Engagement Lead

As Engagement Manager at Circana, you lead end-to-end AI deployment engagements for clients in CPG, General Merchandise, and Retail. You act as the senior partner, aligning business outcomes with technical delivery and adoption. You guide cross-functional teams through deployment, change management, and value realization, coordinating with client leadership to ensure on-time, scoped outcomes. This role offers impact at scale with a focus on continuous improvement and client-centric value creation. Own end-to-end client engagements for AI deployments, accountable for business outcomes, technical integration and adoption Lead cross-functional deployment teams to deliver AI solutions aligned with client objectives Provide AI deployment expertise and best practices when needed Advise on deployment strategies, integration, process improvements, and change management Oversee the deployment lifecycle from sale to post-deployment support Conduct needs assessments and strategic planning for AI deployment Manage timelines, solution revenue, resources, and KPIs to ensure timely, within-scope delivery Communicate progress with senior leadership and client stakeholders Guide clients through adoption using change management principles Develop and maintain relationships with key client stakeholders as primary project contact Foster a culture of continuous improvement and scale within the deployment team Strong passion for AI and understanding of AI technologies in business Proven track record leading technology deployments; hands-on experience with AI solutions using LLMs and related patterns Ability to engage with client IT, data architecture, and AI governance teams Excellent communication and interpersonal skills for diverse stakeholders Strong analytical and problem-solving abilities; ability to synthesize complex information Proven leadership and team management skills with geographically dispersed teams Minimum 5 years in a managerial Engagement Manager or similar role in consulting Experience in CPG, General Merchandise, and/or Retail; knowledge of Market Research is a plus Master's degree in Business Administration, Information Technology, Data Science, or related field preferred

#J-18808-Ljbffr