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Ai Program Manager Jobs in Arkansas (NOW HIRING)

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Ai Program Manager information

See Arkansas salary details

$31.8K

$88.9K

$129.8K

How much do ai program manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ai program manager in Arkansas is $88,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $109,600.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of AI tools into project workflows, coordinate teams, and manage timelines. While AI can automate routine tasks and support decision-making, human oversight remains essential for strategic planning, stakeholder communication, and complex problem-solving. The role is evolving to include managing AI systems rather than being fully replaced by them.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves balancing technical understanding with strategic oversight to deliver effective AI initiatives.

Which 3 jobs will survive AI?

For an AI Program Manager, roles that require complex strategic decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as executive leadership, specialized healthcare professionals, and creative roles like designers or writers. These jobs involve nuanced human judgment and interpersonal skills that AI currently cannot replicate fully. Continuous learning and adaptability are essential to stay relevant as AI advances.

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.

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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Program Manager or senior AI executive, that offers a total compensation package including salary, bonuses, and stock options. These roles often require extensive experience, advanced skills in machine learning, leadership, and strategic planning, and are usually found in large tech companies or innovative startups. Such compensation reflects the high demand and specialized expertise in the AI industry.
Infographic showing various Ai Program Manager job openings in Arkansas as of July 2026, with employment types broken down into 67% Full Time, 23% Part Time, and 10% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $88,860 per year, or $42.7 per hour.

AI Program Manager

Atomic Weapons Establishment

Bentonville, AR • On-site

Full-time

Posted 18 days ago


Job description

Art and Wellness Enterprises (AWE) is a professional services organization supporting non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges Foundation, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute.
Job Description:
Job Title: AI Program Manager
Reports to: Senior Director of Financial Planning and Strategic Projects
FLSA Classification: Exempt
Location: Bentonville, Arkansas (On-site)
Date Reviewed: 07/07/2026
Art and Wellness Enterprises (AWE) supports operating non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute.
About The Position
The AI Program Manager is a strategic thought leader that designs and operationalizes an enterprise AI ecosystem across Art and Wellness Enterprises (AWE) and the diverse, complex portfolio of supported organizations spanning healthcare, arts, education, and philanthropy. This role moves beyond isolated AI tools and instead establishes a governed, scalable, and version-controlled AI architecture that enables repeatable, auditable, and value-driven outcomes, with a focus on automation and responsible AI usage.
This role defines and implements the foundational architecture, governance model, and versioning strategy required to support AI-enabled workflows and automation across the organization. This includes designing system-level prompts, decision frameworks, and behavioral rules that ensure consistency, traceability, and compliance across all AI agents and solutions. This role owns the development of the architecture and strategy, as well as the hands-on execution of AI-enabled workflows and automation.
The AI Program Manager partners closely with executive leadership, technology teams, and business units to ensure AI is deployed as an integrated ecosystem-grounded in governance, structured architecture, and measurable business value-not as bespoke, one-off solutions. This role is also responsible for accelerating adoption of AI-enabled ways of working by partnering cross functionally to understand opportunities, strategies, and building repeatable AI driven solutions.
Success in this role requires strategic thinking, strong relationship-building and communication skills, and the ability to influence stakeholders across technical and operational teams. The ability to balance enterprise AI strategy, governance, and architecture with practical execution, organizational change, and responsible AI adoption is essential, along with the ability to navigate ambiguity, build consensus, and deliver measurable organizational value in a fast-paced, evolving environment.
Essential Duties and Responsibilities
AI Strategy and Architecture
  • Define and implement a scalable AI architecture and framework capable of supporting multiple agents, workflows, and business use cases across the AWE ecosystem.
  • Establish design principles for role-based agents, scoped tool usage, and modular AI components.
  • Develop and maintain reusable patterns for AI-enabled workflows (e.g., financial review, operational analysis, stakeholder reporting).
  • Design system prompts, reasoning frameworks, and rule sets that define how AI agents interpret data and generate outputs.
  • Standardize prompt structures to ensure consistency across use cases and teams.
  • Establish meta-rules governing agent behavior (e.g., prioritization logic, discrepancy handling, data validation standards).
  • Continuously refine prompts and rule sets as part of a controlled, versioned improvement process.

AI Governance and Controls
  • Design and implement a formal AI governance framework aligned with organizational risk management and compliance requirements.
  • Establish policies for responsible AI use, data integrity, model behavior, and decision transparency.
  • Define control mechanisms to ensure AI outputs can be reviewed, validated, explained, and audited.
  • Partner with leadership to position AI governance as a core capability, similar to financial and operational controls.
  • Develop and enforce versioning standards across all layers of the AI ecosystem, including prompts, business logic, data schemas, and outputs.
  • Maintain a structured version control system enabling rollback, comparison, and audit of AI-driven outputs.
  • Ensure that every AI-generated outcome can be traced back to its underlying logic, assumptions, and versioned configuration.
  • Create documentation standards that capture decision logic and evolution over time.

