Work EnvironmentProject teams, cross-functional collaboration, client interactionData analysis tools, reporting platforms, data warehouses

Data Project Management and Data Analysts both work with data, but their roles differ. Data Project Managers focus on leading data initiatives, coordinating teams, and ensuring project success. Data Analysts concentrate on analyzing data to provide insights. Understanding these differences helps in choosing the right career path or hiring the right professional.

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 a solid background in project management, data analysis, and familiarity with methodologies like Agile or Scrum, often supported by a degree in a related field and certifications such as PMP or Certified ScrumMaster. Proficiency with project management tools (e.g., Jira, Trello), data visualization platforms (e.g., Tableau, Power BI), and database systems is typically required. Strong communication, leadership, and problem-solving skills help foster collaboration among technical and non-technical stakeholders. These skills ensure data projects are delivered on time, within scope, and aligned with organizational objectives.

What is Data Project Management?

Data Project Management involves overseeing projects that focus on collecting, analyzing, and utilizing data to achieve specific business goals. This role requires managing timelines, resources, and teams to ensure data initiatives are delivered successfully. Data project managers coordinate between data engineers, analysts, stakeholders, and other departments to define project requirements and deliverables. They also ensure that data quality, privacy, and security standards are met throughout the project lifecycle.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Senior data managers or those with specialized skills in data governance or analytics can earn higher salaries, often exceeding $130,000. Certifications like Certified Data Management Professional (CDMP) can also influence compensation.

What are the 4 types of project managers?

In project management, four common types of project managers are functional, projectized, matrix, and hybrid managers. Functional managers work within specific departments, projectized managers oversee entire projects independently, matrix managers operate across departments with shared authority, and hybrid managers combine elements of these styles based on project needs. Understanding these types helps in selecting the right management approach for data projects and utilizing appropriate tools and certifications.

What does a data project manager do?

A data project manager oversees data-related projects by planning, coordinating, and ensuring timely delivery of data solutions. They work with data analysts, engineers, and stakeholders to define project scope, set deadlines, and manage resources, often using tools like project management software. Strong organizational, communication, and technical skills are essential for success in this role.
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Data Project Management jobs near you
Infographic showing various Data Project Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% 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

$75K - $88K/yr

Full-time

Posted 5 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, 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.

Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location.
Pay Range
$75,000-$88,534 USD
For United States applicants:
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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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

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