Lead Value Engineer - Financial Services

Celonis Celonis · Data AI · New York, NY · Value Engineering

Lead Value Engineer for Financial Services at Celonis, focusing on building data-driven business cases backed by AI and automation solutions for major banking clients. The role involves translating strategy to operations, architecting solutions, building business cases with ROI, driving customer engagement success with AI-powered feedback agents, and providing product feedback based on AI agent development and LLM/prompt engineering experience.

What you'd actually do

  1. Translate Strategy to Operations: Analyze the client’s strategic priorities and map end-to-end banking processes to AI-driven improvement use cases.
  2. Drive Engagement Success: Lead the value workstream by designing and deploying AI-powered feedback agents capable of ingesting 10,000+ customer data points to surface recurring themes and friction points.
  3. Build the Business Case: Construct robust, data-backed business cases by transforming process and cost data into scored, visually ranked use cases with investment estimates and projected ROI.
  4. Provide Feedback to our product development teams based on hands-on AI agent development, LLM/prompt engineering, and API integration experience.
  5. Architect solutions that connect data across the value chain, focusing on critical banking operations like reporting automation, access control entitlements review workflows, and analytics dashboards.

Skills

Required

  • 10 years in banking and financial services
  • Management Consulting (Strategy & Operations Transformation) experience
  • Granular knowledge of capital markets, self-directed investing, and front-to-back banking processes
  • Track record of identifying operational inefficiencies and driving them to resolution
  • Understanding of how to impact the P&L through process improvement, AI integration, and scalable technology deployment
  • Experience with AI agent development
  • Experience with LLM/prompt engineering
  • API integration experience

Nice to have

  • AI-solution mindset
  • strong analytical skills

What the JD emphasized

  • AI integration
  • AI agent development
  • LLM/prompt engineering

Other signals

  • AI-driven improvement use cases
  • AI-powered feedback agents
  • AI agent development
  • LLM/prompt engineering