Director of Data Science

Adusa; Chicago (IL); Hybrid; USD 160,000 - 240,000; Full time

Job summary

Ahold Delhaize USA is seeking a Director of Data Science to lead the delivery, deployment, and adoption of AI solutions across the enterprise. The role translates AI strategy into scalable implementations and collaborates with technology and business teams to maximize value.

The position supports a hybrid schedule with in-person days in Chicago, IL and remote work, requiring strong leadership, governance, and experience building enterprise AI platforms and managing model lifecycles.

Qualifications

• Bachelor's degree in AI, Data Science, or related field required.
• 12+ years of experience in AI/ML or analytics.
• 3+ years of leadership experience.
• Experience building and deploying AI solutions in enterprise contexts.

Responsibilities

• Lead AI solution delivery and execution across the enterprise.
• 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.

Skills

AI/ML

Data analytics

Leadership

Education

Bachelor's degree in AI, Data Science, or related field

Master's degree in a related field

Job description

Introduction

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

Overview

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 collaborates 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.

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.

Requirements

• 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.

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.