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Data Project Manager Jobs (NOW HIRING)

Data Project Manager Good knowledge of Data projects, development and support, knowledge of ETL, BI and Cloud technologies such as IICS, Tableau, GCP. Knowledge of DevOps, Python, Shell Scripting ...

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 ...

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 ...

Senior Project Data Manager

Philadelphia, PA · On-site

$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 ...

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Data Project Manager information

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$16

$57

$80

How much do data project manager jobs pay per hour?

As of Jun 12, 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.

Who earns more, BA or PM?

In the context of a Data Project Manager, project managers generally earn higher salaries than business analysts due to their greater responsibility, experience, and leadership roles. While business analysts focus on requirements gathering and analysis, project managers oversee entire projects, often leading to higher compensation, especially with certifications like PMP or Agile expertise.

Can I make 100k as a project manager?

Data project managers can earn $100,000 or more annually, especially with experience, certifications, and in high-demand industries. Salaries vary based on location, company size, and project complexity, with senior roles and those managing large teams typically earning higher wages.

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 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.
More about Data Project Manager jobs
What cities are hiring for Data Project Manager jobs? Cities with the most Data Project Manager job openings:
What are the most commonly searched types of Data Project jobs? The most popular types of Data Project jobs are:
Who are the top companies hiring for Data Project Manager jobs? The top employers for Data Project Manager jobs are:
What states have the most Data Project Manager jobs? States with the most job openings for Data Project Manager jobs include:
Infographic showing various Data Project Manager job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, and 5% 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.
Artificial Intelligence Project Manager - Data

Artificial Intelligence Project Manager - Data

GSPANN Technologies

Manhattan, NY • Hybrid

$57 - $77.25/hr

Other

Posted 13 days ago


Job description

About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm

Technical Project Manager
Location-NYC, NY (Hybrid)
Job Type-Long Term Contract

My primary criteria will be communication and ability to get up to speed quickly with numerous stakeholders on data requirements & priorities.

Data Engineering PM - Data Engineering/DW/BI/Cloud platform, implementing / delivering AI based solutions experience is a must.


ESSENTIAL DUTIES & RESPONSIBILITIES:

  • 12- 15 Years IT Experience
  • Responsible for understanding the customer through user testing and web analytics
  • General process and communications with product management and other stakeholders organization
  • Engaging with business, road map discussion and tradeoffs prioritization
  • Ability to work closely and collaboratively with different stakeholder groups
  • Minimum of 4 year solid Data Project Management experience with recent experience with Databricks and capable of using/running agentic AI initiatives.

Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.