Industry Solution Director - Supply Chain at C3 AI

C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. 

The Industry Solution Director role is a combination of Business and Product Development with high level of domain expertise. Industry Solution Directors will work with our customers to identify and quantify high-impact business opportunities and scope them into problems that can be solved by C3 AI’s platform, then drive the delivery of solutions with compelling business value. Industry Solution Directors have a detailed understanding of C3 AI’s competitive position in the Operations Research, Logistics, Network Analysis solutions markets and deep knowledge of the related problems AI/ML and Optimization can solve.

Recent examples of successful engagements include production schedule optimization, supply network visibility, supply chain process mining, and assembly line predictive maintenance. These are impactful projects with high levels of internal and external visibility.

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.

Qualifications:

Qualified candidates will combine an advanced technical degree with domain expertise in diverse supply chain environments.

• 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.

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.