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Celonis is the global leader in Process Intelligence and Process Mining technology. As a Senior Applied Value Engineer, you will work with strategic customers in the healthcare and life sciences sectors to unlock business value through AI-powered process intelligence solutions.
You will own the end-to-end customer value journey—from discovery and solutioning through implementation, adoption, and expansion. Your core responsibilities include:
**AI Discovery & Solutioning:** Partner with customers to understand their AI strategy and business-critical challenges. Leverage your expertise in Celonis' Process Intelligence platform and AI capabilities (integrated with Microsoft and OpenAI) to identify the best problem-solution fit and translate requirements into innovative solutions.
**Value Identification & Framing:** Discover and translate strategic priorities into high-impact use cases. Build compelling demos and business cases using industry benchmarks. Conduct value assessments and proof-of-value projects, communicating opportunities and strategic roadmaps to C-level executives.
**Value Realization:** Facilitate business value workshops to identify process enhancement opportunities. Derive improvement measures across core business functions and drive enterprise-wide change initiatives. Present results and realized value to senior management.
**Scale & Expansion:** Build strategic expansion roadmaps embedding Celonis as a transformation platform. Drive adoption and expansion across customer organizations. Provide feedback to product teams on new use cases and platform enhancements.
You will blend deep process and industry expertise with strong consulting and analytical skills, working across healthcare, life sciences, supply chain, finance, and other verticals. The role requires 7+ years in analytical, customer-facing roles (solution consulting, sales engineering, management consulting, or enterprise analytics centers of excellence). You should have hands-on experience with business software/SaaS applications (SAP, Oracle), RPA, BI tools, and ideally process mining. SQL and Python proficiency are preferred. Domain knowledge in healthcare, supply chain, finance, or manufacturing is a plus.
