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Cargill

Sr. Director, AI & Data Science (Hybrid, Atlanta - Midtown)

Reposted 10 Days Ago
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Atlanta, GA
Senior level
Atlanta, GA
Senior level
The Sr. Director of AI & Data Science leads the development and implementation of AI solutions that drive strategic decision-making. The role involves building relationships with leaders, guiding product delivery, improving AI practices, and ensuring measurable outcomes while managing risks and team performance.
The summary above was generated by AI

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
The Sr. Director of AI & Data Science owns the development and implementation of artificial intelligence (AI) solutions that drive strategic decision-making across the organization. This role guides development of artificial intelligence products to drive business value and champions a culture of compliance to responsible artificial intelligence governance framework. This role provides direction to ensure quality of outcomes and measurable business impact and is accountable for handling and mitigating risks using strategic foresight and cross-functional collaboration to address uncertainties.
Key Accountabilities

  • Builds positive relationships with senior leaders to understand their needs and ensure that artificial intelligence initiatives are aligned to business objectives, orienting AI as an enabler to achieving business and customer goals.
  • Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
  • Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions 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 global data scientists to drive reuse, awareness and alignment to further Cargill's adoption and value through analytics solutions
  • Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
  • Accountable for 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


Qualifications
MINIMUM QUALIFICATIONS

  • Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience,
  • Confirmed ability to present to non-technical audiences
  • Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
  • Minimum of eight years of related work experience
  • Other minimum qualifications may apply


PREFERRED QUALIFICATIONS

  • Master's degree or PhD in data science, computer science, math, engineering or related field
  • Five years of experience leading teams
  • 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 AWS
  • Experience in software development environment and code management or versioning
  • Experience in agriculture


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Equal Opportunity Employer, including Disability/Vet.

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