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Manager Ai Project Management Jobs in Missouri (NOW HIRING)

Serve as the expert Project Manager on a limited portfolio of high-touch accounts, managing ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Serve as the expert Project Manager on a limited portfolio of high-touch accounts, managing ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Serve as the expert Project Manager on a limited portfolio of high-touch accounts, managing ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Serve as the expert Project Manager on a limited portfolio of high-touch accounts, managing ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Experience with AI project management tools Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination ...

We are looking to recruit a Project Manager , located in Kansas City . Within this growing team, you will serve as primary liaison to stakeholders throughout a project lifecycle. You will be ...

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Manager Ai Project Management information

What is the difference between Manager Ai Project Management vs Data Scientist?

AspectManager Ai Project ManagementData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Project Management certifications often preferredBachelor's or higher in Data Science, Statistics, or related; often requires advanced degrees
Work EnvironmentLeads AI projects, coordinates teams, manages timelinesAnalyzes data, develops models, interprets results
Industry UsageUsed across tech, finance, healthcare for AI project oversightCommon in research, tech, and analytics roles

The main difference is that Manager Ai Project Management focuses on overseeing AI projects and coordinating teams, while Data Scientists primarily analyze data and develop models. Both roles require technical knowledge, but their responsibilities and daily tasks differ significantly.

How do I become a manager AI project management?

To become a manager in AI project management, candidates typically need a strong background in computer science, data science, or related fields, along with experience managing technology projects. Developing skills in AI concepts, project planning, and team leadership is essential, often supported by certifications such as PMP or Agile. Practical experience with AI tools and frameworks, along with excellent communication skills, also contribute to success in this role.

How much do manager AI project managers make?

Manager AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI tools and project management certifications can command higher salaries.

What does a Manager AI Project Management do?

A Manager AI Project Management oversees the planning, execution, and delivery of artificial intelligence projects, coordinating teams of data scientists, engineers, and stakeholders. They ensure projects meet technical requirements, stay within budget, and adhere to deadlines, often utilizing project management tools and methodologies like Agile or Scrum.

What are the most commonly searched types of Ai Project Management jobs in Missouri?

The most popular types of Ai Project Management jobs in Missouri are:

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

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

What job categories do people searching Manager Ai Project Management jobs in Missouri look for?

The top searched job categories for Manager Ai Project Management jobs in Missouri are:

What cities in Missouri are hiring for Manager Ai Project Management jobs?

Cities in Missouri with the most Manager Ai Project Management job openings:

AI Project Manager

Lewis & Clark Capital

Saint Louis, MO

Full-time

Re-posted 12 days ago


Job description

Lewis & Clark Capital is a family office investing in and partnering with lower middle market businesses across a range of industries. We are seeking a highly motivated Value Creation professional to work directly with portfolio company leadership teams to drive operational improvements, process automation, and the practical adoption of software, data, and AI-enabled workflows.

This role sits at the intersection of strategy, operations, and technology, with a mandate to identify and execute initiatives that create measurable value across our portfolio.

Key Responsibilities

  • Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology
  • Translate business problems into practical, implementable solutions using modern tools and technologies
  • Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics
  • Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise
  • Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies
  • Serve as a thought partner to management teams on operational strategy and technology adoption
  • Manage multiple projects across companies, balancing strategy development with hands-on execution
  • Track and communicate the impact of initiatives to internal stakeholders
  • Document and share learnings across portfolio companies to build repeatable playbooks

Qualifications

  • 3–7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations
  • Hands-on experience with modern data tools, automation platforms, and AI/LLM workflows with a track record of building and deploying solutions, not just evaluating them
  • Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and configure solutions independently, including API integrations, automation workflows, and no-code / low-code platforms. This is not a software engineering role and deep coding expertise is not required.
  • Experience in private equity-backed or multi-company environments strongly preferred

Core Competencies

  • Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges
  • Strong listening skills and the ability to diagnose problems and synthesize inputs quickly
  • Execution-oriented mindset with comfort moving from idea to implementation
  • Systems thinking and the ability to understand how processes, data flows, and tools connect across a business
  • Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype
  • Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms
  • Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously
  • Executive presence and confidence working with senior leadership teams
  • Adaptability and comfort working in ambiguous, fast-moving environments

What Success Looks Like

  • Identifying and executing on high-impact, practical opportunities across portfolio companies
  • Driving measurable improvements in efficiency, cost, and growth
  • Building and deploying solutions that are adopted and sustained over time
  • Helping portfolio companies adopt modern tools without over-engineering solutions
  • Developing a repeatable playbook for how L&CC approaches AI and technology implementation across the portfolio
  • Becoming a trusted partner to management teams and internal stakeholders

Why This Role

This is a unique opportunity early in your career, working across multiple businesses, building real solutions, and shaping how AI and automation are applied in practical, value-accretive ways.