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Salary: USD 215,000 - 245,000 / annual
Celonis is the global leader in Process Intelligence and Process Mining technology, pioneering AI-driven business transformation. The company's Context Model combines process data, business knowledge, and intelligence into a living digital twin that enables AI to understand enterprise operations at scale.
As a Lead Value Engineer for the Insurance vertical, you will architect and drive large-scale AI and data-driven business transformation across North America. You will work with Fortune 500 customers on their most strategic business challenges, combining technical execution with consulting and program management expertise.
Key responsibilities include:
**Value Selling & Realization:** Map how the Celonis platform accelerates enterprise AI strategy. Take end-to-end accountability for ROI targets. Craft board-level executive narratives and lead complex, multi-workstream value workshops.
**Stakeholder Management:** Execute C-level orchestration and cultivate executive sponsorship across the C-suite. Drive adoption by co-owning enterprise-wide change management and building advanced Centers of Excellence (CoE) operating models for customer self-sufficiency.
**Program Management:** Steer and govern massive, cross-regional transformation programs. Implement advanced AI-driven account planning across multiple workstreams. Build actionable frameworks that empower customers to quantify processes at global scale.
**Platform & AI Fluency:** Operate as a master AI-fluent operator, leveraging advanced copilots for rapid technical outputs and orchestrating Applied Value Engineers for complex architectural builds.
**Scale Value:** Define strategic expansion roadmaps, positioning Celonis as the underlying intelligence layer for the enterprise. Guide product development by identifying next-generation industry use cases.
You will partner closely with Sales and local/global Value Engineers to ensure platform deployment tackles strategic business challenges, fits into the customer's technology stack, and generates strong ROI through deep and broad deployments.
**Requirements:**
- 8+ years of highly relevant experience demonstrating ownership of multiple strategic workstreams and growing 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
- Builder mentality: thrives in ambiguity, capable of setting strategic direction for entire account teams, deeply committed to 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 with exceptional executive presence
- Expert knowledge of the Insurance Industry and expertise in business-critical use cases such as Claims management and Policy Administration
- Degree in Engineering, Computer Science, Mathematics, Business Analytics, or comparable technical degree; or Business/Economics degree paired with a technical minor
