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Technology Director, AI Adoption & Enablement

Job in Springdale, Washington County, Arkansas, 72766, USA
Listing for: Tyson Foods
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Change Management, IT Project Manager, AI Business & Operations, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 300000 USD Yearly USD 180000.00 300000.00 YEAR
Job Description & How to Apply Below

Job Details: Tyson Foods is seeking a strategic, delivery-focused Director to lead enterprise AI adoption, enablement, and value measurement across the Company's business units and enablement functions. Reporting to the Chief Technology Officer, this role serves as the primary bridge between technology and business, translating Tyson's AI and digital strategy into adopted, value-generating solutions.

Job Details: Tyson Foods is seeking a strategic, delivery-focused Director to lead enterprise AI adoption, enablement, and value measurement across the Company's business units and enablement functions. Reporting to the Chief Technology Officer, this role serves as the primary bridge between technology and business, translating Tyson's AI and digital strategy into adopted, value-generating solutions. The role will partner with business unit presidents, functional leaders, and enablement teams (F&A, HR, Law, Compliance, Cybersecurity, Data.

Etc.) to identify high-value use cases, drive organizational change and adoption, and establish the frameworks needed to measure and report business impact. This is an end-to-end, delivery-oriented role with significant visibility across the organization. Success is measured not by deployment alone, but by sustained adoption and demonstrated financial and operational value.

Key Responsibilities AI Strategy & Business Alignment
  • Develop and execute Tyson's AI adoption strategy aligned with enterprise business priorities, in partnership with the CTO and business unit leadership.
  • Partner with business leaders to identify, prioritize, and scale high-value AI use cases across business units and functions.
  • Build AI roadmaps directly tied to measurable business outcomes, and act as the connective bridge between technology teams and business stakeholders.
Program & Delivery Management
  • Drive end-to-end delivery of the digital and AI portfolio - managing scope, timeline, budget, dependencies, and risk across cross-functional teams.
  • Apply consistent PMO and Agile delivery practices to move solutions from concept to production.
Business Partnership & Stakeholder Engagement
  • Serve as a trusted advisor to business and enablement functions, translating priorities into a roadmap of digital and AI solutions and co-owning delivery outcomes.
  • Facilitate use-case discovery workshops to surface opportunities and help leaders redesign work processes around AI capabilities.
  • Scale successful pilots into enterprise-wide programs, and communicate progress, risks, and realized value to C-suite executives and key stakeholders.
Adoption & Change Management
  • Drive enterprise-wide AI literacy and adoption programs, including communications, training, and change management efforts.
  • Remove organizational barriers to AI adoption and embed new ways of working so that deployed solutions are used, sustained, and continuously improved.
  • Build and support a network of AI champions and communities of practice across business units.
Value Measurement & Reporting
  • Establish and maintain frameworks for measuring AI ROI, including standard KPIs for productivity, cost savings, revenue growth, quality, and risk reduction.
  • Track use-case performance through deployment and enhancement, ensuring solutions produce measurable outcomes - not just successful deployment.
  • Report value realization to executives and governance committees.
Governance & Responsible AI
  • Partner with Legal, Compliance, Cybersecurity, HR, and Data teams to ensure AI initiatives align with Company policy and responsible AI principles.
  • Support governance forums and investment reviews and manage AI portfolio visibility and prioritization.
Innovation & Continuous Improvement
  • Cultivate a culture of innovation by promoting adoption of new technologies and encouraging creative, end-to-end problem-solving across the organization.
  • Regularly assess the effectiveness of the AI and technology strategy against business goals, industry trends, and performance metrics, adjusting the approach as needed.
Qualifications
  • Bachelor's degree in computer science, Engineering, Business, or a related field; MBA or other advanced degree preferred.
  • 10+ years of experience in technology or…
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