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Ai Manager Jobs in Kansas (NOW HIRING)

CrowdStrike

The Product Management team is seeking an experienced Principal Product Manager to lead our flagship Charlotte AI Platform. You will partner closely with Engineering, Design, and other PM leaders to ...

Dairiconcepts, L.P.

AI Office Lead

Kansas City, KS · On-site

Own the AI operating model - continually refine processes, roles, and standards for the AI ... Develop and manage operational budgets * Work with IT shared service leadership to identify ...

Guida's Dairy

AI Office Lead

Kansas City, KS · On-site

Own the AI operating model - continually refine processes, roles, and standards for the AI ... Develop and manage operational budgets * Work with IT shared service leadership to identify ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and ...

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Ai Manager information

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI and machine learning projects. Developing skills in programming languages like Python, understanding AI tools and frameworks, and obtaining relevant certifications can enhance qualifications. Leadership and project management skills are also important for overseeing AI teams and initiatives.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis can earn higher compensation, often supplemented with bonuses and stock options.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, ensure project goals align with business objectives, and often require knowledge of machine learning tools and programming languages. Their role involves strategic planning, resource management, and ensuring ethical AI practices.

What are the most commonly searched types of Ai jobs in Kansas?

The most popular types of Ai jobs in Kansas are:

What job categories do people searching Ai Manager jobs in Kansas look for?

The top searched job categories for Ai Manager jobs in Kansas are:

What cities in Kansas are hiring for Ai Manager jobs?

Cities in Kansas with the most Ai Manager job openings:

Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution.

Sr. Director, AI (AI Business Lead)

DAIRY FARMERS OF AMERICA

Kansas City, KS • On-site

Full-time

Posted 5 days ago

Dairy Farmers Of America rating

7.2

Company rating: 7.2 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

27th of 65 rated farming

Job description

Lead DFA's enterprise AI capability, owning the portfolio strategy and roadmap for AI initiatives and ensuring alignment with business goals, responsible AI practices, and measurable value. Identify and prioritize high-impact AI use cases across business units and guide products from ideation through adoption. Deploy practical, governed AI capabilities that accelerate insights, planning, and decisions. Partner with the Enterprise AI Architect, who provides technical direction, and the AI Business Relationship Manager, who coordinates execution within DFA's IT function. Build and develop the talent and enablement model needed to scale AI across the Cooperative.

Duties and Responsibilities:

  • Define and evolve the enterprise AI portfolio strategy and roadmap, aligned to business priorities and measurable value
  • Identify, prioritize and manage a healthy pipeline of high-impact AI use cases across business units, from ideation through adoption and retirement
  • Own AI product prioritization, balancing innovation with model retraining, technical debt, and compliance
  • Embed responsible AI principles into product decisions and the full AI lifecycle
  • Partner with the Enterprise AI Architect on technical direction, reusable AI assets, and standards without owning architecture
  • Partner with the AI Business Relationship Manager on directing execution, translating priorities into plans, milestones, and delivery cadences while retaining outcome ownership
  • Act as a primary liaison among business leaders, technical teams, and governance bodies; translate needs into requirements and success metrics
  • Define and monitor KPIs tied to business outcomes; lead continuous improvement based on performance data and user feedback
  • Partner with legal, risk, compliance, and enterprise AI governance to meet regulatory standards and support responsible AI reviews and risk assessments
  • Partner with IT on driving AI enablement and adoption-building literacy, training, and a culture of responsible AI use; lead, coach, and develop professional DFA team members as a means of building AI champions across the Cooperative
  • The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required
  • Undergraduate degree in business, data science, computer science, or related curriculum (or equivalent combination of education and experience); advanced degree preferred
  • 5+ years of progressive experience in business, data, or technology-driven roles, with people management experience that includes leading teams through direct and indirect management
  • Proven experience managing cross-functional teams and enterprise-scale AI or technology initiatives
  • Food, agriculture, consumer products, or manufacturing experience preferred
  • Certification and/or License - may be required during course of employment
  • Advanced understanding of the AI/ML lifecycle, responsible AI, and enterprise AI product management
  • Proficient knowledge of data and AI platforms (Snowflake, Databricks, Copilot, Azure) and cloud architectures, with fluency to evaluate tradeoffs without being the architect
  • Skill in prioritizing AI use cases by value, risk, and readiness
  • Able to translate business needs into product requirements, success metrics, and measurable outcomes
  • Familiarity with agile methodologies, backlog management, and roadmap planning
  • Knowledge of AI regulatory and risk frameworks (e.g., NIST, ISO) and compliance
  • Able to influence and negotiate with business leaders and external partners
  • Outstanding communicator in both internal and external settings
  • Must be able to read, write and speak English
  • Able to travel 15-25% of the time

An Equal Opportunity Employer including Disabled/Veterans

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