# Lead Value Engineer - Energy

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** New York, NY
**Role:** Sales Engineering
**Salary:** $157k – $184k/yr
**Experience:** 10+ years
**Skills:** Process Mining, AI, Process Intelligence, SQL, Python, Sap S/4Hana, Ibm Maximo, Aveva, Ge Digital Apm, LLMs, Machine Learning, Data Visualization, ROI Analysis, Prompt Engineering, API Integrations
**Posted:** 2026-05-11

> Leads value engineering for energy clients by architecting AI-driven solutions, building data-backed business cases with ROI projections, and driving SaaS adoption across operations. Requires 10+ years in energy sector (Oil & Gas/Utilities), management consulting experience, and technical fluency in SaaS/EAM systems.

## Job Description

## Responsibilities

### Identify & Frame Value
- Translate Strategy to Operations: 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.
- Target High-Impact Areas: 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.
- Build the Business Case: Construct robust, data-backed business cases by transforming operational and cost data into scored, visually ranked use cases with investment estimates and projected ROI.
- Win Expansion: Build demos, develop value narratives and ROI frameworks, and present directly to C-level stakeholders across major energy firms to generate massive opportunity pipelines.
- Assess Value: Undertake customer-facing value discovery and deliver proof-of-value projects for global Tier-1 energy and utility corporations.

### Realize Value
- Drive Engagement Success: 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.
- Orchestrate Improvement: Guide customers on how to use AI and automation to streamline complex operational workflows, from field service management to grid modernization.
- Solve Systemic Challenges: 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.
- Facilitate Workshops: Facilitate workshops with C-suite and plant/department leads, scoring capabilities across multiple dimensions and benchmarking against industry peers.
- Initiate Change: Conduct customer discovery, define success metrics and KPIs, and run successful pilots to onboard thousands of users across corporate and field locations.
- Present Results: Present executive-ready business cases that convert engagements into new revenue.

### Scale Value
- Codify Best Practices: Build client-facing tools that enable enterprise-wide teams to assess automation opportunities across disparate regional assets.
- Mentor & Enable: 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).
- Product Feedback: Serve as a bridge between the customer and Product teams, reducing quarterly analysis times from days to hours and saving significant operational costs.
- Manage the Journey: Lead end-to-end value discovery, business case development, and MVP delivery, securing C-suite approval for targeted operational efficiency improvements.
- Build Roadmaps: Deliver multi-year, multi-billion dollar strategic transformation roadmaps to embed sustainable, capital-efficient optimization into the client's organization.
- Drive Innovation: Provide feedback to our product development teams based on hands-on AI agent development, LLM/prompt engineering, and API integration experience.

## Qualifications
- **Deep Industry Experience**: 10 years in the Energy sector (Oil & Gas, Power generation, or Utilities). Experience in Management Consulting (Strategy & Operations Transformation) is required.
- **Domain Expertise**: Granular knowledge of asset lifecycle management, upstream/downstream operations, grid modernization, and the broader energy value chain.
- **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**: Track record of identifying operational inefficiencies and driving them to resolution. Understand how to impact the P&L and manage Capex/Opex through process improvement, AI integration, and scalable technology deployment.
- **Technical Fluency**: 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.
- **Stakeholder Management**: Experience presenting to and working with senior stakeholders. Navigate complex internal structures and clearly communicate SaaS value and complex AI concepts to non-technical audiences.
- **Builder Mentality**: Comfortable working with ambiguity, adapting to a rapidly evolving AI landscape, and setting your own direction within an account team.
- **Degree**: B.S. or M.S. in Engineering (Petroleum, Mechanical, Electrical), Energy Management, Business Administration, Computer Science, or Industrial & Operations Engineering. Additional certifications in **Machine Learning**, **Artificial Intelligence**, or **Data Analytics** are highly preferred.

## Compensation
Base salary range: **$157,000—$184,000 USD** (New York). Total compensation includes base salary + bonus/commission + equity + benefits (health, dental, life, 401k, paid time off).

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