HAVI is looking to solve complex supply chain problems for its clients using cutting-edge analytics and technologies such as AI/ML/Gen AI/Optimization.
Requirements
- Expertise in analytic tools and methodologies such as optimization, simulation, forecasting, machine learning, artificial intelligence.
- Advanced proficiency in Python, Databricks, AI and GenAI, prompt engineering, and Azure or equivalent cloud technologies.
- Familiarity with food service, restaurant operations, demand planning, supply planning, distribution and logistics a plus.
Responsibilities
- Develop prescriptive and predictive analytics initiatives that enhance supply chain performance, including demand forecasting, inventory optimization, integrated planning, and risk mitigation.
- Develop and evangelize innovative modeling approaches, leveraging machine learning, simulation, and optimization to solve complex supply chain challenges.
- Support thought leadership by identifying emerging trends and technologies.
- Influence stakeholders through compelling storytelling, data-driven recommendations, and articulation of business impact.
- Collaborate cross-functionally with planning delivery, product, sales and account management, and technology to align analytics solutions with business priorities globally.
- Foster a culture of continuous learning and analytical excellence.
- Design and implement scalable analytics frameworks and tools that support long-term supply chain analytics transformation.
Other
- Master’s degree in operations research, mathematics, statistics, engineering or closely related field; PhD preferred.
- 3+ years of data analytics, business intelligence and/or insight experience, or relevant fields with a Bachelor’s degree and with a strong focus on predictive modeling in supply chain.
- Good communication skills and presence, with experience presenting to key stakeholders.
- Must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.
- 5% targeted bonus
