Manager SCM AI Analytics Developer

Job Title:
Mgr SCM Analytics Developer

As the Manager SCM Analytics Developer, you will provide strategic leadership and guidance to a team of analytics and AI developers, driving the development and implementation of advanced analytics solutions that support and accelerate supply chain performance. You will align analytics and AI initiatives with business objectives, foster a data‑driven culture, and ensure high standards of analytical rigor and innovation.

This position is located on site in Miramar, FL with no relocation assistance. Applicants must be authorized to work in the US without any restrictions; no visa sponsorship or transfer is available.

• Manager role will be instrumental in supporting a long-term vision of supply chain through effective implementation of business processes and leadership to enable organizational transformation proactively.
• Drive optimization of existing data processes, promoting automation, efficiency, and continuous improvement through technologies such as Databricks (AI), SQL, Python, Tableau, VBA, Advanced Excel, Power Query, and SharePoint workflows.
• Support the design, development, and deployment of AI/ML models and intelligent agents.
• Focus on strategic decision making in replenishment, logistics, and nationwide distribution structure.
• Initiate and collaboratively develop opportunities with key stakeholders to improve processes and reduce waste and cost.
• Execute and ensure procurement processes applying sourcing/purchasing/corporate/Business Partner policies.
• Identify strategic opportunities to leverage the end-to-end Supply Chain to drive efficiencies.
• Assist Supply Chain Executives with timely, accurate, pertinent information and analysis and aid in monitoring, evaluating, and improving performance and related metrics of the Supply Chain operation.
• Act as a liaison between specialized departments within and outside the supply chain organization; work cross-functionally to develop strategic planning with a holistic approach to future business needs.
• Ensure appropriate use of analytical tools so that analysis and reporting is accurate, timely, and complete.
• Partner with functional managers in Supply Chain Management to understand current and future business requirements and identify and implement process and organizational improvements.
• Optimize existing processes and resources with clear goals and benchmarks of improvement, development, and management of sound business practices and efficient processes.
• Analyze quantitative and qualitative inventory, forecast, sales, logistics, and financial data.
• Apply advanced analytical methods and tools to develop and compute measurements on key performance throughout the Supply Chain.

• Bachelor’s degree is required;
  Master’s degree (e.g., MBA, MS) preferred.
• Specialization in Supply Chain Management, Finance, or Engineering is preferred.
• At least 3 years of experience in analytics. Supply chain experience preferred but not required.
• Proven leadership experience in data science, analytics, or business intelligence, preferably within a supply chain or operations environment.
• Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast‑paced, dynamic environment.
• Exceptional communication, interpersonal, and stakeholder‑management skills.
• Track record of developing talent and building high‑performing analytical teams.
• Thorough analytical, investigative, and problem‑solving skills.
• Timeliness, accuracy, and professionalism.
• Expert knowledge in Excel, including pivot tables, power queries, vlookups and other advanced formulas.
• Expertise in data modeling, reporting, and visualization tools (e.g., Tableau, SAP Business Objects, Power BI).
• Proficiency with VBA, Task Scheduler, Power Automate, and MS tools.
• Proficiency in programming (Python, SQL) and automation tools.
• Exposure to cloud AI/ML platforms (Databricks, AWS Sage Maker, Azure ML, Azure OpenAI) and AI agent frameworks.
• Familiarity with modern AI tools and frameworks (e.g., APIs, cloud AI platforms, or agent frameworks) used to build and integrate AI agents into applications.
• Exposure to…