AI Program Manager

Art and Wellness Enterprises•Bentonville, AR

11h•Onsite

About The Position

The AI Program Manager is responsible for leading the responsible and effective use of artificial intelligence across the AWE ecosystem. This role bridges emerging AI capabilities with practical, day-to-day business applications, enabling team members to use AI tools thoughtfully and effectively to improve workflows, decision-making, and organizational impact. Serving as a hands-on program owner, the AI Program Manager designs, implements, and continuously improves AI enablement initiatives that support adoption across teams and entities. This role documents and socializes AI practices, partners with business units to identify high-value opportunities, builds agents based on those identified opportunities, and supports the implementation of AI solutions that deliver measurable value while aligning with organizational priorities and risk standards. Operating within a mission-driven, multi-entity environment spanning healthcare, education, nonprofit, and arts organizations, the AI Program Manager works closely with cross-functional partners to ensure AI tools are deployed responsibly, securely, and accessibly. This role plays a key part in shaping how work evolves at AWE, helping team members thrive in an AI-enabled workplace.

Requirements

Bachelor’s degree in business, information systems, organizational development, technology management, or a related field; Master’s degree preferred.
8–10+ years of experience in digital transformation, technology enablement, or enterprise program management, with hands-on responsibility for leading and delivering organization-wide initiatives within complex organizational environments.
5+ years of progressive project and program leadership experience leading change initiatives, adoption programs, or emerging technology programs across multi-entity or matrixed organizations.
Demonstrated hands-on experience using and supporting AI tools, automation platforms, or digital adoption programs in an organizational setting.
Applied experience working with programming languages such as Python or JavaScript in support of AI-enabled tools, workflows, or automation initiatives, including familiarity with AI orchestration or framework tools (e.g., LangChain, AutoGen, LlamaIndex).
Working knowledge of artificial intelligence and machine learning concepts, including large language models (LLMs), prompt design, data processing considerations, and core machine learning principles.
Familiarity with system integration concepts, including building APIs, backend systems, and managing databases (SQL/NoSQL), as they relate to implementing and supporting AI-enabled solutions.
Proven experience owning and scaling enterprise programs that drive adoption of emerging technologies across diverse stakeholder groups.
Demonstrated expertise in change management and adoption strategy, preferably within complex, multi-entity or matrixed organizations.
Demonstrated ability to translate complex, rapidly evolving technologies (including AI and automation) into practical, user-centered, and measurable business solutions.
Experience developing enterprise frameworks, playbooks, standards, and governance models to support sustainable technology adoption.
Strong analytical and strategic thinking skills, with the ability to evaluate risk, value, and impact and to make sound recommendations.
Proven ability to manage multiple initiatives, prioritize effectively, and drive programs to completion, while maintaining attention to detail and execution quality.
Strong analytical and problem-solving skills, with a focus on measurable outcomes and continuous improvement.
Highly proficient in Microsoft Office suite and virtual meeting platforms.
Excellent interpersonal and communication skills (written, verbal, and presentation), with the ability to collaborate across business functions and organization levels and convey complex concepts to non-technical audiences.
Experience working effectively with individuals from diverse backgrounds and perspectives and engaging cross-functional stakeholders to support complex initiatives.
Ability to work both independently and collaboratively within a multidisciplinary team.
High level of professional integrity and the ability to handle sensitive issues and situations with discretion.
Ability to thrive in a fast-paced, innovative environment where change is constant.

Nice To Haves

Prior experience in complex environments, such as healthcare, higher education, museum/cultural institutions, nonprofits, or multi-entity ecosystems is strongly preferred.
Master’s degree preferred.

Responsibilities

Design and deliver engaging training, workshops, and digital learning resources to raise AI literacy for employees at all levels.
Develop and maintain accessible documentation, playbooks, and guides for approved AI tools, workflows, and best practices.
Foster a culture of experimentation, responsible use, and continuous learning related to AI across the organization.
Launch and manage internal programs to enable AI champions and advocates across teams and entities.
Lead change management activities to support effective AI adoption, working closely with cross-functional partners and department leaders.
Partner with business units to assess and map current workflows, identify inefficiencies, and prioritize high-impact opportunities for AI-enabled improvement.
Translate business needs into clear use cases, value and ROI assessments, and implementation roadmaps.
Gather stakeholder feedback, adoption insights, and success stories to continuously refine enablement and adoption strategies.
Guide teams through AI pilot projects, including scoping, implementation, evaluation, and scaling.
Builds, deploys, and manages autonomous AI systems that use large language models (LLMs) to perform complex, multi-step tasks without constant human intervention.
Provide hands-on support, troubleshooting, adoption support, and change management for AI initiatives.
Support ethical, compliant, and secure use of AI in collaboration with Information Technology Security, Legal, and other governance partners.
Support the implementation of appropriate guardrails, monitoring practices, and access controls for AI tools and solutions.
Promote equitable and inclusive AI practices, identifying and mitigating potential risks related to bias, privacy, and misuse.
Document outcomes, lessons learned, and best practices to inform future initiatives and continuous improvement.
Track usage metrics, user feedback, and business impact of deployed AI solutions.
Use insights and data to iterate on and optimize AI adoption strategies and program effectiveness over time.
Other duties as assigned.