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Data Project Management Jobs in Missouri (NOW HIRING)

Data Lead - Project Aurora

Saint Louis, MO ยท On-site

$50.25 - $68/hr

The Data Lead for Project Aurora is accountable for overseeing the entire data cleansing and ... Additionally, the Lead will manage a data team, delegate assignments, and facilitate daily stand-up ...

Data Lead - Project Aurora

Saint Louis, MO ยท On-site

$50.25 - $68/hr

The Data Lead for Project Aurora is accountable for overseeing the entire data cleansing and ... Additionally, the Lead will manage a data team, delegate assignments, and facilitate daily stand-up ...

Drive total operational integrity of client data and project architecture within agency platforms, enforcing rigorous standards for client onboarding, file management, and PII data privacy compliance.

Drive total operational integrity of client data and project architecture within agency platforms, enforcing rigorous standards for client onboarding, file management, and PII data privacy compliance.

Drive total operational integrity of client data and project architecture within agency platforms, enforcing rigorous standards for client onboarding, file management, and PII data privacy compliance.

Drive total operational integrity of client data and project architecture within agency platforms, enforcing rigorous standards for client onboarding, file management, and PII data privacy compliance.

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

Partner with the leadership and the Data & Technology team to monitor account profitability ... Own the Project Management contribution to Coegi's billing process and support the 2026 transition ...

Partner with the leadership and the Data & Technology team to monitor account profitability ... Own the Project Management contribution to Coegi's billing process and support the 2026 transition ...

Partner with the leadership and the Data & Technology team to monitor account profitability ... Own the Project Management contribution to Coegi's billing process and support the 2026 transition ...

Partner with the leadership and the Data & Technology team to monitor account profitability ... Own the Project Management contribution to Coegi's billing process and support the 2026 transition ...

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Data Project Management information

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.
What are popular job titles related to Data Project Management jobs in Missouri? For Data Project Management jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Data Project Management job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Project Manager (Data Transformation)

Stellar IT Group

Saint Louis, MO โ€ข On-site

$50.25 - $68/hr

Full-time

Re-posted 15 days ago


Job description

Overview:
Job Title: Project Manager (Data Transformation)
Job Type: FTE/Contract
Job Mode: Remote
Position Overview
We are seeking a highly motivated Project Manager with a strong background in data transformation initiatives to lead complex projects across enterprise environments. The ideal candidate will have proven expertise in managing large-scale data migration, integration, and transformation programs, with the ability to bridge technical execution and business strategy. Previous consulting experience is highly desirable, as this role requires strong stakeholder management, solution-oriented thinking, and the ability to deliver results in dynamic, client-facing settings.
Key Responsibilities
  • Lead end-to-end project management for data transformation initiatives, including planning, execution, and delivery.
  • Collaborate with data engineering, analytics, and business teams to define project scope, objectives, and success metrics.
  • Oversee data migration, integration, and transformation activities, ensuring accuracy, scalability, and compliance with enterprise standards.
  • Identify risks, dependencies, and bottlenecks, and proactively implement mitigation strategies.
  • Drive stakeholder alignment by facilitating workshops, design sessions, and executive updates.
  • Manage project budgets, timelines, and resources to ensure successful delivery.
  • Provide strategic input and thought leadership on data modernization, governance, and transformation best practices.
  • Document processes, lessons learned, and contribute to continuous improvement frameworks.

Required Skills & Experience
  • 8-12 years of experience in project management, with a focus on data transformation or data migration projects.
  • Strong understanding of ETL processes , data integration frameworks, and enterprise data platforms.
  • Demonstrated ability to manage cross-functional teams and complex technical projects.
  • Excellent communication, stakeholder management, and presentation skills.
  • Proficiency with project management methodologies (Agile, Waterfall, or hybrid approaches).
  • Solid problem-solving and analytical skills with a results-driven mindset.

Preferred Qualifications
  • Previous consulting experience in data transformation, digital modernization, or enterprise IT programs.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures.
  • Experience working in regulated industries with data governance and compliance requirements.
  • PMP, PRINCE2, or Agile certifications (preferred but not mandatory).

Skills:
Project Management Skills,Data Transformation