Lead Value Engineer - Life Sciences

Celonis; New York (NY); Hybrid; USD 157,000 - 184,000; Full time

Benefits offered by this job

RSUs

Hybrid work model

Unlimited PTO

Wellbeing benefits

Job summary

Celonis is seeking a Lead Value Engineer for Life Sciences in New York to drive AI-driven value through the Process Intelligence platform. You will lead technical discovery and capability demonstrations, shape AI-powered solutions for complex supply chains, and guide proof-of-value projects from concept to adoption.

You will mentor teams, partner with CSCOs and IT leaders, and help expand Celonis’ footprint in life sciences by delivering scalable, compliant AI solutions that integrate with ERP

Qualifications

• 8+ years of experience leading technical pre-sales and post-sales engagements in Life Sciences, Pharma, or MedTech supply chains.
• Deep understanding of Life Sciences supply chain processes (S&OP, Procure-to-Pay, Track & Trace, Cold Chain, Quality) and translating needs into AI use cases.
• Expertise in generative AI techniques (RAG, few-shot, prompt engineering, multi-agent orchestration).
• Strong knowledge of Python ML libraries and data engineering tools for large, siloed datasets.
• Strong presentation skills for executives and IT leaders, with ability to lead demos and readouts.
• Bachelor’s Degree required; Master’s Degree in CS, supply chain, engineering, math, or related fields preferred.

Responsibilities

• AI discovery and solutioning to translate client logistics requirements into AI solutions.
• Lead pre- and post-sales cycles with technical demonstrations and value realization guiding adoption thresholds.
• Prototype AI solutions in hackathons and prototyping sessions for complex supply network problems.
• Support clients in achieving ROI from AI deployments with PI platform integration into ERPs (e.g., SAP) and QMS.
• Drive domain leadership in Life Sciences Supply Chain across the organization.

Skills

Life Sciences domain expertise

Pre-sales

Post-sales

AI/ML solutions

Python

LangChain

Pandas

PyTorch

Education

Bachelor's Degree

Master's Degree preferred

Tools

Python

LangChain

Pandas

scikit-learn

PyTorch

Job description

## Lead Value Engineer - Life Sciences### Summary* Value Engineering* Experienced Professional* New York, United StatesCelonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.**Role Description**As a Lead Value Engineer specializing in the Life Sciences, you are pushing the envelope in solving business-critical problems for the world's largest, most diversified life science organizations. You will be working intimately with this strategic client, understanding their uniquely complex objectives—spanning from logistics to the precision distribution of advanced products—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners (e.g., Microsoft, OpenAI, Databricks)..With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers’ supply chain networks and enables them to industrialize AI. This unlocks real ROI on AI deployments at scale, ensuring life-saving products reach patients faster and safer. There is no AI without PI. You will prototype these solutions, demonstrate their value to Chief Supply Chain Officers (CSCOs) and operational leaders, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across the life sciences sector.**Key Responsibilities*** **AI Discovery & Solutioning:** Understand the client's overarching AI strategy and the distinct supply chain challenges across both their MedTech portfolios (e.g., mitigating global raw material shortages, optimizing supply chains, managing inventories, or accelerating quality batch releases). As a Celonis product and life sciences domain expert, translate these complex, multi-tiered logistics requirements into innovative AI solutions that drive measurable impact..* **Pre- and Post-Sales Execution:** Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds in the supply chain are successfully reached.* **Hackathons & Prototyping:** Think out of the box, have a „can-do“ attitude, and don’t shy away from complex, fragmented supply chain networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points in planning, sourcing, manufacturing, and distribution.* **Agentic Process Transformation:** Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., autonomous inventory rebalancing or intelligent shipment exception handling).* **Proof Projects:** End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise ERPs (e.g., SAP), Quality Management Systems (QMS), and strict regulatory frameworks (FDA, EMA, GxP).* **Domain & Industry Leadership:** Serve as the internal and external technical subject matter expert for the Life Sciences Supply Chain, scaling knowledge across the organization regarding pharmaceutical manufacturing and logistics processes.**Requirements*** **8+ years of experience leading technical pre-sales and post-sales engagements specifically within Life Sciences, Pharmaceutical, or MedTech supply chains.** This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.* **Deep understanding of supply chain business processes native to Life Sciences** (such as Sales & Operations Planning (S&OP), Procure-to-Pay, Track & Trace, Cold Chain Management, or Quality Control/Batch Release) with the ability to translate high-level business needs into specific AI use cases.* **Expertise in generative AI techniques** like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent chatbots for supplier collaboration, automated extraction of data from complex customs or quality documents).* **Solid knowledge of Python and common ML libraries** (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for handling massive, siloed supply chain datasets.* **Strong presentation skills** to both internal and external stakeholders (including supply chain executives and IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos.* **Bachelor’s Degree required;** Master's Degree in computer science, supply chain management, engineering, mathematics, or related fields, or equivalent work experience preferred.**Nice to Have (Big Plus)*** **Hands-on experience building agentic systems** using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for highly regulated (GxP) life sciences environments.* **Familiarity with life sciences supply chain data standards and systems** (e.g., GS1 EPCIS for traceability, SAP APO/IBP, Kinaxis).* **Working knowledge of tools in the LLM ecosystem** such as LangChain, LlamaIndex, or other OSS packages.* **Experience in deploying and monitoring models at scale** across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).Visa sponsorship is not offered for this role. Learn More about Value Engineering at Celonis HereThe base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in New York, based on a Full Time Schedule.$157,000—$184,000 USD**What Celonis can offer you:*** Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.* Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.* Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.* Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.* Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.* Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.* Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.* Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.* Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.**About Us:**Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.Get familiar with the Celonis Process Intelligence Platform by watching this video.**Celonis Inclusion Statement:**At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.**Your Privacy:**Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate NoticesBy submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.Please be aware of common job offer scams, impersonators and frauds. Learn more here.Requisition ID: R14914