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Diamondback Energy

Onshore Permian Basin oil and gas producer

AI Adoption and Enablement Lead

Learning & DevelopmentConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Learning and Development, Organizational Development, Instructional Design, Communications, Business, or a related field.
  • At least 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 artificial intelligence, enterprise data tools, and responsible artificial intelligence principles.

Responsibilities

  • Lead the enterprise artificial intelligence adoption and workforce enablement strategy, roadmap, standards, and success measures.
  • Assess workforce roles, workflows, artificial intelligence readiness, and capability gaps to develop targeted strategies that increase effective artificial intelligence adoption.
  • Develop artificial intelligence 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 artificial intelligence effectively and responsibly in their work.
  • Partner with artificial intelligence Product Owners and business stakeholders to develop adoption strategies for artificial intelligence 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 artificial intelligence champions, power users, and practitioners that accelerates peer learning, experimentation, and reuse across the enterprise.
  • Maintain the enterprise artificial intelligence knowledge hub and support an internal practitioner community that promotes peer learning and knowledge sharing.
  • Measure artificial intelligence fluency, learning effectiveness, and adoption readiness, and use results to improve programs and priorities.
  • Monitor the artificial intelligence deployment roadmap and adjust enablement priorities to keep workforce capabilities ahead of implementation.

Desired Qualifications

  • Experience building artificial intelligence, 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.
  • A relevant certification in instructional design, adult learning, change management, or talent development.

About the Company

Diamondback Energy

Onshore Permian Basin oil and gas producer

Diamondback Energy is an independent onshore oil and natural gas producer focused in the Permian Basin in West Texas, with emphasis on the Wolfcamp and Spraberry formations. It generates revenue by acquiring, developing, and exploiting unconventional reserves to produce crude oil, natural gas, and natural gas liquids. It differentiates itself through a low-cost structure and a growth-by-acquisition strategy, having bought assets from Brigham Resources, Ajax Resources, Energen, QEP Resources, Endeavor Energy Resources, and Double Eagle IV. The goal is to grow oil and gas production and reserves in a cost-efficient way to create long-term value for shareholders while integrating ESG metrics into compensation and governance.

Company size
501-1,000
Company stage
IPO
Headquarters
Midland, TX
Founded
2007

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