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Data Project Management Jobs in Florida (NOW HIRING)

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 ...

H5 Data Centers

Data Center Project Manager

Tampa, FL · On-site

$125K - $130K/yr

Provide Management status of all active Data Center projects and Key Performance indicators. * Lead internal resources and vendors in the execution of Data Center deployments and builds.

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How much do data project management jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for data project management in Florida is $42.98, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $50.29 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.
What are popular job titles related to Data Project Management jobs in Florida? For Data Project Management jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Project Management jobs in Florida look for? The top searched job categories for Data Project Management jobs in Florida are:
Data Project Management jobs near you
Data Project Coordinator

Data Project Coordinator

KIDZ Medical Services

Miami, FL • On-site

Part-time

Re-posted 5 days ago

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.