Job Description
We are seeking an experienced Data Science Manager to lead and scale AI and ML solutions across enterprise applications at one of our largest Supply Chain clients. The ideal candidate will bring a balance of team mentorship and technical architecture expertise to help drive Agentic AI initiatives from POC to Deployment. This person will own the end-to-end lifecycle of GenAI solutions, defining technical strategy, designing architecture, and leading the team through the delivery process.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- Bachelor's Degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or related
- 10+ Years Experience in Data Science or related field with ML/AI career progression
- 5+ Years in a supervisory or leadership role with people management and mentorship
- 5+ Years Experience developing and deploying AI/ML solutions from POC to deployment on an enterprise level, preferably in an Azure environment (Azure AI, Azure Machine Learning Studio, Azure Open AI, etc.)
- Expertise in Azure AI environment with applicable Azure certifications
- Experience with deep learning agent frameworks (TensorFlow, PyTorch, Keras, Microsoft Agent Framework, etc.)
Nice to Have Skills & Experience
- Master's Degree in Data Science, AI/ML, Business Analytics, or related
- Advanced certifications in AI/ML, Cloud Architecture, or MLOps/LLMOps
- Hands-on coding experience
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.