Senior Value Engineer – Manufacturing

Celonis; Chicago (IL); On-site; USD 130,000 - 180,000; Full time

Job summary

Celonis is seeking a Senior Value Engineer - Manufacturing to solve critical operational problems for strategic accounts in CPG, pharma, and process manufacturing. You will blend hands-on SQL, Python, and Prompt Engineering with high-level strategy to redesign processes and drive ROI at scale.

You will lead POV projects, architect data models, and deliver executive-ready readouts, partnering with IT/OT ecosystems and AI/PI platforms.

Qualifications

• 5–7 years of experience in technical pre-sales, value engineering, or solution consulting within Manufacturing.
• Deep manufacturing domain knowledge across core operational processes.
• Proven proficiency in SQL, Python, and Prompt Engineering with ability to inspect code and validate logic.
• Hands-on automation background translating requirements into scalable solutions.
• Experience leading workshops and presenting to executives.

Responsibilities

• Drive pre-sales and land motions, speaking to plant managers and supply chain leadership.
• Architect and prototype automated solutions using orchestration and AI agents.
• Steer data modeling and validate code for robustness and performance.
• Lead end-to-end POV projects and coordinate multi-stakeholder delivery.
• Deliver compelling executive-ready ROI presentations to C-suite.

Skills

SQL

Python

Prompt Engineering

Education

Bachelor’s degree in Computer Science, Industrial/Operations Engineering, STEM, or equivalent experience

Job description

As a Senior Value Engineer - Manufacturing at Celonis, you will solve business-critical operational problems for strategic accounts across CPG, pharmaceutical, and process manufacturing. Working alongside top AI/ML partners like OpenAI, Microsoft, and Databricks, you will leverage the Celonis Process Intelligence (PI) platform and Apollo to bridge IT/OT systems (ERP, MES, SCADA), feed business context to AI, and drive measurable ROI at scale.

In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy—redesigning processes via agentic automation, steering data architectures, and leading end-to-end client engagements from technical workshops to executive readouts.

Key Responsibilities

• Pre-Sales & Industry Credibility: 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.
• Process Re-Design & Agentic Automation: Move beyond passive analytics. Proactively architect and prototype solutions using workflow orchestration, system write-backs, and AI agents to redesign operational processes.
• Technical Steering & Data Modeling: 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.
• End-to-End Project Ownership: Lead complex Proof-of-Value (POV) projects. Facilitate technical discovery workshops, manage multi-stakeholder delivery, and align cross-functional client teams.
• Executive Value Articulation: 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.
• Education: 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).

Sponsorship is not available for this role.