The Mosaic Company
Manager, AI and Supply Chain Optimization | Continuous Improvement & Digital Tra
The Mosaic Company, Tampa, Florida, us, 33646
Manager, AI and Supply Chain Optimization | Continuous Improvement & Digital Transformation
The Mosaic Company
(NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. With more than 13,000 employees worldwide, our headquarters are in Lithia, Florida, serving customers across North America, Canada, and South America.
Location:
Onsite at our North American Business Headquarters in Fish Hawk, Lithia, FL (13830 Circa Crossing Drive). The campus offers an onsite gym and a welcoming workspace with free coffee and tea.
Job Summary:
We are seeking a hands‑on, technically driven leader to shape and execute our global AI, machine learning, and analytics‑driven optimization strategy across the supply chain. In this high‑impact role, you will lead transformative projects that integrate Python‑based modeling, Lean Six Sigma methodologies, and scalable digital solutions to drive measurable cost savings, productivity gains, and cycle‑time reductions.
What You’ll Do
Lead hands‑on modeling and optimization initiatives using Python, SQL, and visualization tools to deliver predictive and prescriptive solutions for supply chain planning and network optimization.
Develop and execute AI/ML and data science strategy aligned with Mosaic’s business vision and digital roadmap.
Apply emerging technologies (e.g., Generative AI, Copilot Studio) and best practices in MLOps to accelerate modeling, improve decision‑making, and enhance operational visibility.
Drive continuous improvement through Lean Six Sigma projects, Kaizen events, and root cause analysis, achieving measurable cost reduction and process standardization.
Coach and develop internal teams on analytics and process improvement methodologies to build sustainable capability and foster a data‑driven culture.
Partner with supply chain owners to translate business needs into technical requirements and deliver enhancements within supply chain planning platforms.
Lead change management and process governance efforts to ensure adoption of digital solutions, KPI tracking, and alignment of technology, people, and processes for maximum business impact.
What You’ll Need
Bachelor’s degree in statistics, data science, computer science, engineering or a related field.
7+ years of experience in supply chain optimization, data science, or process improvement with demonstrated success in digital transformation initiatives.
Proven experience leading Lean Six Sigma or continuous improvement projects.
Advanced proficiency in Python (pandas, scikit‑learn, PuLP, Pyomo) and SQL, with ability to translate models into actionable insights.
Experience with AzureML and Azure DevOps.
Skilled in data visualization and reporting tools such as Power BI and Excel Solver, with ability to communicate insights effectively to technical and non‑technical audiences.
Demonstrated ability to lead through influence, collaborate across global teams, and work effectively in Agile and SCRUM environments.
Bonus Points If You Have The Following
Master’s degree in a related field.
Green Belt or Black Belt certification.
Familiarity with Copilot Studio and Generative AI applications in process optimization.
Exposure to ERP systems such as SAP or Oracle.
Working knowledge of industrial data platforms such as AVEVA PI System (formerly OSIsoft PI).
Experience in warehouse layout optimization, transportation modeling, or network design.
What’s In It For You
An attractive base salary + an annual incentive.
11 paid holidays each year.
401(k) with a company match and annual company contributions.
Paid sick leave for when you need it.
Paid vacation.
A robust benefits package including Medical, Dental, and Vision insurance.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering, Information Technology, and Management
Industries Mining
#J-18808-Ljbffr
(NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. With more than 13,000 employees worldwide, our headquarters are in Lithia, Florida, serving customers across North America, Canada, and South America.
Location:
Onsite at our North American Business Headquarters in Fish Hawk, Lithia, FL (13830 Circa Crossing Drive). The campus offers an onsite gym and a welcoming workspace with free coffee and tea.
Job Summary:
We are seeking a hands‑on, technically driven leader to shape and execute our global AI, machine learning, and analytics‑driven optimization strategy across the supply chain. In this high‑impact role, you will lead transformative projects that integrate Python‑based modeling, Lean Six Sigma methodologies, and scalable digital solutions to drive measurable cost savings, productivity gains, and cycle‑time reductions.
What You’ll Do
Lead hands‑on modeling and optimization initiatives using Python, SQL, and visualization tools to deliver predictive and prescriptive solutions for supply chain planning and network optimization.
Develop and execute AI/ML and data science strategy aligned with Mosaic’s business vision and digital roadmap.
Apply emerging technologies (e.g., Generative AI, Copilot Studio) and best practices in MLOps to accelerate modeling, improve decision‑making, and enhance operational visibility.
Drive continuous improvement through Lean Six Sigma projects, Kaizen events, and root cause analysis, achieving measurable cost reduction and process standardization.
Coach and develop internal teams on analytics and process improvement methodologies to build sustainable capability and foster a data‑driven culture.
Partner with supply chain owners to translate business needs into technical requirements and deliver enhancements within supply chain planning platforms.
Lead change management and process governance efforts to ensure adoption of digital solutions, KPI tracking, and alignment of technology, people, and processes for maximum business impact.
What You’ll Need
Bachelor’s degree in statistics, data science, computer science, engineering or a related field.
7+ years of experience in supply chain optimization, data science, or process improvement with demonstrated success in digital transformation initiatives.
Proven experience leading Lean Six Sigma or continuous improvement projects.
Advanced proficiency in Python (pandas, scikit‑learn, PuLP, Pyomo) and SQL, with ability to translate models into actionable insights.
Experience with AzureML and Azure DevOps.
Skilled in data visualization and reporting tools such as Power BI and Excel Solver, with ability to communicate insights effectively to technical and non‑technical audiences.
Demonstrated ability to lead through influence, collaborate across global teams, and work effectively in Agile and SCRUM environments.
Bonus Points If You Have The Following
Master’s degree in a related field.
Green Belt or Black Belt certification.
Familiarity with Copilot Studio and Generative AI applications in process optimization.
Exposure to ERP systems such as SAP or Oracle.
Working knowledge of industrial data platforms such as AVEVA PI System (formerly OSIsoft PI).
Experience in warehouse layout optimization, transportation modeling, or network design.
What’s In It For You
An attractive base salary + an annual incentive.
11 paid holidays each year.
401(k) with a company match and annual company contributions.
Paid sick leave for when you need it.
Paid vacation.
A robust benefits package including Medical, Dental, and Vision insurance.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering, Information Technology, and Management
Industries Mining
#J-18808-Ljbffr