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Senior Management & Technology Consultant - AI & Process Analytics

Job Overview

Location

Madrid, Spain

Job Type

Full-time

Category

Management

Date Posted

June 18, 2026

Full Job Description

đź“‹ Description

  • • As a Senior Management & Technology Consultant - AI & Process Analytics (Value Engineer) at Celonis, you will spearhead data-driven business transformation by helping customers unlock value through the Celonis Process Intelligence Platform, working closely with sales and delivery teams to identify, execute, and scale AI-powered process improvements across industries.
  • • Day to day, you will identify and frame value by collaborating with sales to define account strategies, translate business needs into AI and process-mining use cases, and build tailored business cases, demos, and Proof-of-Value projects; you will then govern execution of implementation plans, ensuring solutions leveraging SaaS, Python, or generative AI deliver measurable ROI; finally, you will drive account growth by embedding Celonis as a strategic platform, managing multidisciplinary teams, aligning with sales on expansion roadmaps, and communicating results to C-level executives.
  • • Celonis is the global leader in Process Intelligence and pioneer of Process Mining technology, one of the world’s fastest-growing enterprise SaaS companies, headquartered in Munich and New York with over 20 offices worldwide, dedicated to unlocking global productivity and sustainability by placing intelligence at the core of every business process.
  • • In this role, you will deepen your expertise in AI, process analytics, and enterprise transformation, develop executive-level stakeholder management skills, lead high-impact customer initiatives, and contribute to a mission-driven culture that values innovation, ownership, and sustainability while advancing your career at a forefront technology company.

🎯 Requirements

  • • +4 years of experience leading technical pre-sales, delivery projects, including defining AI roadmaps, building compelling ROI/TCO critical business cases and prototyping of machine learning and generative AI solutions
  • • Domain/Industry Expertise: experience of business domains (Supply Chain is highly important, Finance, others…) and processes across sectors (Manufacturing, Consumer, Retail, Services and Resources) with the ability to translate high-level business needs into specific business critical AI use cases
  • • Knowledge of one of followings: Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies. SQL is a must.
  • • Excellence in preparing and communicating roadmaps and results to stakeholders and c-level, both internally and externally
  • • Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, or equivalent work experience preferred

🏖️ Benefits

  • • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations
  • • Ownership from Day 1: Every full-time 'Celonaut' is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants
  • • Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment
  • • Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration
  • • Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform

Skills & Technologies

Python
PyTorch
Pandas
Scikit-learn
Senior
Remote

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About Celonis SE

Celonis SE offers a process mining platform that extracts data from enterprise systems such as SAP, Oracle, and Salesforce to visualize, analyze, and optimize business processes in real time. Its Execution Management System applies machine learning and automation to reveal inefficiencies, reduce costs, and improve compliance across finance, supply chain, customer service, and IT operations. Founded in 2011 and headquartered in Munich, Germany, the company serves Fortune 500 organizations worldwide through cloud and on-premise deployments.

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