Industry Solution Director – Supply Chain

Industry Solution Director – Supply Chain

Requirements

• 10+ years of experience solving Inventory, Logistics, and Scheduling challenges in Transportation, Manufacturing, and R&D environments.
• BS/MS/PhD in Industrial Engineering / Mechanical Engineering / Chemical Engineering / Aerospace Engineering / Biomedical Engineering / Supply Chain Management.
• 10+ years of work experience in technical problem solving.
• Knowledge of existing AI/ML/Big Data use cases in the industry and the ability to lead use case development with customers.
• Experience with Network Analysis, Sequencing Problems, Linear Programming, Queuing, Inventory Control, Replacement Problems.
• Excellent verbal and written communication and presentation skills, and experience in delivering effective presentations to senior executives – decision-makers, IT executives, and SMEs.
• Technical, polished, driven, goal-oriented, and proven record of delivery.
• Ability to learn quickly with excellent analytical problem-solving skills.
• Ability to lead projects and work collaboratively across diverse global distributed teams.
• Have directly led or supported the sales process.

Responsibilities

• Lead high-performing C3 AI teams including data scientists, solutions engineers, application engineers, and product managers in the delivery of quick turnaround, production-ready AI/ML applications.
• Collaborate with decision-makers, IT leaders, Data Science Leads, and subject matter experts to identify and frame compelling use cases for the C3 AI Suite.
• Work as a trusted partner with C3 AI Sales and potential customers to communicate the C3 AI offering, define tractable AI/ML/Optimization use cases, and scope production-ready AI/ML/Optimization applications.
• Contribute domain expertise to inform data science efforts and lead domain-specific customer conversations.
• Convert firsthand experience into impactful input to our product direction and strategy.
• Regular travel (25+%) to customer sites is required.

Preferred Qualifications

• Master of Science in Data Science, Operations Research, Engineering, Statistics, Applied Math or similar field.
• Experience analyzing large datasets with Big Data/AI/ML tools. Familiar with frameworks such as Value Stream Map or Process Mining.
• Experience working in an agile engineering organization.
• Understanding of the competitive landscape in Supply Chain solutions as well as enterprise big data and machine learning platforms.
• Competency in public speaking and customer interaction.