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Data Project Management Jobs (NOW HIRING)

Data Engineer/Data ProjectLead (REMOTE)

Chantilly, VA ยท Remote

$117K - $140K/yr

The Data Engineer/Data Project Lead HQ may provide strategic direction, mentor junior project ... Manage project portfolios, define project strategies, ensure project quality, and manage project ...

... management-across all life cycle stages. Strong knowledge of Data projects, development and support, knowledge of ETL, BI and Cloud technologies such as IICS, Tableau, GCP, DevOps. Understand the ...

The Enterprise Technology & Data PMO operates as a highly collaborative partner across engineering and business teams, balancing disciplined execution with pragmatic delivery. Successful team members ...

Senior Technical Project Manager

Rosemead, CA ยท On-site

$112K - $154K/yr

Data Analytics, BI and Cloud DW project management Cloud DW Project implementation experience Snowflake DW, Talend 7.3 Cloud, Oracle Azure Cloud Big Data Project Management

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 ...

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 ...

Project Manager - Data Centers

Houston, TX

$49.50 - $66.75/hr

With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform ... Lead all aspects of our data center development project within an existing shell building * Review ...

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Data Project Management information

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How much do data project management jobs pay per hour?

As of Jun 23, 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 is the highest paying project management job?

Senior executive roles such as Program Manager, Portfolio Manager, or Director of Project Management typically have the highest salaries in project management, often exceeding $150,000 annually. These positions require extensive experience, advanced certifications like PMP or PgMP, and strong leadership skills, especially in industries like technology, finance, and engineering.

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.

Who earns more, a data analyst or a project manager?

Generally, project managers tend to earn higher salaries than data analysts due to their leadership responsibilities and broader scope of work. However, salaries can vary based on experience, industry, certifications, and location, with project management roles often requiring skills in planning, communication, and tools like MS Project or Agile methodologies.

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. Professionals with advanced skills in data analysis, database management, and certifications like CDMP or CBIP may earn higher salaries.

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.
More about Data Project Management jobs
What cities are hiring for Data Project Management jobs? Cities with the most Data Project Management job openings:
What states have the most Data Project Management jobs? States with the most job openings for Data Project Management jobs include:
Infographic showing various Data Project Management job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% 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.

Data Engineer/Data ProjectLead (REMOTE)

kgs

Chantilly, VA โ€ข Remote

$117K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Koniag Professional Services LLC, a Koniag Government Services company, is seeking a Data Engineer/Data ProjectLeadto support KPS and our government customer. The position is remote. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.ย  ย 

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

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Koniag Professional Services, LLC is seeking an experienced Data Engineer/Data ProjectLeadHQ to provide strategic leadership and technicalexpertisein managing complex data infrastructure, systems integration, and data project execution supporting federal discretionary grants administration. This senior-level positionis responsible foroverseeing and leading large and complex projects within an organization, managing project portfolios, defining project strategies, leading project teams, ensuring project quality, and managing project risks. The Data Engineer/Data Project Lead HQ may provide strategic direction, mentor junior project managers, and collaborate with executive stakeholders to achieve project goals. This role requiresa high levelof autonomy, leadership, and decision-making in driving project success.ย 

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The Data Engineer/Data Project Lead HQ will lead strategic data initiatives and provide hands-on technical leadership for complex federal grants administration systems.

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Principal responsibilities will include but are not limited to:

