Strategic Value & Process Optimisation Consultant

Celonis Celonis · Data AI · Madrid, Spain · Value Engineering

This role focuses on driving business transformation for enterprise clients using Celonis' AI Process Intelligent Platform. The consultant will partner with sales teams to identify and frame AI and process-mining use cases, build business cases and demos, and oversee the implementation and adoption of AI-driven solutions, including generative AI techniques like RAG and multi-agent orchestration. The role also involves scaling value within accounts and ensuring alignment with C-level executives.

What you'd actually do

  1. Identify & Frame Value (Win Accounts): Work closely with the Sales team to define the account strategy and pitch corporate prospects. Translate high-level business needs across key sectors (Manufacturing, Retail, Finance, Supply Chain) into critical AI and process-mining use cases, building the tailored business cases, technical demos, and Proof-of-Value projects needed to win new accounts.
  2. Realize Value (Execute & Deliver Impact): Govern and drive the execution of the business-critical implementation plan defined in the framing stage. Collaborate directly with delivery teams and the customer’s in-house services to ensure solutions (leveraging SaaS, Python, or generative AI) are effectively deployed, tracking and unlocking maximum operational value and ROI for senior leadership.
  3. Scale Value (Grow Accounts): Drive account growth, adoption, and renewals by embedding Celonis as a strategic transformation platform. Oversee multidisciplinary account teams to manage project scopes and timelines, aligning continuously with Sales to identify expansion roadmaps and effectively communicate results directly to C-level executives. Ensure CIO and C-level business alignment and sponsorship.

Skills

Required

  • Native-level Spanish proficiency
  • +4 years of experience leading technical pre-sales, delivery projects
  • defining AI roadmaps
  • building compelling ROI/TCO critical business cases
  • prototyping of machine learning and generative AI solutions
  • ensuring health and expansion within the customer journey
  • Domain/Industry Expertise (Supply Chain, Finance)
  • translate high-level business needs into specific business critical AI use cases
  • Fundamentals of data scientist
  • understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
  • Knowledge of Business Software / SaaS applications
  • experience with implementing RPA and/or BI Tools and/or building Dashboards
  • Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch)
  • data engineering tools and technologies
  • SQL
  • Experience in identifying and projecting value use cases and operative impact for business improvement
  • deploying ways of measurement results ensuring ROI
  • planning and managing project scopes, expectations and timelines
  • preparing and communicating roadmaps and results to stakeholders and c-level

Nice to have

  • experience of business domains (Supply Chain is highly important, Finance, others…) and processes across sectors (Manufacturing, Consumer, Retail, Services and Resources)
  • Experience in identifying and projecting value use cases and operative impact for business improvement in the different domains and deploying ways of measurement results ensuring ROI.
  • Project and Executive Stakeholder Management: Experience in planning and managing project scopes, expectations and timelines is a plus.
  • Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, or equivalent work experience preferred.

What the JD emphasized

  • critical AI and process-mining use cases
  • critical business cases
  • generative AI solutions
  • AI, Data, Analytics
  • generative AI techniques
  • business critical AI use cases
  • AI roadmaps

Other signals

  • AI Process Intelligent Platform
  • AI and process-mining use cases
  • generative AI solutions
  • AI, Data, Analytics
  • generative AI techniques