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Generative Ai Program Manager Jobs (NOW HIRING)

Insperity

AI Program Manager

Kingwood, TX · On-site

The AI Program Manager partners closely with division stakeholders, ITS, Enterprise Analytics ... Experience with AI and analytics initiatives-including generative AI and agentic workflows, AI ...

Insperity

AI Program Manager

Houston, TX

The AI Program Manager partners closely with division stakeholders, ITS, Enterprise Analytics ... Experience with AI and analytics initiatives-including generative AI and agentic workflows, AI ...

WorkNovas LLC

Technical Program Manager

Fremont, CA · On-site

$141K - $182K/yr

Technical Program Manager Location: Fremont, CA 5 days onsite per week need local Duration: 6-12 ... Backend services 3. AI / Generative AI Understanding Need experience with: * AI products * LLMs

Columbia

AI Program Manager

North Reading, MA · On-site

As AI Program Manager, you'll help shape how AI gets used inside a $500M general contractor that competes successfully against firms much larger than we are. Construction management is a great ...

BuzzClan LLC

AI Technical Program Manager

Irving, TX · Hybrid

$123K - $160K/yr

... Generative AI solutions. * The ideal candidate combines strong technical program management expertise with a solid understanding of AI/ML, GenAI, agentic AI, cloud platforms, APIs, software ...

BuzzClan LLC

AI Technical Program Manager

Irving, TX · Hybrid

$123K - $160K/yr

... Generative AI solutions. * The ideal candidate combines strong technical program management expertise with a solid understanding of AI/ML, GenAI, agentic AI, cloud platforms, APIs, software ...

BuzzClan LLC

AI Technical Program Manager

Irving, TX · On-site

$123K - $160K/yr

... Generative AI solutions. * The ideal candidate combines strong technical program management expertise with a solid understanding of AI/ML, GenAI, agentic AI, cloud platforms, APIs, software ...

1 point system

AI Program Manager

Kansas City, MO · On-site

Requirement - AI Program Manager Location- 4500 Main Street, Kansas City, MO 64111 (onsite 3 days per week) Contract W2 Role Overview: This individual will lead the planning, execution, and delivery ...

STI

AI Program Manager

AI Program Manager Location: Denver, CO/REMOTE Although a fully remote position, ideal candidate would be within the State of Colorado as there is possibility of converting this role to a full time ...

Melior

AI Program Manager (Remote)

Philadelphia, PA · Remote

$90K - $130K/yr

The Role As an AI Program Manager, you'll work directly with our executive team to lead client ... Are genuinely excited about generative AI and have been actively finding ways to use AI to improve ...

Purple Drive

AI Technical Program Manager

Atlanta, GA

$124K - $160K/yr

We are seeking an experienced AI Technical Program Manager to lead the planning, execution, and delivery of AI, Generative AI, and intelligent automation initiatives. The role requires a strong ...

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Generative Ai Program Manager information

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$38.5K

$107.5K

$157K

How much do generative ai program manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for generative ai program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a generative AI program manager do?

A Generative AI Program Manager oversees the planning, development, and implementation of projects that use AI models capable of generating content, such as text, images, or code. They coordinate cross-functional teams, manage project timelines and resources, and ensure that generative AI solutions align with business objectives and compliance standards. This role also involves stakeholder communication, risk management, and monitoring the ethical use of AI. Generative AI Program Managers often work closely with data scientists, engineers, and product managers to deliver innovative AI-driven products and services.

What are the key skills and qualifications needed to thrive as a generative AI program manager?

To thrive as a Generative AI Program Manager, you need expertise in project management, a strong understanding of AI and machine learning concepts, and often a relevant degree in computer science or engineering. Familiarity with cloud platforms, AI development frameworks, and tools like Jira or Asana, as well as certifications such as PMP or Agile Scrum Master, are commonly required. Exceptional communication, strategic thinking, and leadership skills help you coordinate cross-functional teams and manage stakeholder expectations. These abilities ensure successful delivery of AI initiatives, alignment with business goals, and effective risk mitigation in a rapidly evolving field.

How do generative AI program managers typically collaborate with cross-functional teams during project development?

Generative AI Program Managers play a central role in coordinating efforts between data scientists, software engineers, product managers, and stakeholders to ensure project milestones are met. They facilitate communication to align technical requirements with business objectives, manage timelines, and address roadblocks promptly. Regular meetings, progress tracking tools, and clear documentation are commonly used to keep everyone informed and on the same page. This collaborative approach helps ensure that generative AI solutions are both technically robust and aligned with organizational goals.

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

AspectGenerative Ai Program ManagerData Scientist
Required CredentialsBackground in AI, project management, and sometimes certifications in AI or product managementDegree in Computer Science, Statistics, or related field; often with certifications in data analysis or machine learning
Work EnvironmentLeads cross-functional teams, manages AI projects, collaborates with engineers and stakeholdersAnalyzes data, develops models, and interprets results primarily within data-focused teams
Employer & Industry UsageTech companies, AI startups, and organizations deploying generative AI solutionsTech firms, research institutions, and industries utilizing data analytics and machine learning

While both roles involve AI and data skills, the Generative Ai Program Manager focuses on overseeing AI projects and managing teams, whereas the Data Scientist primarily analyzes data and develops models. The Program Manager ensures project delivery, while the Data Scientist provides technical insights.

