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Data Project Management Jobs (NOW HIRING)

AIG

AVP II, Data Platforms

Jersey City, NJ · On-site

... manage their data technologies platforms, primarily Snowflake. This role involves leading a team of data engineers, implementing data projects, and ensuring high-quality work while instilling best ...

INC Research

Senior Project Data Manager

Philadelphia, PA · On-site

$52.25 - $70.75/hr

Ensures the contracted Data Management for clinical studies are carried out by the Company in accordance with the executed contract and the customer's expectations. The scope may include projects ...

INC Research

Senior Project Data Manager

Philadelphia, PA

$52.25 - $70.75/hr

Ensures the contracted Data Management for clinical studies are carried out by the Company in accordance with the executed contract and the customer's expectations. The scope may include projects ...

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Data Project Management information

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How much do data project management jobs pay per hour?

As of Jul 14, 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.

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.
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Data Project Management jobs near you
Infographic showing various Data Project Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Project Manager, Data & Innovation

Project Manager, Data & Innovation

Dickinson Wright PLLC

Las Vegas, NV • On-site

$47.01 - $55.56/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Summary: Staff designated at Dickinson Wright PLLC ("the Firm") as Project Manager, Data & Innovation will play a critical role in advancing the firm's strategic goals by ensuring effective project management practices across the organization.
Project Manager, Data & Innovation will lead and deliver strategic projects that harness data and emerging technologies to improve firm operations. This role will be instrumental in driving innovation initiatives, managing cross-functional teams, and ensuring the successful implementation of data-driven solutions across the firm.
Essential Duties and Responsibilities:
Essential duties and responsibilities of staff designated as Project Manager, Data & Innovation at the Firm include but are not limited to:
  1. Project Leadership & Execution
    • Define project scope, goals, deliverables, and success metrics in collaboration with stakeholders.
    • Develop detailed project plans, timelines, resource allocations, and budgets.
    • Develop and maintain tools and dashboards to provide real-time visibility into project status, milestones, and KPIs for key stakeholders and leadership.
    • Lead cross-functional project teams, ensuring clear roles, responsibilities, and accountability.
    • Monitor project progress and proactively manage risks, issues, and changes in scope.
    • Ensure timely and effective communication with stakeholders at all levels, including regular status updates and executive reporting.
  2. Innovation & Technology Enablement
    • Lead end-to-end project management for innovation and data-focused initiatives, from ideation through execution and post-implementation review.
    • Collaborate with stakeholders across departments (IT, Legal Operations, Finance, Human Resources, Marketing, etc.) to identify opportunities for innovation and operational improvement.
    • Facilitate the implementation of emerging legal technologies (e.g., AI, automation, etc.) that align with the firm's strategic goals.
    • Coordinate pilot programs and proof-of-concept initiatives to evaluate innovative tools and methodologies.
  3. Data Strategy & Analytics Projects
    • Oversee projects focused on data governance, analytics, and business intelligence.
    • Collaborate with data analysts and technical teams to deliver dashboards, reporting tools, and data infrastructure improvements.
    • Ensure data projects align with compliance, privacy, and security standards.
  4. Change Management & Adoption
    • Develop and execute change management plans to support user adoption of new tools and processes.
    • Provide training, documentation, and support to end users and stakeholders.
    • Measure and report on adoption rates and project impact.

Qualifications, Skills and Abilities Required:
Project Manager, Data & Innovation must have:
  1. Bachelor's degree in Business Administration, Project Management, or a related field and/or a minimum of 7 years of experience in project management, with a focus on legal or professional services environment.
  2. Self-motivated individual able to independently manage multiple requests, assess priorities and achieve solutions in accordance with deadlines.
  3. Advanced organizational skills, including the ability to manage a high volume of work with accuracy and attention to detail.
  4. Exceptional communication and interpersonal skills at all levels within an organization and the ability to build and maintain effective relationships with attorneys, clients and staff.
  5. Ability to think strategically, prioritize effectively, and make decisions in a fast-paced environment.
  6. Strong understanding of project management methodologies (e.g., Agile, Predictive) and tools (e.g., Smartsheet, MS Project, Asana, JIRA).
  7. Willingness to pursue relevant certifications such as PMP, Lean, Six Sigma, or CMPAI (Certified Manager of Process Automation and Innovation), if not already held.

Working Conditions:
Normal law office environment with little exposure to noise, dust, temperature.
This is a remote position. Applicants should reside within driving distance of a Dickinson Wright location.
Travel requirement: less than 5% travel to Dickinson Wright offices
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. Please note that a variety of factors determine compensation, including geographic location, experience, relevant degrees and certifications, and other applicable factors authorized by law.
Dickinson Wright offers a generous benefits package for eligible fulltime employees within our U.S. offices, including health, dental, and vision; 401(k) and profit sharing plans; paid vacation; and parental leave. Additional elective programs include: a health flexible spending account, a health savings account, identity theft protection, a dependent day care reimbursement account, commuter benefits, life and AD&D insurance, short- and long-term disability protection, an employee assistance program, and emergency travel assistance.
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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