Collaborate with customers to craft compelling AI use cases that drive business value and translate use cases into detailed requirements.
Turn business requirements into AI application features and capabilities, map use cases to granular team tasks, and produce detailed project work plans.
Lead dedicated C3 AI teams comprising of Data Science, Application Development, Data Integration, Product Management, and DevOps professionals.
Work across internal teams to make necessary trade-offs between short-term customer deliverables and long-term product roadmap items.
Run project governance activities (project plans, weekly status reviews, cross-functional meetings, executive status reviews).
Anticipate stakeholder needs, remove obstacles, track and address risks before they become issues, and manage expectations.
Quantify and track value metrics that can be realized from C3 AI solutions.
Advise executive customer stakeholders on future use case roadmaps and drive customer success and adoption with a focus on customer retention and expansion.
Develop high-quality and polished internal and external communications to influence customer and C3 AI success.
Communicate effectively and proactively with customers to build trusted relationships.
Travel to customer sites (20% average)
Requirements & Skills:
Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or similar field; Advanced Engineering degree or MBA preferred.
Minimum of 6 – 15 years of business consulting and product or 0 – 1 delivery management experience with enterprise SaaS solutions.
Experience leading customer engagements with substantial exposure and involvement with AI/ML, data science, cloud infrastructure, solution architecture, application development, and data engineering.
Credible customer presence. Capable of communicating effectively and stepping into a trusted advisor role.
Strong customer orientation with a drive to build intimacy with users and their organizations’ needs.
Data-driven, analytically oriented, with a commitment to process improvement.
Demonstrated ability to navigate between the business and technical domains of a software implementation project while providing leadership in both areas.
Excellent presentation and written communication skills with keen attention to detail.
