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Data Project Manager Jobs in Monroe, NC (NOW HIRING)

Data Center Project Manager

Charlotte, NC · On-site

$118K/yr

About the Role Are you a strategic builder who thrives in fast-paced, high-stakes environments? We're looking for an experienced Project Manager to lead large-scale hyperscale data center ...

Data Center Project Manager Location: Charlotte, NC Employment Type: Full-Time Compensation: $70-100k DOE Position Overview We are seeking an experienced Data Center Project Manager to lead mission ...

... data center & network related projects. • Overall Program / project management skills. • Managing CC related Projects. • The PM will be responsible for driving the full lifecycle of project ...

Project Manager - Public Health Position Summary The Project Manager, under limited supervision, is ... Data collection, reporting, and performance measurement * Federal, state, and local public health ...

Project Manager - Public Health Position Summary The Project Manager, under limited supervision, is ... Data collection, reporting, and performance measurement * Federal, state, and local public health ...

Prepares data and provides interpretation/opinion * Performs day-to-day control of a project ... Keeps management apprised of issues and resolution statuses, as needed * Ensures all projects have ...

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Data Project Manager information

See Monroe, NC salary details

$15

$53

$74

How much do data project manager jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data project manager in Monroe, NC is $53.32, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $62.40 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.
What job categories do people searching Data Project Manager jobs in Monroe, NC look for? The top searched job categories for Data Project Manager jobs in Monroe, NC are:
What cities near Monroe, NC are hiring for Data Project Manager jobs? Cities near Monroe, NC with the most Data Project Manager job openings:
Infographic showing various Data Project Manager job openings in Monroe, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,898 per year, or $53.3 per hour.

Technical Project Manager (GenAI, Data)

Texas State Library and Archives Commision

Charlotte, NC • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
We are seeking an experienced Gen AI Data Project Manager to lead and manage AI-driven data initiatives. The ideal candidate will combine strong project management skills with a good understanding of Generative AI, data engineering, and analytics. You will be responsible for planning, coordinating, and delivering end-to-end data projects that leverage Gen AI technologies to drive business value.
Key Responsibilities:
• Lead cross-functional teams to deliver Gen AI-based data projects on time and within scope.
• Define project scope, objectives, timelines, and deliverables in collaboration with stakeholders.
• Manage project life cycle from planning to deployment, ensuring alignment with business goals.
• Coordinate between data scientists, engineers, architects, and business stakeholders.
• Track progress using tools like Jira, Azure DevOps, or equivalent, and report on KPIs.
• Identify risks, manage dependencies, and implement mitigation strategies.
• Ensure ethical AI practices, data governance, and compliance in Gen AI applications.
Required Skills & Qualifications:
• 10+ years of experience in project management, with at least 2 years in AI or data-driven environments.
• Strong understanding of Generative AI concepts, LLMs, NLP, and AI model development lifecycle.
• Background in data management, AI/ML, or analytics projects is required.
• Proven experience working with cloud platforms (AWS, Azure, or GCP).
• Proficient in project management tools (Jira, Asana, MS Project).
• Strong organizational, leadership, and communication skills.
• PMP, PRINCE2, or Agile/Scrum certification preferred.