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Data Project Manager Jobs in Princeton, NJ (NOW HIRING)

This individual will partner closely with business stakeholders, data engineering, and BI ... Strong organizational and project management skills; ability to manage multiple initiatives ...

... data migration, and technical integration workstreams. The project manager coordinates these ... technical and functional workstreams toward a successful go-live. Familiarity with the front-to ...

HDR is looking for a Project Manager whose experience focuses on client development and delivery of datacenter projects. The ideal candidate should have a proven background in successfully delivering ...

HDR is looking for a Project Manager whose experience focuses on client development and delivery of datacenter projects. The ideal candidate should have a proven background in successfully delivering ...

Project and Program Management Omnicom Health Market Access is a specialized market access network ... Combining strategy, creative, analytics, and technology, the organization delivers integrated, data ...

Project and Program Management Omnicom Health Market Access is a specialized market access network ... Combining strategy, creative, analytics, and technology, the organization delivers integrated, data ...

Showing results 21-40

Data Project Manager information

See Princeton, NJ salary details

$17

$60

$84

How much do data project manager jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data project manager in Princeton, NJ is $60.28, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $70.58 per hour, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Data Project Manager jobs in Princeton, NJ?

For Data Project Manager jobs in Princeton, NJ, the most frequently searched job titles are:

What cities near Princeton, NJ are hiring for Data Project Manager jobs?

Cities near Princeton, NJ with the most Data Project Manager job openings:

Infographic showing various Data Project Manager job openings in Princeton, NJ as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $125,390 per year, or $60.3 per hour.

Full-time

Re-posted 24 days ago


Job description

Job Description

I am Zach from Pioneer Data System, Inc. We have an immediate requirement for a Project Manager-III in Bridgewater, NJ

If you are interested please call me at (732) 947-3455 or respond to this email.

Position Details:

Job Title: Project Manager-III

Duration: 12+months

Location: Bridgewater, NJ

Job Description:

The Program Management Lead will be responsible for the development and maintenance of an integrated project plan across all phases, waves, and go-lives for the ECM Program. Act as the single point of contact for the day-to-day PMO activities including overall program status, resource load, and financial health of the project. Responsible for planning, executing, and closing multiple projects (business deployments or initiatives) of the program. Also be responsible for identifying and tracking dependencies / interdependencies across the program. Perform overall program risk assessments, develop contingency plans, and recommend mitigations, as needed. Provide input to overall program strategic planning, business planning, and business risk analysis. Anticipate potential risks / program obstacles through an understanding of key business processes, the SDLC lifecycle, and the analysis of key program data. Defines key program metrics for each phase of the project and manages ongoing analysis and reporting. Provide input to the prioritization of program activities and objectives based on knowledge of project plan, resources, and budget. Provides overall oversight of tactical project management task
Ability to coordinate and facilitate communication among diverse group of stakeholders. Extensive project management experience including delivery on global, multi-cultural teams in the onsite-offshore model while managing and interfacing with technology vendors. Strong program delivery experience. Ability to drive resolution for critical issues by bringing teams together - both CLIENT internal and external stakeholders. Application management of GXP and SOX solutions and ongoing operational and hardware/software lifecycle responsibilities. Demonstrates an in-depth knowledge of the entire technical infrastructure and global landscape. Ability to adopt and deploy CLIENT Credo leadership skills.
A minimum of Bachelor's degree required; A minimum of 5-7 years of experience in the medical devices, consumer and/or medical device industries. Cross-functional and/or cross-sector experience required. Experience with complex global transformations. Familiar with Quality and Compliance Standards. Strong written and verbal communication skills. Significant and successful program management experience. Expertise in the CLIENT project management methodology and standards. Skilled in project planning tools (e.g. Microsoft Project). Understanding of key data analysis tools (e.g. Excel, Tableau, etc.). Knowledge of financial budgeting tools and concepts. Understanding of key processes and cross-functional interactions across the product lifecycle. Knowledge of Business Process design methodologies and tools. Knowledge of the Software Development Lifecycle

Additional Information

Need only on W2 no C2C