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Generative Ai Project Manager Jobs in Missouri (NOW HIRING)

Jobgether

$79K - $104K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps ... Create reusable frameworks that capture and scale successful creative patterns across projects.

LRS

Project Manager

Saint Louis, MO · On-site

$48 - $57/hr

LRS Consulting Services is seeking a Project Manager for a contract opportunity. This role offers ... In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our ...

Deloitte

Oracle Gen AI Manager

Kansas City, MO · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

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Generative Ai Project Manager information

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
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What cities in Missouri are hiring for Generative Ai Project Manager jobs? Cities in Missouri with the most Generative Ai Project Manager job openings:
Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Missouri as of July 2026, with employment types broken down into 69% Full Time, 22% Part Time, and 9% Contract. Highlights an 58% Physical, 4% Hybrid, and 38% Remote job distribution.

AI Project Manager

Lewis & Clark Capital

Saint Louis, MO • On-site

Full-time

Re-posted 24 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.