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Director of Data Science

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: ADUSA Corporate Support
Full Time position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 160000 - 240000 USD Yearly USD 160000.00 240000.00 YEAR
Job Description & How to Apply Below

Category/Area of Expertise: Data-Science & Analytics

Job Requisition: 559585

Address: USA-IL-Chicago-300 South Riverside Plaza

Store Code: Data Science (5157584)

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Primary

Purpose:

The Director of Data Science is responsible for leading the delivery, deployment, and adoption of data science and AI solutions for use cases across the enterprise. This role focuses on translating enterprise AI strategy into scalable solutions, ensuring successful implementation and integration into business processes. The Director I collaborate with stakeholders across technology and business functions to drive AI adoption and value realization.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Chicago, IL and Quincy, MA.

Applicants must be currently authorized to work in the United States on a full-time basis.

Duties & Responsibilities:
  • Lead AI solution delivery and execution
  • Manage development of ML, GenAI, and predictive models
  • Support scaling of AI solutions and use cases across business functions
  • Implement AI frameworks, tools, and best practices
  • Oversee model deployment, monitoring, and performance management
  • Drive AI integration into business workflows and systems
  • Collaborate with enterprise data, engineering, and platform teams
  • Ensure adherence to governance, security, and compliance standards
  • Lead assessment and adoption of external AI technology advancements
  • Drive adoption, change management, and value realization
  • Lead and develop AI delivery teams
Qualifications:
  • Bachelor's degree in AI, Data Science, or related field
  • 12+ years of experience in AI/ML or analytics
  • 3+ years of leadership experience
  • Experience building and deploying AI solutions in enterprise contexts
  • Strong understanding of model lifecycle and performance management
Preferred Qualifications:
  • Master's degree in a related field
  • Experience with enterprise AI tools and cloud ecosystems
  • Exposure to AI governance frameworks

#DICEJobs #LI-hybrid #LI-SS1

Salary Range: $160,000 - $240,000

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.

Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.

Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.

We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

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