Senior Value Engineer
Senior Value Engineer partnering with manufacturing clients (CPG, pharma, process) to deliver ROI via Celonis Process Intelligence platform, AI agents, and automation. Combines deep manufacturing domain expertise, technical skills (SQL/Python/Prompt Engineering), and executive presence to lead pre-sales POVs, redesign processes, and articulate value to C-suite.
About the job
Key Responsibilities
- Drive pre-sales and "land" motions. Speak the language of plant managers and supply chain executives to prove Celonis can solve mission-critical manufacturing challenges.
- Proactively architect and prototype solutions using workflow orchestration, system write-backs, and AI agents to redesign operational processes.
- Apply hands-on SQL, Python, and Prompt Engineering skills to steer Apollo toward optimal data models and solution designs, reviewing and validating code for technical rigor.
- Lead complex Proof-of-Value (POV) projects. Facilitate technical discovery workshops, manage multi-stakeholder delivery, and align cross-functional client teams.
- Deliver compelling presentations to C-suite and VP-level stakeholders, translating technical AI/PI architectures into clear financial and operational ROI.
Requirements
- 5–7 years of experience in technical pre-sales, value engineering, or solution consulting within the Manufacturing sector (Automotive, Aerospace, CPG, or Industrial Equipment).
- Deep manufacturing domain knowledge across core operational processes (Supply Chain, Production Planning, Procure-to-Pay, Order-to-Cash, or Asset Management).
- Proven technical proficiency in SQL, Python, and Prompt Engineering with the ability to inspect code, validate logic, and guide data model creation.
- Hands-on automation background translating operational requirements into scalable solutions using orchestration, write-backs, or agentic frameworks.
- Track record of project ownership, including structuring workshops, navigating multi-stakeholder dynamics, and delivering executive readouts.
- Strong executive presence, with the ability to articulate complex technical solutions to non-technical business leaders.
- High-growth attitude: Exceptional adaptability, curiosity, and an eager willingness to learn evolving AI technologies and platform capabilities rapidly.
- Bachelor’s degree in Computer Science, Industrial/Operations Engineering, STEM, or equivalent experience.
Nice to Have
- Hands-on experience with Retrieval-Augmented Generation (RAG), LLM orchestration, and safety evaluation/guardrails.
- Experience integrating enterprise cloud platforms (AWS, Azure, GCP) with IT/OT environments (SAP, MES, PLM, SCADA).
Skills
SQL, Python, Prompt Engineering, RAG, Llm Orchestration, AWS, Azure, GCP, SAP, Mes, Plm, Scada, Process Mining, Agentic Automation
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