Lead Deployment Engineer

Celonis
Madrid
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 7+ yearsEducation: bachelorsSkills: ["Specification","Context engineering","Problem-solving","Stakeholder management","Learning agility"]

Lead the hands-on implementation of Celonis solutions for enterprise customers, combining deep platform expertise with AI-augmented delivery. Run discovery workshops, align on scope and success criteria, and ensure data connectivity. Direct AI deployment agents to build data models, process analyses, KPIs, and dashboards, then validate outputs for accuracy and business relevance. Manage rollout, enable adoption, and document solution decisions while driving measurable customer value.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Celonis
Celonis
1 month ago

Lead Deployment Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the hands-on implementation of Celonis solutions for enterprise customers, combining deep platform expertise with AI-augmented delivery. Run discovery workshops, align on scope and success criteria, and ensure data connectivity. Direct AI deployment agents to build data models, process analyses, KPIs, and dashboards, then validate outputs for accuracy and business relevance. Manage rollout, enable adoption, and document solution decisions while driving measurable customer value.
Location: Madrid
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Conduct business discovery workshops and collaborate with IT and business stakeholders to define scope, data requirements, and success criteria.
  • •Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards, writing clear specifications and validating results.
  • •Build and configure Celonis solutions across the platform, including data transformations, process analysis, operational solutions, and AI-powered insights.
  • •Identify process inefficiencies and root causes using Celonis technology, and validate AI outputs for accuracy and business relevance.
  • •Lead rollout, adoption, and handover by enabling users, managing project outcomes to timelines/scope, training users, and documenting design decisions.
Travel: High travel

Pay and Benefits

Perks:RsusParental LeavePaid LeaveHybrid WorkLearning BudgetHealth Insurance

Key Requirements

  • •7+ years in management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators.
  • •Ability to build and configure Celonis platform solutions, including data modeling, process analysis, KPI definition, and automation (PQL, SQL, Python).
  • •Comfort working with AI-assisted development tools (e.g., Claude Code, Codex, Cursor) and experience with prompt or context engineering.
  • •Strong knowledge of enterprise business processes and financial metrics, including familiarity with ERPs like SAP or Oracle.
  • •Ability to steer customer workshops, present findings to management, manage stakeholders, and deliver outcomes in ambiguity.
Experience:7+ yearsProcess improvementEnterprise consultingProcess miningSaaS
Education:Bachelor's
Skills:SpecificationContext engineeringProblem-solvingStakeholder managementLearning agility
Languages:English
Tech Stack:CelonisProcess Intelligence GraphPQLSQLPythonApolloClaude CodeCodexCursorData modelingKPIsDashboardsAutomation

Company Brief

Celonis
Provides cloud-based process mining and execution management software that helps organizations visualize, analyze, and optimize business processes to improve efficiency, reduce costs, and accelerate operational transformation across enterprise systems.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 2011
WebsiteLinkedIn