Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Role

We are looking for a Lead Value Engineer, Consumer Packaged Goods (CPG)—an industry expert who can bridge the gap between technical process mining, AI-driven automation, and strategic business outcomes. You will act as an architect for critical SaaS adoption work-streams within a major CPG account, translating complex operational data and predictive insights into clear value drivers.

As a Lead Value Engineer, you are a "go-to" execution expert within our CPG go-to-market organization. You will move beyond standard process optimization to link Celonis' Process Intelligence and AI capabilities to key outcomes specific to fast-moving consumer goods operations.

You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers, driving rapid Time-to-Value (TTV) and maximizing Customer Lifetime Value (CLTV). You are our customers' trusted advisor, helping them achieve their strategic goals, scale their cloud software adoption, and realize significant ROI using the Celonis Process Intelligence Platform.

In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and accelerate the enterprise-wide adoption of our SaaS platform. You will blend deep process and industry expertise with a proven consulting skill set, an AI-solution mindset, and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do

Identify & Frame Value

Translate Strategy to Operations: Analyze the client’s strategic priorities (e.g., Omnichannel Growth, Margin Protection, Supply Chain Agility, and Sustainability) and map them to high-impact, AI-augmented Celonis use cases.

Target High-Impact Areas: Architect solutions that connect data across the value chain—moving beyond simple task automation to leveraging machine learning and process intelligence to optimize complex ecosystems like Demand Planning, Trade Promotions Management (TPM), Logistics, and Direct-to-Consumer (D2C) fulfillment.

Build the Business Case: Construct robust, data-backed business cases that articulate the financial impact and SaaS ROI of Process Intelligence (e.g., reducing Cost of Goods Sold, optimizing working capital, or improving OTIF delivery) to senior management.

Win Expansion: Build demos and business cases leveraging industry benchmarks, predictive modeling, and best practices in order to win new expansion opportunities and drive Annual Recurring Revenue (ARR) growth.

Assess Value: Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity, AI integration potential, and strategic SaaS roadmap to C-Level executives.

Realize Value

Drive Engagement Success: Lead the value workstream for pilots and implementations, ensuring the "digital twin" strategy and predictive AI models effectively monitor process health in fast-paced, high-volume retail environments.

Orchestrate Improvement: Guide customers on how to use Celonis to provide intelligent context to their AI agents, coordinating automated hand-offs and complex decision-making between systems and teams in Order-to-Cash, Source-to-Pay, and Plan-to-Produce.

Solve Systemic Challenges: Work cross-functionally to tackle difficult implementation hurdles, helping customers leverage AI and data to define standards for Retailer Compliance, master data governance, or supply network visibility.