1

Data Science Project Manager Jobs in Texas (NOW HIRING)

... projects - worked closely with product and program management on business and technical roadmap delivery What is the work? Management / Advising / Mentoring: - Manages the Data Science team ...

... projects - worked closely with product and program management on business and technical roadmap delivery What is the work? Management / Advising / Mentoring: - Manages the Data Science team ...

Elevate is seeking a Manager of Data Science to oversee Risk Management for specific portfolios and ... projects with high visibility and demanding timelines • Strong communication skills • ...

Manage multiple, often concurrent projects and meet expectations. * Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects ...

Manage multiple, often concurrent projects and meet expectations. * Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects ...

Manage multiple, often concurrent projects and meet expectations. * Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... and management of applications, infrastructure and connectivity. We are one of the leading ...

We are seeking a Technical Project Manager with experience leading Data Engineering and Data Science initiatives in AWS environments. The role will coordinate delivery between onsite stakeholders and ...

next page

Showing results 1-20

Data Science Project Manager information

See Texas salary details

$15

$53

$74

How much do data science project manager jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science 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.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Texas? For Data Science Project Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Texas look for? The top searched job categories for Data Science Project Manager jobs in Texas are:
What cities in Texas are hiring for Data Science Project Manager jobs? Cities in Texas with the most Data Science Project Manager job openings:
Infographic showing various Data Science Project Manager job openings in Texas as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $111,442 per year, or $53.6 per hour.
Technical Project Manager - Machine Learning & Data Science

Technical Project Manager - Machine Learning & Data Science

Cadmus, LLC

Austin, TX

$105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Overview

What You'll Be Doing

Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver initiatives that support the enterprise's data needs. You will function as a TPM authority and team leader, owning programs that span multiple teams and systems, improving delivery processes, and serving as a key liaison with program stakeholders. We are looking for someone who is results-oriented and comfortable with facilitating engineering teams to predictably meet commitments and successfully deliver high quality products and features. Your success will be achieved through clear communication and collaboration among the team, removing impediments, enabling flexibility and rapid respond to change, and providing leadership grounded in trust, transparency, and kindness.

Who We Are

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com .

Responsibilities

  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.

  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.

  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.

  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.

  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.

  • Influence without authority and drive consensus across diverse stakeholders.

Qualifications

  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.

  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.

  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.

  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.

  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).

  • Experience regularly maintaining and reporting program data, preferably in Jira.

  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.

  • Excellent communication and problem-solving skills.

  • Ability to facilitate teams and individuals working collaboratively and efficiently.

  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.

  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.

  • Preferred certifications: PMP or Scrum Master.

Additional Information:

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $105,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

We value the critical role safety and health protocols contribute to everyone's success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.

Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.

Learn more about Cadmus by visiting our website at: cadmusgroup.com

Job Locations US

Posted Date 1 month ago (5/8/2026 12:02 PM)

Job ID 2026-3160

# of Openings 1

Category Information Technology