Hybrid AI Director - Data Science & Enterprise Solutions

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

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.