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Program Manager Artificial Intelligence Jobs in Missouri

Support the UK Approved Body and other International Regulatory programs. * Identify the ... Knowledge of business processes and the application of quality management standards * A team player ...

Support the UK Approved Body and other International Regulatory programs. * Identify the ... Knowledge of business processes and the application of quality management standards * A team player ...

Direct all technical, operational, financial, and administrative aspects of program execution across security operations, incident response, threat intelligence, vulnerability management, and ...

Program Manager Location: St. Louis, MO (Hybrid - 2 Days Onsite) Duration: 6+ Months W2 Contract We ... High emotional intelligence with the ability to navigate ambiguity and influence diverse ...

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Program Manager Artificial Intelligence information

What is a program manager artificial intelligence?

Program Managers in Artificial Intelligence (AI) are professionals who oversee and coordinate AI projects and initiatives within an organization. They work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that AI programs are delivered on time, within budget, and meet strategic goals. Their responsibilities typically include project planning, resource allocation, risk management, and communicating progress to leadership. Program Managers in AI also help bridge the gap between technical teams and business objectives, ensuring that AI solutions align with organizational priorities.

How does a program manager artificial intelligence typically collaborate with data scientists and engineers on complex projects?

A Program Manager in AI acts as a crucial bridge between stakeholders, data scientists, and engineers to ensure projects align with business goals and technical feasibility. They coordinate regular meetings, facilitate clear communication of requirements, and help resolve blockers that arise during development. By translating business objectives into actionable tasks, they enable cross-functional teams to stay aligned and deliver results efficiently. Additionally, they often oversee timelines, resource allocation, and risk management to keep AI initiatives on track.

What are the key skills and qualifications needed to thrive as a program manager artificial intelligence, and why are they important?

To thrive as a Program Manager in Artificial Intelligence, you need a strong understanding of AI concepts, project management methodologies, and experience overseeing technical teams, often supported by a degree in computer science or engineering and certifications like PMP. Familiarity with AI development tools, cloud platforms (such as AWS, Azure, or Google Cloud), and agile project management systems is typically required. Exceptional communication, stakeholder management, and problem-solving skills help you align cross-functional teams and drive projects to successful completion. These skills and qualities are crucial for delivering complex AI initiatives on time, within budget, and in alignment with organizational objectives.

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

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

What job categories do people searching Program Manager Artificial Intelligence jobs in Missouri look for?

The top searched job categories for Program Manager Artificial Intelligence jobs in Missouri are:

What cities in Missouri are hiring for Program Manager Artificial Intelligence jobs?

Cities in Missouri with the most Program Manager Artificial Intelligence job openings:

Principal Artificial Intelligence Solutions Consultant

Jobtailor

California, MO โ€ข On-site

$160 - $230/hr

Other

Posted 5 days ago


Job description

  • Support the enterprise adoption and scaling of AI, advanced analytics, and agent-based solutions across the firm
  • Partner with Technology, Finance, Product, Risk, and Lines of Business
  • Design and operate end-to-end economic models for AI solutions, including people costs, AI platform costs, model usage, and cloud infrastructure consumption
  • Develop the Artificial Intelligence framework companywide or for an assigned line of business
  • Discuss the current state and transitioning strategy to accelerate utilization and enhance customer or individual experience
  • Lead the strategy over a highly complex, companywide-impact portfolio of Artificial Intelligence
  • Research and develop Artificial Intelligence designs and concepts
  • Provide vision, leadership, risk assessment, policy development, and implementation for Artificial Intelligence programs
  • Maintain knowledge of best practices and emerging Artificial Intelligence trends
  • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Requirements
  • 10+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
  • 5+ years of experience in a combination of cloud economics, FinOps, technology consulting, financial management, or large-scale IT financial planning
  • Strong understanding of cloud consumption models, including public cloud, hybrid, and usage-based pricing
  • Experience with AI, advanced analytics, or data platform workloads
  • Ability to translate complex technical and financial data into executive-ready insights
  • Experience partnering across Technology, Finance, and Business teams in a large, regulated enterprise
  • Experience with GenAI, LLM platforms, or AI agent architectures, including awareness of token-based or usage-based pricing models
  • Familiarity with FinOps principles and practices
  • Background in financial services, banking, or other highly regulated industries
  • Experience building unit cost models, ROI analyses, or business cases for technology investments
  • Comfort working in matrixed environments with multiple stakeholders and competing priorities
  • FinOps Foundation certification is a plus
Core Competencies

Demonstrates extensive expertise in Artificial Intelligence Solutions and cloud economics, with a strong ability to lead strategy and implementation of AI programs across regulated enterprises. Proficient in translating complex technical and financial data into actionable insights while collaborating with cross-functional teams.

Highest-signal resume keywords
  • Artificial Intelligence Solutions Experience
  • Cloud Economics Expertise
  • FinOps Principles Familiarity
  • GenAI and LLM Platforms Knowledge
  • Financial Services Background
ATS Optimization Keywords Hard Skills
  • AI Framework Development
  • Economic Model Design
  • Cloud Consumption Models
  • Unit Cost Models
  • ROI Analysis
Soft Skills
  • Leadership
  • Collaboration
  • Problem-Solving
  • Communication
Certifications & Qualifications
  • FinOps Foundation Certification
Industry Keywords
  • Financial Services
  • Banking
  • Regulated Industries
Tools & Technologies
  • AI Platforms
  • Data Platforms
  • Cloud Infrastructure
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