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Data Project Management Jobs (NOW HIRING)

Tesla

Data Project Manager, Optimus

Palo Alto, CA

$72K - $198K/yr

You'll manage data collection projects from start to finish, ensuring high quality, quantity, diversity, and alignment with our AI goals. What You'll Do * Lead projects from planning to delivery ...

Embtel Inc

Technical Data Project Manager

Dallas, TX · On-site

Technical Data Project Manager Location: Dallas, TX (onsite day 1) Only Locals preferred. Contract JD : * Banking industry experience * Data program experience * Played technical role earlier in the ...

Beacon Systems, Inc

Data Architecture Project Lead

Austin, TX · Hybrid

$51.25 - $69.25/hr

Data Project Manager Location: Austin, TX (Hybrid) 3 days remote with 2 days (Wednesdays and Fridays) required to be onsite Duration: 3 months+ 1 Year extension possible Role Overview: This role ...

Vergence

Senior Technical Project Manager

Indianapolis, IN · On-site

$104K - $142.60K/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 ...

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How much do data project management jobs pay per hour?

As of Jun 2, 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.

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.

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 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 90% of a project manager's job?

For a project manager, about 90% of the job involves planning, coordinating, and overseeing project activities to ensure timely delivery within scope and budget. This includes managing teams, communicating with stakeholders, and using tools like Gantt charts or project management software. The focus is on execution, risk management, and maintaining project quality.

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.

More about Data Project Management jobs
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Data Project Management jobs near you
Infographic showing various Data Project Management job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Technical Project Manager (GenAI, Data)

Texas State Library and Archives Commision

Charlotte, NC • On-site

Full-time

Posted just now

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.

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