What cities are hiring for Generative Ai Program Manager jobs?

Cities with the most Generative Ai Program Manager job openings:

What states have the most Generative Ai Program Manager jobs?

States with the most job openings for Generative Ai Program Manager jobs include:

What are popular job titles related to Generative Ai Program Manager jobs?

For Generative Ai Program Manager jobs, the most frequently searched job titles are:

Infographic showing various Generative Ai Program Manager job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 96% Full Time, and 2% Temporary. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.

AI Program Manager

Greenwood Village, CO • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for an AI Program Manager
Details:
AI Program Manager
Location: Denver CO, Onsite
Duration: 12 months
We are seeking an experienced AI Program Manager to lead large-scale AI/ML, Data Science, and Analytics initiatives from inception through production deployment at enterprise (Fortune 100) scale. The ideal candidate combines deep program and project management expertise in Agile environments with strong business acumen, excellent communication skills, and a meticulous, results-oriented mindset.
In this role, you will be accountable for end-to-end delivery of complex AI/ML programs-owning timelines, budgets, risks, and outcomes. You will partner closely with technical leaders, executives, and cross-functional stakeholders to define strategy, prioritize roadmaps, and ensure that AI investments deliver measurable business value.
Key Responsibilities
End-to-end program ownership
  • Lead complex AI/ML, Data Science, and Analytics programs from ideation, scoping, and planning through execution, launch, and post-launch optimization.
  • Own program and project outcomes end-to-end, being accountable for on-time, on-budget delivery that meets or exceeds stakeholder expectations.
  • Develop and manage integrated roadmaps, plans, milestones, and dependencies across multiple teams and workstreams.

Delivery and execution
  • Drive disciplined execution across multiple Agile teams, ensuring clarity of scope, priorities, and success metrics.
  • Proactively identify and manage risks, issues, and interdependencies; remove obstacles to keep teams moving.
  • Implement and maintain robust tracking of schedules, budgets, resources, and KPIs, providing clear visibility to stakeholders.

AI/ML and analytics program leadership
  • Manage large-scale AI/ML and analytics initiatives at Fortune 100 scale, coordinating with data scientists, ML engineers, data engineers, software engineers, and product teams.
  • Ensure that technical efforts align with business objectives, regulatory requirements, and technology strategy.
  • Help teams translate ambiguous business problems into structured AI/ML projects with clear deliverables and outcomes.

Cross-functional and executive collaboration
  • Partner with business leaders, product, technology, operations, and risk/compliance to align on priorities and success criteria.
  • Prepare and deliver concise, executive-ready updates, dashboards, and communications on program status, risks, and value.
  • Secure executive buy-in for new initiatives by clearly articulating business cases, tradeoffs, and impact.

Agile leadership and ways of working
  • Champion Agile methodologies across multiple teams, ensuring alignment on ceremonies, artifacts, and best practices.
  • Foster a culture of continuous improvement, experimentation, and learning while maintaining strong delivery discipline.
  • Help shape and refine processes, governance, and tooling to support efficient, scalable AI/ML delivery.

Required Qualifications
Education & credentials
  • Bachelor's degree in Project Management, Program Management, or Computer Science (strongly preferred).
  • Bachelor's degree in a related field (e.g., Business, Engineering, Information Systems) may be considered with equivalent experience.
  • Relevant project/program management certifications (e.g., PMP, PgMP, PMI-ACP, SAFe, ScrumMaster, PRINCE2, or equivalent).

Experience
  • 8+ years of program and project management experience in Agile environments, owning and being accountable for delivery on time and within budget.
  • 8+ years of experience managing large-scale AI/ML, Data Science, and Analytics programs and projects from inception to delivery at Fortune 100 or similarly large enterprise scale.
  • Proven track record of leading complex, cross-functional technology programs with multiple stakeholders and dependencies.

Skills & competencies
  • Meticulous, "maniacal" eye for detail with a strong, results-oriented mindset.
  • Demonstrated ability to own programs end-to-end, being accountable for the success or failure of products and features.
  • Strong leadership skills with experience partnering with technical leaders to drive vision and execution.
  • Excellent written and verbal communication skills, with the ability to translate highly technical AI/ML details into clear, executive-ready summaries.
  • Proven ability to work cross-functionally and comfortably engage with senior executives to gain buy-in for future efforts.
  • Deep understanding of Agile methodologies and how to scale Agile across multiple teams (culture, methodology, and process).
  • Strong grounding in project and program management practices, including planning, budgeting, risk management, and stakeholder management.
  • Highly strategic and business-focused, able to connect AI/ML initiatives to business outcomes, ROI, and operational impact.
  • Demonstrated creativity and adaptability, comfortable operating in fast-changing, ambiguous environments while maintaining execution focus.

Preferred Qualifications
  • Experience managing AI/ML and analytics initiatives in a Fortune 100 or similarly large, complex, or regulated organization.
  • Background working closely with AI/ML, Data Science, and engineering teams; familiarity with the lifecycle of AI/ML products and platforms.
  • Experience establishing or refining governance, metrics, and operating models for enterprise AI/ML programs.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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