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Celonis is seeking a Lead Value Engineer to architect and drive large-scale AI and data-driven business transformation within the Pharmaceutical sector using the Celonis Context Model. You will combine technical execution with consulting and project management, working alongside Senior and Principal Value Engineers to support complex roadmaps and execute targeted transformation initiatives.
Key Responsibilities:
Value Selling & Realization: Map how the Celonis platform accelerates the customer's enterprise AI strategy. Take end-to-end accountability for massive ROI targets. Craft board-level executive narratives and lead complex, multi-workstream value workshops.
Stakeholder Management: Execute C-level orchestration, cultivating powerful executive sponsorship across the C-suite. Drive lasting adoption by co-owning enterprise-wide change management and building advanced Centers of Excellence operating models for total self-sufficiency.
Program Management: Steer and govern massive, cross-regional transformation programs. Implement highly advanced AI-driven account planning across a portfolio of workstreams. Build actionable frameworks that empower customers to quantify processes at a global scale.
Platform & AI Fluency: Operate as a master AI-fluent operator, leveraging advanced copilots for rapid technical outputs and seamlessly orchestrating Applied Value Engineers for complex architectural builds.
Scale Value: Define the strategic expansion roadmap, positioning Celonis as the underlying intelligence layer for the enterprise. Guide product development by identifying next-generation industry use cases.
You will work with Fortune 500 customers in the pharmaceutical sector, owning their transformation journey and ensuring the Celonis Platform is deployed to tackle the most strategic business challenges while generating strong ROI through deep and broad deployments.
Requirements:
- 7+ years of highly relevant experience, demonstrating ownership of multiple strategic workstreams and possessing a growing body of expert industry knowledge
- Deep background in enterprise IT and SaaS (e.g., SAP); master AI-fluent operator who uses AI to scale outputs and guides technical teams on complex solution design
- Thrives in ambiguity, capable of setting the strategic direction for entire account teams; deeply committed to living for customer value
- Master of value realization, setting the standard for business-critical proof points and advanced use cases
- Expert at orchestrating massive enterprise programs and navigating portfolio complexities; proven ability to mobilize C-suite sponsorship
- Flawless English and German with exceptional executive presence
- Expert knowledge in Finance/Supply Chain and deep expertise in Pharmaceutical market dynamics; stay continuously updated on business-critical use cases
- Degree in Engineering, Computer Science, Mathematics, Business Analytics, or comparable technical degree; or Business/Economics degree paired with a technical minor