AI Transformation and Adoption
  • Design and implement a structured change management approach to support adoption of AI-driven workflows and operating model changes.
  • Guide business units in transitioning from manual processes to AI-supported decision-making frameworks.
  • Develop adoption roadmaps, readiness assessments, stakeholder engagement strategies, communications, and value realization frameworks tailored to AI-enabled transformation.
  • Partner with leaders and team members to identify, anticipate, and address barriers to AI adoption, including trust, capability gaps, process and operating model changes, and responsible AI considerations.
  • Develop and implement practical change interventions that accelerate AI adoption and sustain organizational change beyond initial deployment.
  • Support the development and implementation of training, communications, and stakeholder engagement strategies that accelerate adoption and sustain long-term organizational change.

Strategic Partnership
  • Partner with technology teams to ensure architecture and governance are embedded into all technical implementations.
  • Collaborate with business leaders to identify, prioritize, and develop high-value AI use cases suitable for scalable AI deployment, building and maintaining an enterprise roadmap and prioritization for future development.
  • Ensure all AI solutions align with enterprise architecture standards rather than isolated experimentation.
  • Serve as the integration layer between technical development and operational execution, ensuring AI solutions are practical, scalable, and aligned with organizational objectives.
  • Advise executive leadership and stakeholders on AI strategy, governance, organizational readiness, and opportunities to improve operational effectiveness through AI-enabled solutions.

Thought Leadership
  • Represent the organization's AI transformation capabilities internally and externally through presentations, industry forums, and thought leadership opportunities.
  • Stay current on emerging AI technologies, enterprise adoption patterns, governance practices, workforce implications, and change management practices relevant to enterprise transformation.
  • Help shape the organization's narrative around responsible, practical, and value-oriented AI adoption.
  • Perform other duties and responsibilities as assigned to support evolving organizational needs.

Qualifications and Requirements
  • Bachelor's degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field required; Master's degree preferred.
  • 7-9+ years of progressively responsible experience in enterprise transformation, technology strategy, governance, or architecture roles, including meaningful experience in client-facing roles.
  • Demonstrated experience designing scalable systems, frameworks, and operating models.
  • Experience defining governance frameworks, controls, and policy structures.
  • Experience working in regulated, compliance-driven, or audit-sensitive environments is strongly preferred.
  • Proven success working alongside technical, product, data, or engineering teams to position and operationalize technology-enabled transformation programs.
  • Strong understanding of AI/automation use cases and enterprise deployment challenges.
  • Demonstrated decision-making skills and expertise in change management and adoption in complex organizations.
  • Excellent executive communication, facilitation, and stakeholder management skills, with the ability to translate complex concepts into clear, actionable organizational insights and business value.
  • Proven ability to operate effectively in ambiguous, fast-moving environments and to connect strategy, solutioning, and organizational execution.
  • Demonstrated analytical and problem-solving skills with the ability to identify challenges, evaluate options, and implement practical solutions.
  • High level of professional integrity and the ability to handle sensitive issues and situations with discretion.
  • Ability to work both independently and collaboratively within a multidisciplinary team.
  • Demonstrated ability to remain focused and steady in fast-paced environments with competing demands, including periods of transition, uncertainty, or operational strain.
  • Ability to thrive in a fast-paced, ever-changing environment, remaining adaptable and resilient.

Physical Demands and Work Environment
The physical demands and work environment characteristics described here are representative of those required by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
Physical Demands: In the work environment described, position requires utilizing a computer and a telephone for prolonged periods of time and good eye/hand coordination, bending and stretching, and physical stamina to lift and transport a minimum of 10 pounds. Visual acuity to review written materials is required for this job.
Work Environment: Work is performed on-site (Monday-Friday, 8 a.m.-5 p.m.) in a professional, climate-controlled office environment with standard office equipment, including computers, printers, and telephones. This role requires working in an open setting near colleagues. The noise level is typically low to moderate. The role also requires regular interaction with internal team members in a professional and courteous manner. Some travel may be required, and a flexible schedule may be necessary to accommodate business needs, including occasional evening and weekend work hours.
Art and Wellness Enterprises, LLC is an equal opportunity employer committed to building and maintaining a workplace that is free of discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
All offers of employment are contingent on your successful completion (where permitted by state law) of a confidentiality agreement and a background check. In addition, you will need to provide proper identification verifying your eligibility to work in the United States.