Are you a business outcome-driven transformation leader with 15+ years of experience designing and operationalizing large-scale cloud, edge, and AI platforms? We are looking for a Lead Value Engineer to bridge the gap between business and technology for top-tier power, gas, and renewable energy accounts.
You will act as a senior technical advisor to C-suite executives (COO, CTO, CFO, Chief Sustainability Officer), guiding teams from prototype to production at a global scale. By combining Process Intelligence software (Celonis) with cutting-edge Edge AI and cloud technologies, you will map strategic goals to a long-term vision, deploy Process Mining Centers of Excellence, and architect large-scale transformational programs for critical infrastructure clients.
• Deep Industry Experience: 15+ years of relevant experience designing and operationalizing massive-scale distributed platforms. You possess a proven track record delivering highly reliable, edge-scale IoT and data solutions for massive enterprise footprints (e.g., driving cross-industry innovation from giants like Walmart and Tyson directly into large-scale industrial or utility operations).
• Consulting Leadership: Proven progression in technology strategy, with experience serving as a Consultant, Senior Consultant, Manager, Director of Process Intelligence, or Vice President of Technology.
• Value Realization Skills: You have a track record of driving large-scale transformation programs. You understand how to impact the operational baseline through asset optimization, predictive maintenance, logistics efficiency, and cash flow improvement.
• Domain Expertise: Demonstrated experience managing multi-year deployments for massive enterprise clients, coupled with a deep understanding of capital project procurement, work order management, and accounts payable.
• Technical Fluency: You understand the modern enterprise stack (SAP S/4HANA, Oracle, IBM Maximo, ADMS/SCADA systems) and how to translate Celonis use cases into the customer's specific business landscape. Extensive hands-on experience utilizing Azure AI Foundry, LLMs, Python, and SQL.
• Stakeholder Management: Exceptional stakeholder management skills, with proven experience working closely with application owners, server owners, managed service providers, and business leadership.
• Education: MBA strongly preferred. Degree in Business, Industrial Engineering, Electrical Engineering, or a Master of Computer Information Systems (MCIS) / Bachelor of Information Systems (BIS) is required.