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Data Project Manager Jobs in Texas (NOW HIRING)

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

Data Program Manager

Austin, TX · On-site

$51.25 - $69.50/hr

Project Manager; Senior Manager, Data Governance; Director, Business Transformation Office; Business Relationship Manager; Manager of Finance Reporting; Power BI Developer; ESSENTIAL DUTIES • ...

The ideal candidate will have extensive experience leading data, analytics, and cloud-based ... Lead and manage end-to-end project lifecycle including planning, execution, monitoring, and ...

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Data Project Manager information

See Texas salary details

$15

$53

$74

How much do data project manager jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data project manager in Texas is $53.58, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $62.69 per hour, depending on experience, location, and employer.

Can I make 100k as a project manager?

Data Project Managers can earn $100,000 or more annually, especially with experience, certifications like PMP, and in high-demand industries or regions. Salary varies based on location, company size, and project complexity, with senior roles and specialized skills increasing earning potential.

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 are the 4 types of project managers?

In project management, four common types of project managers are functional, projectized, matrix, and hybrid. Functional managers work within specific departments, while projectized managers lead projects independently. Matrix managers balance both functional and project responsibilities, and hybrid combines elements of these approaches to suit organizational needs.

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.
What are popular job titles related to Data Project Manager jobs in Texas? For Data Project Manager jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Project Manager jobs? Cities in Texas with the most Data Project Manager job openings:

Project Manager, Data Operations (Fully Remote)

Scalepex

Plano, TX • On-site, Remote

$49.50 - $67/hr

Full-time

Posted 3 days ago


Job description

Project Manager, Data Operations (Fully Remote)
About the Role
We're hiring a Project Manager, Data Operations to lead healthcare data integrations and EDI implementations across inbound and outbound data feeds. This fully remote role partners closely with internal teams, clients, payors, TPAs, and vendors to deliver reliable, high-quality eligibility, claims, and benefits data.
This is a hands-on, technical project management role for someone who understands healthcare EDI, thrives in cross-functional environments, and can translate complex requirements into clear execution plans-while working effectively in a remote setting.
What You'll Do
  • Lead end-to-end delivery of healthcare data and EDI implementations (834, 837, 835, 270/271, and related files).
  • Coordinate setup, testing, and monitoring of inbound and outbound data feeds with internal teams and external partners.
  • Gather and document requirements, develop file specifications, and manage testing cycles.
  • Partner with Account Management, Implementation, Data Operations, Engineering, and external stakeholders to align priorities and deliverables.
  • Manage client benefit changes and data updates with minimal disruption.
  • Identify risks, drive issue resolution, and ensure high data quality, accuracy, and reliability.
  • Provide regular status updates, milestone tracking, and KPI reporting.
  • Drive continuous improvement across data operations processes and workflows.
  • Manage documentation and delivery using tools such as JIRA and Confluence.

What You Bring
  • 5-9 years of experience in healthcare data, EDI, project management, or implementation roles.
  • Hands-on experience with ANSI 5010 EDI transactions (834, 837, 835, 270/271).
  • Strong understanding of eligibility, claims, COB, and benefits data.
  • Experience working with payors, TPAs, healthcare providers, or health tech platforms.
  • Excellent stakeholder management, communication, and problem-solving skills.
  • Strong attention to detail and ability to manage multiple priorities in a remote environment.
  • Proficiency with Microsoft Office; experience with SQL, Tableau, Power BI, or similar tools is required

Requirements
What You Bring
  • 5-9 years of experience in healthcare data, EDI, project management, or implementation roles.
  • Hands-on experience with ANSI 5010 EDI transactions (834, 837, 835, 270/271).
  • Strong understanding of eligibility, claims, COB, and benefits data.
  • Experience working with payors, TPAs, healthcare providers, or health tech platforms.
  • Excellent stakeholder management, communication, and problem-solving skills.
  • Strong attention to detail and ability to manage multiple priorities in a remote environment.
  • Proficiency with Microsoft Office; experience with SQL, Tableau, Power BI, or similar tools is required