  • Lead all data projects using Agile methodologies while supervising Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists, providing technical leadership, mentorship, performance evaluations, and resource allocation aligned with team strengthsย 
  • Manage project portfolios, define project strategies, ensure project quality, and manage project risks and dependencies; collaborate with executive stakeholders to achieve project goalsย 
  • Design, develop, andmaintaindata infrastructure including pipelines, ETL processes, APIs, data warehousing solutions, and cloud-based architectures (AWS, Azure) using Python, SQL, serverless technologies, and automated testing frameworksย 
  • Develop workflow-tracking solutions that integrate data from multiple federal systems (HSES, AMS,GrantSolutions, TTA Hub), including automated notifications, and implement data governance to ensure compliance with federal security standards andvalidatedata qualityย 
  • Create solutions to generate standardized documentation, such as templates and funding guidance letters, by efficiently producing and populating documents and integrating data from other systemsย 
  • Communicate technical concepts to diverse audiences, translate business requirements into technical solutions,facilitateAgile ceremonies, manage project risks and dependencies, and providetimelystatus reportingย 
  • Create comprehensive documentation, including technical specifications, data dictionaries, system architecture diagrams, user guides, and runbooks, to support knowledge transfer and system sustainabilityย 
  • Identifyautomation opportunities, recommend system improvements, evaluate emerging technologies, apply AI appropriately within federal policies, and foster a culture of continuous improvementย 
  • Maintain version control with GitHub, use Docker for containerization, implement CI/CD pipelines, and ensure 99.9% system uptime and high availabilityย 
  • Travel within and outside the Region to conduct site visits, attend meetings, conferences, and trainingย 

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Education and Experience

Required:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, or related field from an accredited college or university
  • At least 10 years of relevant and progressive post-baccalaureate professional experiencedirectly relatedto database design, ETL processes, data warehousing, and developing, implementing, and managing/improving complex, high-profile, multi-faceted data projectsย 
  • Minimum 3 years of progressive supervisory experience leading technical teamsย 
  • Demonstrated proficiency/experience in successfully developing, implementing, and managing/improving complex, high-profile, multi-faceted data projectsย 
  • Proventrack recorddelivering complex data projects on time and within budgetย 
  • U.S. citizenship or legal authorization to work in the United Statesย 

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Required Skills and Competencies:

  • Demonstrated ability to coach team members effectivelyย 
  • Demonstratedproficiencyto communicate clearly, both orally and in writingย 
  • Demonstratedproficiencyin database design, ETL processes, and data warehousingย 
  • SQL and programming languageproficiency, with expert knowledge particularly in Pythonย 
  • API development and integrationexpertiseย 
  • Experience integrating data from various federal systems using efficient processes, including building data pipelines, using APIs, and leveraging federal data layersย 
  • Creating workflow and task-tracking solutions supporting federal priorities including monitoring applications, complaints, inquiries, incidents, corrective actions, program requests, enrollment reports, activities related to the Full Enrollment Initiative, hires, waivers, monitoring, staff rosters, and correspondenceย 
  • Data governance and security knowledge, with the ability to ensure compliance with federal security standardsย 
  • Proven ability to address team member and client concerns and resolve problems effectivelyย 
  • Proficient with Microsoft Office Suite and web-based collaboration toolsย 
  • Ability to work both independently and collaboratively in a team environmentย 
  • Ability tomaintainconfidentiality and handle sensitive information appropriatelyย 
  • Ability to pass required background investigations for access to federal facilities and systemsย 
  • Willingness to complete mandatory training requirementsย 
  • Availability to travel within and outside the Region as neededย 

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Security Requirement:

  • Ability to obtain a Public Trust

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Desired Skills and Competencies:

  • Master's degree in Computer Science, Information Systems, Data Science, Data Engineering, or related field
  • At least 1 year of experience in early childhood education and/or Head Start programs (highly preferred)
  • Federal information systems experience preferredย 
  • Application of AI in data pipelines preferredย 
  • Experience with early childhood education and/or Head Start programsย 
  • Cloud platformexpertise: AWS, Azureย 
  • Proficiencywith Docker, Confluenceย 
  • Database systems: PostgreSQL, SQL Server, Oracleย 
  • Project Management certifications in Agile/Scrum methodologiesย 
  • Version control systems: GitHub experienceย 
  • CI/CD pipeline implementation experienceย 
  • Experience with containerization and serverless technologiesย 
  • Automated testing frameworks knowledgeย 
  • Knowledge of emerging technologies and their application in federal contextsย 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail atย accommodations@koniag-gs.comย or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visitย www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled.ย Shareholder Preference in accordance with Public Law 88-352