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Data Project Manager Jobs (NOW HIRING)

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 ...

Senior Technical Project Manager

Indianapolis, IN · On-site

$104K - $142K/yr

This person will lead a long-term strategic initiative in the workforce space spanning AI, data ... Government/State project experience (required) • Strong tech and data project management ...

Data Analytics Project Manager

Austin, TX · On-site

$51.25 - $69.25/hr

Data Analytics Project Manager Austin, TX Contract(Onsite) Key Responsibilities End-to-End Project Management: Lead the planning, execution, and delivery of MDM initiatives. Develop project plans ...

Senior Project Data Manager

Philadelphia, PA

$52.25 - $70.75/hr

Acts as Project Leader on a stand alone contract ("project") for Data Management, to include: a. primary customer contact for all contracted Data Management; b. direct liaison with Finance and ...

Data Analytics Project Manager

Boston, MA · On-site

$56.25 - $76/hr

Data Analytics Project Manager Onsite 3-4 days per week/WFH 1-2 days per week Company Summary: As a national leader in the construction industry, we are redefining what it means to build. We ...

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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 2, 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.
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Data Project Coordinator

Data Project Coordinator

KIDZ Medical Services

Miami, FL • On-site

Part-time

This job post has expired today. Applications are no longer accepted.


Job description


SUMMARY: The Data Project Coordinator uses project management skills and excel data management and reporting skills to effectively lead cross-functional teams to achieve desired outcomes. Professionalism, ability to execute and operationalize projects, and effective communication are essential to success in the role.

DUTIES AND RESPONSIBILITIES:

Project Management & Execution

  • Ensures project deliverables are completed with high quality, on time, and within budget guidelines.
  • Performs under minimal supervision with accountability for assigned goals and objectives.
  • Facilitates team and project status meetings to keep initiatives on track.
  • Communicates relevant project updates and risks effectively to leadership.

Data Management & Reporting

  • Collects, analyzes, and synthesizes data from multiple sources to support decision-making.
  • Produces routine and ad hoc reports, interprets findings, and tracks organizational performance.
  • Extracts and reports data from the EHR, ensuring accuracy, consistency, and reliability.

EHR Support & Optimization

  • Assists with clinical configuration within the EHR to ensure functionality meets operational and end-user needs.

Strategic Support & Performance Improvement

  • Partners with executive leadership and departments to develop and support performance improvement initiatives focused on quality, service, and efficiency.

Collaboration & Relationship Management

  • Builds and maintains productive, positive working relationships across the organization.

Administrative & General Support

  • Provides administrative support as needed.
  • Performs other related duties as assigned by management.

QUALIFICATIONS

  • High school diploma or general education degree (GED), or two to three years related experience and/or training, or equivalent combination of education and experience.
  • Associate degree (AA) or equivalent from a two-year college or technical school, or one to two years related experience and/or training, or equivalent combination of education and experience.
  • Bachelor's Degree (BA) from four-year college or university, or 6 months to a year of related experience and/or training, or equivalent combination of education and experience.
  • Healthcare experience and/or training preferred but not required
  • Certificates, licenses and registrations Preferred but not required: Data analytics
  • Computer skills required: Microsoft Office Excel, Word, PowerPoint, Outlook
  • Ability to utilize Excel functions like pivot tables, sorting, filtering, and in-cell formulas
  • Other skills required: Strong business acumen and critical thinking skills; excellent interpersonal, organizational, written and oral communication and presentation skills; Highly motivated, detail-oriented complex problem solver, with an ability to manage multiple initiatives simultaneously.