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Ai Program Manager Jobs in Texas (NOW HIRING)

AI Program Manager Location: Houston, TX (Hybrid: 2-3 days/week) Employment Type: 6-12 Months Contract Job Summary The AI Program Manager will oversee end-to-end delivery of AI and machine learning ...

Sr. AI Program Analyst

San Antonio, TX · Hybrid

$104K - $105K/yr

The Senior AI Program Analyst supports the scaling of the enterprise Responsible AI program by ... Bachelor's degree or equivalent experience in governance, risk management, public policy ...

The role requires strong program management expertise, executive communication skills, and a solid understanding of AI concepts and enterprise change management. Key Responsibilities Program ...

Senior IT Manager, AI Programs

Austin, TX · On-site

$129K - $130K/yr

We're looking for an experienced manager to lead AI program strategy and execution within the Information Technology organization. In this role, you'll own the IT AI roadmap, drive adoption across ...

Creating and managing long-term goals. Developing a budget and operating plan for the program ... AI Prompting and Data Synthesis * Develop and refine effective AI prompts and query strategies to ...

New

Develop and refine effective AI prompts and query strategies to retrieve and synthesize program ... project manager and/or data liaison role. 8 Required Experience collaborating with end-users ...

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Showing results 1-20

Ai Program Manager information

See Texas salary details

$35.9K

$100.1K

$146.3K

How much do ai program manager jobs pay per year?

As of Jun 13, 2026, the average yearly pay for ai program manager in Texas is $100,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $123,400.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of artificial intelligence into projects, coordinating teams and managing timelines. While AI can automate routine tasks and assist in data analysis, human oversight, strategic decision-making, and stakeholder communication remain essential, making complete replacement unlikely in the near term.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines and budgets, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves aligning AI initiatives with strategic goals and ensuring successful deployment and integration.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI program managers with extensive experience and responsibilities. These positions often require advanced skills in AI development, leadership, and strategic planning, and may include bonuses or stock options that contribute to total compensation.
What are popular job titles related to Ai Program Manager jobs in Texas? For Ai Program Manager jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ai Program Manager jobs? Cities in Texas with the most Ai Program Manager job openings:
Infographic showing various Ai Program Manager job openings in Texas as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $100,116 per year, or $48.1 per hour.
AI Program Manager

AI Program Manager

Prodware Solutions

Houston, TX • Hybrid

Other

Posted 5 days ago


Job description

AI Program Manager Location: Houston, TX (Hybrid: 2-3 days/week)
Employment Type: 6-12 Months Contract
Job Summary
The AI Program Manager will oversee end-to-end delivery of AI and machine learning initiatives, coordinating cross-functional teams to ensure projects meet timelines, budgets, and quality standards. This hybrid role demands strong leadership in agile environments, stakeholder management, and expertise in AI technologies.
Key Responsibilities
  • Lead planning, execution, and delivery of AI/ML programs, from ideation to deployment, using methodologies like Agile, Scrum, or SAFe.
  • Collaborate with engineering, data science, product, and business teams to define roadmaps, mitigate risks, and resolve dependencies.
  • Manage program budgets, timelines, and resources; track KPIs such as ROI, model accuracy, and deployment velocity.
  • Facilitate stakeholder communication, including executive reporting, demos, and change management for AI solutions.
  • Identify opportunities for AI process improvements and mentor junior PMs on best practices.
Qualifications
  • Bachelor's/Master's in Computer Science, Engineering, AI/ML, or related field; PMP, CSM, or AI certifications (e.g., Google Professional Machine Learning Engineer) preferred.
  • 5+ years in program/project management, with 3+ years focused on AI/ML, cloud platforms (AWS, Azure, Google Cloud Platform), or data engineering.
  • Proven track record managing complex tech programs; experience with tools like Jira, Confluence, MS Project, or Tableau.
  • Strong knowledge of AI technologies (e.g., LLMs, computer vision, NLP) and frameworks (TensorFlow, PyTorch, or similar).
  • Excellent communication skills; ability to bridge technical and business audiences.