> Markdown version of [/jobs/ext/4318283-director-of-data-science](https://www.wearedevelopers.com/jobs/ext/4318283-director-of-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Data Science - **Company:** Ahold Delhaize Usa - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Cloud Platform System, Machine Learning Operations - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b2d27331da170aa8 ## About the Role * 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, * Master's degree in a related field * Experience with enterprise AI tools and cloud ecosystems * Exposure to AI governance frameworks ## Description 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., * 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