Strategic Engagement Lead
Role Overview
We are seeking Strategic Engagement Leads to help drive the successful design, deployment, and value realization of enterprise AI initiatives within complex organizations.
This is a highly client-facing strategic delivery role. Strategic Engagement Leads work directly with customer stakeholders, Domain Value Architects, and Forward Deployment Engineers to understand business priorities, structure complex problems, identify high-value opportunities, and translate strategic objectives into actionable AI deployments.
You will operate at the intersection of strategy, business transformation, and technology. Strategic Engagement Leads are expected to bring strong structured thinking, business judgment, and the ability to quickly learn complex customer environments. You will play an active role in customer workshops, use-case development, deployment planning, stakeholder alignment, and value tracking. Success in this role requires comfort working directly with clients, navigating ambiguity, and taking ownership of workstreams from initial discovery through deployment and adoption.
This role is well suited for individuals with experience in consulting, strategy, transformation, or complex technology implementations who want to work directly with customers on high-impact AI transformation.
Key Responsibilities
Client Strategy & Deployment
Client & Stakeholder Engagement
Strategic Problem Solving
Orchestration & Collaboration
Travel may be required for key customer engagements, workshops, and deployments.
Qualifications
Experience
Education
Bachelor’s or Master’s degree in a related field.
What This Role Is, and Is Not
This role is not a PMO position focused primarily on timelines, status reporting, meeting coordination, or administrative project management.
Strategic Engagement Leads are expected to be active participants in solving the customer's business problems. You will spend significant time directly with customers, understanding their challenges, structuring solutions, developing recommendations, prioritizing opportunities, and helping translate those opportunities into successful AI deployments.
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