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AI Transformation Lead

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Perdue Farms

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Location:
United States , Salisbury

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

190000.00 - 248000.00 USD / Year
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Job Description:

The AI Transformation Lead is a visionary leader responsible for enabling differentiated, high-impact applications of artificial intelligence across the business. This role partners closely with business leadership to identify innovative opportunities where AI can be a strategic differentiator, fueling competitive advantage and driving measurable outcomes. Beyond leading the development and deployment of AI solutions, this role plays a critical part in shaping how AI can transform decision-making, operations, and customer experiences. The leader will also champion responsible AI practices, ensuring governance, risk mitigation, and ethical use of AI are embedded in every initiative. With a focus on business value, quality, and foresight, this role drives cross-functional collaboration to turn AI potential into sustainable impact.

Job Responsibility:

  • Partners with business leadership to accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized
  • Translates complex AI capabilities into compelling business narratives to drive informed strategic decisions and foster confidence in AI-driven innovation
  • Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies
  • Leads efforts to establish and improve artificial intelligence and data science design & development practices
  • Champion a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption
  • Develops and sponsors a community of practice of data scientists to drive reuse, awareness and alignment to further adoption and value through analytics solutions
  • Partner with Business Leadership to delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets
  • Builds strategic partnerships and alliances with key business and industry entities to achieve organizational objectives and improve the value of investments
  • Manages team members to achieve organization goals, provides technical coaching & guidance, drives accountability for high performance and develops and sustains an environment for data scientists to thrive in an inclusive culture
  • Other duties as assigned

Requirements:

  • Bachelor’s degree in data science, computer science, math, engineering or related field or equivalent experience
  • 5+ years of experience leading teams
  • 10+ years of related work experience
  • Ability to present to non-technical audiences

Nice to have:

  • Master's degree or PhD in data science, computer science, math, engineering or related field
  • Experience driving analytics adoption and mobilizing business transformation through AI adoption
  • Broad expertise of business processes and functions
  • Proficient in communicating to senior executives on opportunity and value, relating to the audience at hand
  • Experience working with continuous integration and delivery (CI/CD) pipelines
  • Experience working with distributed computing frameworks
  • Experience working with AZURE
  • Experience in software development environment and code management or versioning
  • Experience in agriculture
What we offer:
  • medical/Rx
  • 401(k) with employer match after 1-year
  • critical illness
  • accident insurance
  • dental
  • vision
  • life insurance
  • optional group life insurance
  • short-term and long-term disability protection
  • flexible spending accounts
  • paid time off
  • annual bonus available (variable depending on performance)

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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