Lead Value Engineer - Consumer Packaged Goods (CPG)

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.
• Facilitate Workshops: Run business value workshops and use Celonis to identify, qualify, and quantify opportunities for intelligent process enhancement.
• Initiate Change: Derive improvement measures in core business functions, initiate enterprise-wide change initiatives, and ensure sticky adoption of our platform features.
• Present Results: Present results, realized value, and software utilization metrics to senior management and C-level executives.

Scale Value

• Codify Best Practices: Turn our solutions into scalable SaaS assets, reusable AI models, and use cases for the broader Value Engineering team.
• Mentor & Enable: Act as a senior resource for the team, helping junior engineers understand CPG terminology, seasonality nuances, and how to position AI capabilities to retail stakeholders.
• Product Feedback: Serve as a bridge between the customer and our Product teams, providing specific feedback on how to enhance our platform's machine learning and generative AI features for the CPG vertical (e.g., specific requirements for Trade Spend visibility or SKU Rationalization).
• Manage the Journey: Responsible for the end-to-end customer value journey: landing, expanding, driving adoption, and renewing—ultimately securing high Net Retention Rates (NRR).
• Build Roadmaps: Build a strategic expansion roadmap for customers embedding the Celonis Process Intelligence Platform as a scalable, cloud-native transformation engine in their organization.
• Drive Innovation: Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new AI-driven use cases and SaaS market demands.

The qualifications you need:

• Deep Industry Experience: 8 years of relevant experience in Finance, Supply Chain, or Operations, ideally combining time at a CPG/FMCG company with Management Consulting, Sales Engineering, or driving digital/AI transformations.
• Domain Expertise: You possess granular knowledge of the CPG value chain, specifically in areas such as Demand & Supply Planning, Logistics, Trade Promotions, or Consumer/Retail Operations.
• Growth Mindset: Proven track record of managing the full customer lifecycle, with a demonstrated ability to land new accounts, expand footprint through strategic upselling, and drive long-term value to ensure high NRR, organic advocacy, and sustained SaaS growth.
• Value Realization Skills: You have a track record of identifying operational inefficiencies and driving them to resolution. You understand how to impact the P&L through process improvement, AI integration, and scalable technology deployment.
• Technical Fluency: Good knowledge of Business Software/SaaS applications (e.g., SAP S/4HANA, Salesforce Consumer Goods Cloud, SAP IBP), and experience with data visualization, SQL, Python, or deploying LLMs/AI models is a strong plus.
• Stakeholder Management: Experience presenting to and working with senior stakeholders. You can navigate complex internal structures and clearly communicate SaaS value and complex AI concepts to non-technical audiences.
• Builder Mentality: You are comfortable working with ambiguity, adapting to a rapidly evolving AI landscape, and setting your own direction within an account team to achieve the best results.
• Degree: Degree in Industrial/Business Engineering, Supply Chain Management, Informatics, Mathematics, or similar.

Visa sponsorship is not offered for this role.

The 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 is for the role in New York, based on a Full Time Schedule.