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Lead AI Consultant (Field)

Celonis - Madrid, Spain - In-office - posted 2026-09-01

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Celonis is seeking a Lead AI Consultant (Field) to lead the delivery of Celonis solutions across the Iberia and LATAM region. You will serve as the backbone of Celonis Services delivery, leading hands-on implementation of enterprise AI solutions that combine platform expertise with AI-augmented workflows. In this role, you will manage junior Consultants and collaborate with cross-functional experts (AI, Product, Functional) to ensure customers achieve measurable value and adoption. You are not a traditional consultant building everything manually—instead, you are a product expert and AI-augmented delivery professional who specifies what needs to be built, directs AI agents to execute, validates results, and iterates with customers. Pre-Sales Responsibilities: - Design tailored deployment roadmaps and implementation strategies aligned with customer maturity - Estimate project timelines, team structures, and professional services effort for commercial proposals - Partner with Account Executives and Value Engineers to translate business cases into actionable deployment plans - Draft Statements of Work defining scope, deliverables, assumptions, and acceptance criteria - Align client expectations with operational feasibility to prevent scope creep Post-Sales Responsibilities: - Lead business discovery workshops translating strategic objectives into high-impact Celonis use cases - Collaborate with customer IT and business stakeholders to define scope, data requirements, and success criteria - Ensure data connectivity and extraction pipelines are properly configured - Direct AI deployment agents to build data models, process analyses, KPIs, and dashboards - Build and configure Celonis solutions across the platform including Process Intelligence Graph, data transformations, and operational solutions - Identify process inefficiencies and root causes using Celonis technology - Validate AI-generated outputs for accuracy, business relevance, and customer context alignment - Lead value creation workshops and define improvement measures - Define and build KPIs measuring customer success and quantifying business impact You will combine deep domain and industry expertise with serious platform mastery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. This role requires understanding customer business problems, designing solutions that solve them, and quantifying delivered value.

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