AI Lead - Adoption and Enablement
Indexed description
Job Responsibilities
Include but are not limited to
- Lead Diamondback's enterprise AI adoption and workforce enablement strategy, roadmap, standards, and success measures
- Assess workforce roles, workflows, AI readiness, and capability gaps to develop targeted strategies to increase effective AI adoption
- Develop AI capability pathways for executives, business functions, technical disciplines, managers, and individual contributors
- Design practical learning experiences, guidance, playbooks, job aids, use-case examples, and hands-on programs that enable employees to apply AI effectively and responsibly in their work
- Partner with AI Product Owners and business stakeholders to develop adoption strategies for AI products, including stakeholder readiness, workflow integration, communications, training, launch support, and reinforcement
- Identify barriers to adoption and value realization, including workflow, skill, trust, usability, process, incentive, and organizational barriers, and recommend interventions
- Develop and support a network of AI champions, power users, and practitioners that accelerates peer learning, experimentation, and reuse across the enterprise
- Maintain the enterprise AI knowledge hub and support an internal practitioner community that promotes peer learning and knowledge sharing
- Measure AI fluency, learning effectiveness, and adoption readiness, and use results to improve programs and priorities
- Monitor the AI deployment roadmap and adjust enablement priorities to keep workforce capabilities ahead of implementation
- Bachelor's degree in Learning and Development, Organizational Development, Instructional Design, Communications, Business, or a related field
- 8+ years of experience in technology adoption, organizational capability, digital transformation, change management, learning and development, product adoption, or workforce enablement
- Experience developing enterprise technology adoption strategies and role-based literacy programs for diverse workforce audiences
- Experience supporting technology implementations, digital transformation, or enterprise change initiatives
- Experience designing interventions that address organizational, behavioral, workflow, skill, and trust barriers to technology adoption
- Strong stakeholder management, facilitation, communication, and program measurement skills
- Experience with generative AI, enterprise data tools, and responsible AI principles
- Experience building AI, data, or digital adoption and literacy programs in a complex enterprise environment
- Ability to translate technical concepts into practical guidance for technical and non-technical audiences
- Experience in oil and gas, energy, or another industrial sector
- Relevant certification in instructional design, adult learning, change management, or talent development
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