Job
Description
Project Leadership : Manage ICERTIS GenAI application implementations. Take ownership of customer relationships for enterprise clients. Team Development : Build and foster internal consulting capabilities within the AI implementation team. Hire, develop, and manage a team of professionals to ensure timely, quality project delivery. Serve as a role model for project management, best practices, proactive action, and creative problem-solving. Client Engagement Delivery : Define project scope in collaboration with business teams to ensure optimal implementation. Drive system configuration, deployment activities, and deliver high-quality solutions. Maintain strong customer relationships, serving as the company sponsor for key deployments. Serve as an escalation point for clients, ensuring smooth delivery and issue resolution. Cross-Functional Collaboration : Work closely with sales, presales, support, training, and development teams to drive customer success. Review key project deliverables with teams and provide accurate forecasts to management. Process Documentation : Develop and maintain project plans, including task assignments, training materials, reports, process flows, dashboard metrics, etc Strategic Contribution : Contribute to the product roadmap through insights from customer interactions and implementation experience. Build an organization that supports successful implementations of the Icertis Contract Management product. Travel : Willingness to travel to client sites for project-related meetings. Qualifications: Experience : 20-25 years of experience, with a proven track record in enterprise application implementation. Prior experience in Contract Management or Supply Chain application implementations preferred. Recent experience managing GenAI projects/solutions for enterprise customers. Deep exposure to AI models, especially Azure OpenAI and ChatGPT. Skills Competencies : Expertise in end-to-end enterprise project management and delivery. Strong analytical and problem-solving skills with a data-driven approach. Excellent written and verbal communication, with strong CXO-level presentation skills. Comfortable in a hands-on contributor role. Skilled in process improvement, decision making, planning, and standard development. Education : Bachelor s degree in Science or Engineering (mandatory). MBA preferred.
