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Ai Program Manager Jobs in Missouri (NOW HIRING)

As a Distinguished Technical Program Manager, you'll define and lead the operational strategy for ... The team manages platforms, operational intelligence, AI capabilities, and engineering standards to ...

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Program Management - you partner with capture, growth, and engineering leads to shepherd emerging ...

Technical Program Manager

California, MO · On-site

$125K - $180K/yr

Lead the technical plan to scale spatial AI from to rollouts of hundreds of stores per partner ... Experience: 3-5 years managing technical programs, software-hardware deployments, or complex ...

Technical Program Manager, Fintech

California, MO · On-site

$115K - $149K/yr

As a Technical Program Manager for Fintech, you will drive end-to-end program execution and ... Use of AI Technology: We use technology, including automated and AI-assisted tools, to support ...

Our team delivers seamless, reliable, and AI-enabled technology solutions that enhance Walmart associates' work experience. We lead strategy, portfolio management, and program delivery across ...

Showing results 21-40

Ai Program Manager information

See Missouri salary details

$36.1K

$100.8K

$147.3K

How much do ai program manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for ai program manager in Missouri is $100,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $124,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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. Strong project management skills and knowledge of AI tools are important for this role.

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

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

What cities in Missouri are hiring for Ai Program Manager jobs?

Cities in Missouri with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $100,798 per year, or $48.5 per hour.

Technical Program Manager with Insurance domain

Saint Louis, MO • On-site

Empower Professionals
51 - 200 employees

$122K - $158K/yr

Other

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


Job description

Technical Program Manager Job Location- St. Louis, MO (Onsite)
Contract- 12+ MONTHS Role Overview
  • We are seeking an experienced Technical Program Manager to lead and drive enterprise-scale modernization initiatives leveraging AI/ML, Generative AI, Data, and Cloud technologies.
  • This role will serve as the primary bridge between customer stakeholders, business leadership, and cross-functional delivery teams, ensuring successful execution of strategic transformation programs.
  • The ideal candidate will possess strong program delivery expertise, technical acumen in AI and cloud modernization, stakeholder management capabilities, and experience leading globally distributed teams.
  • The individual will be responsible for program governance, delivery execution, risk management, financial oversight, and ensuring adherence to security, compliance, and Responsible AI standards.
Key Responsibilities
  • Program Leadership & Delivery Lead end-to-end execution of AI/ML, Generative AI, and modernization initiatives across multiple workstreams. Establish program governance structures, delivery plans, milestones, and success metrics.
  • Drive execution against scope, schedule, budget, quality, and business outcomes.
  • Monitor program health and proactively manage risks, issues, dependencies, and escalations.
  • Stakeholder Management Partner with customer executives, business stakeholders, and technology leaders to align program objectives with business goals.
  • Act as the primary point of contact for project status, governance reviews, and strategic discussions.
  • Facilitate steering committee meetings and executive status reviews.
  • Build trusted relationships across client and internal leadership teams.
  • Cross-Functional Team Coordination Collaborate closely with Client and UST Architects, AI/ML Engineers, Data Engineers, DevOps Engineers, QE Teams, Product Owners, and Business Stakeholders. Drive alignment across multiple delivery teams and ensure timely completion of project deliverables.
  • Coordinate inter-team dependencies and remove roadblocks impacting delivery. Governance, Compliance & Responsible AI Ensure AI solutions comply with enterprise governance, security, privacy, Responsible AI, and regulatory requirements.
  • Collaborate with architecture, security, legal, and compliance teams throughout the solution lifecycle.
  • Monitor adherence to organizational standards and delivery best practices.
  • Agile Program Management Facilitate Agile ceremonies including sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.
  • Track sprint progress, delivery commitments, and release milestones.
  • Promote Agile practices and continuous improvement across teams.
  • Reporting & Financial Management Develop and maintain program dashboards, RAID logs, status reports, and executive summaries.
  • Manage budgets, forecasts, resource plans, and vendor engagements.
  • Provide weekly and monthly delivery updates to customer and leadership stakeholders.
  • Preferred Skills Understanding of Generative AI, LLMs, Agentic AI, RAG architectures, and AI platform implementations.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with modernization programs involving legacy application transformation and cloud migration.
  • Knowledge of DevOps, MLOps, Data Engineering, and Enterprise Architecture practices. Strong communication, negotiation, presentation, and leadership skills.