Lead Value Engineer - Energy

<div class="content-intro"><p>Celonis 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.</p></div><p>We are looking for a Lead Value Engineer, Energy—a product and value engineering leader with 10 years of experience in the Energy sector (Oil &amp; Gas or Utilities). You will act as an architect for critical SaaS adoption workstreams within major energy and utility accounts, building data-driven business cases, backing them with AI and automation solutions, and driving them through execution.</p> <p>As a Lead Value Engineer, you are a "go-to" execution expert within our go-to-market organization. You will move beyond standard process optimization to link our Process Intelligence platform to key operational and financial outcomes for Tier-1 energy operators and utility providers.</p> <p>You will work in partnership with Sales Teams and have full responsibility for the end-to-end value journey of our customers, managing enterprise health check assessments and facilitating workshops with C-suite and field department leads. You are our customers' trusted advisor, helping them achieve their strategic goals, scale their cloud software adoption, and deliver a 3-year strategic transformation roadmap with ranked initiatives, projected costs, and business outcomes.</p> <p>In collaboration with our partners and Services, you will drive measurable business impact across the end-to-end energy value chain. You will blend deep process expertise with Management Consulting (Strategy &amp; Operations Transformation) experience, an AI-solution mindset, and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.</p> <h3 data-path-to-node="7">The work you’ll do:</h3> <p data-path-to-node="8"><strong data-path-to-node="8" data-index-in-node="0">Identify &amp; Frame Value</strong></p> <ul> <li><strong>Translate Strategy to Operations:</strong> Analyze the client’s strategic priorities and map end-to-end energy operations (e.g., exploration and production, refining, or grid distribution) to AI-driven improvement use cases.</li> <li><strong>Target High-Impact Areas:</strong> Architect solutions that connect data across the value chain, focusing on critical energy operations like predictive maintenance workflows, supply chain optimization, outage reporting automation, and asset performance dashboards.</li> <li><strong>Build the Business Case:</strong> Construct robust, data-backed business cases by transforming operational and cost data into scored, visually ranked use cases with investment estimates and projected ROI.</li> <li><strong>Win Expansion:</strong> Build demos, develop value narratives and ROI frameworks, and present directly to C-level stakeholders across major energy firms to generate massive opportunity pipelines.</li> <li><strong>Assess Value:</strong> Undertake customer-facing value discovery and deliver proof-of-value projects for global Tier-1 energy and utility corporations.</li> </ul> <h3><strong>Realize Value</strong></h3> <ul> <li><strong>Drive Engagement Success:</strong> Lead the value workstream by designing and deploying AI-powered feedback agents capable of ingesting 10,000+ operational data points to surface recurring themes and friction points in the field or at the plant.</li> <li><strong>Orchestrate Improvement:</strong> Guide customers on how to use AI and automation to streamline complex operational workflows, from field service management to grid modernization.</li> <li><strong>Solve Systemic Challenges:</strong> Spearhead process redesigns by mapping current-state bottlenecks, embedding stringent HSE (Health, Safety, and Environmental) and regulatory compliance requirements, and automating the end-to-end workflow.</li> <li><strong>Facilitate Workshops:</strong> Facilitate workshops with C-suite and plant/department leads, scoring capabilities across multiple dimensions and benchmarking against industry peers.</li> <li><strong>Initiate Change:</strong> Conduct customer discovery, define success metrics and KPIs, and run successful pilots to onboard thousands of users across corporate and field locations.</li> <li><strong>Present Results:</strong> Present executive-ready business cases that convert engagements into new revenue.</li> </ul> <h3><strong>Scale Value</strong></h3> <ul> <li><strong>Codify Best Practices:</strong> Build client-facing tools that enable enterprise-wide teams to assess automation opportunities across disparate regional assets.</li> <li><strong>Mentor &amp; Enable:</strong> Act as a senior resource for the team, leveraging founder-level experience to design scalable operational processes and build performance dashboards to track financial and operational KPIs (e.g., asset uptime, yield optimization).</li> <li><strong>Product Feedback:</strong> Serve as a bridge between the customer and Product teams, reducing quarterly analysis times from days to hours and saving significant operational costs.</li> <li><strong>Manage the Journey:</strong> Lead end-to-end value discovery, business case development, and MVP delivery, securing C-suite approval for targeted operational efficiency improvements.</li> <li><strong>Build Roadmaps:</strong> Deliver multi-year, multi-billion dollar strategic transformation roadmaps to embed sustainable, capital-efficient optimization into the client's organization.</li> <li><strong>Drive Innovation:</strong> Provide feedback to our product development teams based on hands-on AI agent development, LLM/prompt engineering, and API integration experience.</li> </ul> <h3 data-path-to-node="14">The qualifications you need:</h3> <ul> <li><strong>Deep Industry Experience:</strong> 10 years in the Energy sector (Oil &amp; Gas, Power generation, or Utilities). Experience in Management Consulting (Strategy &amp; Operations Transformation) is required.</li> <li><strong>Domain Expertise:</strong> You possess granular knowledge of asset lifecycle management, upstream/downstream operations, grid modernization, and the broader energy value chain.</li> <li><strong>Growth Mindset:</strong> 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.</li> <li><strong>Value Realization Skills:</strong> You have a track record of identifying operational inefficiencies and driving them to resolution. You understand how to impact the P&amp;L and manage Capex/Opex through process improvement, AI integration, and scalable technology deployment.</li> <li><strong>Technical Fluency:</strong> Good knowledge of Business Software/SaaS applications and Enterprise Asset Management systems (e.g., SAP S/4HANA, IBM Maximo, AVEVA, GE Digital APM), and experience with data visualization, SQL, Python, or deploying LLMs/AI models is a strong plus.</li> <li><strong>Stakeholder Management:</strong> 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, from the boardroom to the control room.</li> <li><strong>Builder Mentality:</strong> 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.</li> <li><strong>Degree: B.S. or M.S. in Engineering (Petroleum, Mechanical, Electrical), Energy Management, Business Administration, Computer Science, or Industrial &amp; Operations Engineering. Additional certifications in Machine Learning, Artificial Intelligence, or Data Analytics are highly preferred.</strong></li> </ul> <p>Visa sponsorship is not offered for this role.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;For positions in New York City only: We offer a base salary range of xxx – xxx, based on a Full Time Schedule. \n\nTotal 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 locati