New

AI Lead - Adoption and Enablement

Diamondback E&P LLC
United States, Texas, Dallas
Aug 25, 2026
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. The AI Adoption and Enablement Lead builds the workforce capabilities needed to adopt and responsibly use Artificial Intelligence (AI) across Diamondback Energy. This role develops the strategy, capabilities, programs, and communities needed to embed AI into everyday work, accelerate adoption of enterprise AI products and tools, and build sustainable AI fluency across the workforce. Partnering with AI Product Owners, business leaders technology teams, and others, the role identifies barriers to adoption, develops role-based enablement, measures usage and behavioral change, and helps ensure AI investments translate into sustained business outcomes. 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 Required Qualifications: 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 Preferred Qualifications: 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 Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.