Sr. Director, AI & Data Science (Transformation)

across the business. This role partners closely with business leaders 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 Sr. Director also champions 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.

Key Accountabilities

• Partners with business leaders to identify and 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, presenting to and influencing non-technical audiences and senior stakeholders 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 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

• Minimum of eight years of related work experience

• Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning

• Confirmed ability to present to non-technical audiences

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.