Senior Value Engineer

Celonis Celonis · Data AI · London, United Kingdom · Value Engineering

Celonis is seeking a Senior Value Engineer in London to drive customer transformation using their Process Intelligence Platform, which leverages AI. The role involves advising customers on AI strategy, building business cases and demos, and realizing value through process enhancement. The candidate will work with Fortune500 customers and collaborate with sales and product teams.

What you'd actually do

  1. Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  2. Advise organisations on how Celonis’ platform fits into their existing IT landscape and AI strategy
  3. Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers
  4. Use hands-on tech skills (SQL/Python) to build out (AI) prototypes to bring the Celonis platform to life for new audiences
  5. Communicate the value opportunity and strategic roadmap to C-Level executives.

Skills

Required

  • Hands-on SQL and/or Python skills
  • Experience in collaborating with IT teams
  • Experience developing dashboards and automations in tools like PowerBI or RPA
  • Knowledge of and experience with AI-powered solutions
  • Experience in an analytical role with the objective to demonstrate or secure value through business data analysis
  • Business process improvement and respective Software deployment
  • Customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting
  • Experience in identifying use cases for business process improvement and deploying improvement measures
  • Experience in planning and managing project scopes, expectations and timelines
  • Experience in preparing and communicating (value) roadmaps and results to stakeholders and management
  • Excellent communication and presentation skills in English
  • Understanding of the Finance and/or Supply Chain domain
  • Understanding of strategic transformation initiatives
  • Engineering, Computer Science, Mathematics, Business Analytics or a comparable technical degree

Nice to have

  • Experience in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy
  • Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise
  • Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals)

What the JD emphasized

  • AI strategy
  • AI prototypes
  • AI-powered solutions