Lead Deployment Engineer
Celonis (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead hands-on implementation of Celonis solutions for enterprise customers, driving solution go-live, adoption, and measurable business impact.
- Direct AI deployment agents to build data models, process analyses, KPIs, dashboards, and operational solutions, validating outputs for accuracy and business relevance.
- Conduct discovery and value workshops; manage project scope, data connectivity, timelines, and customer training for sustainable solution handover.
Minimum Requirements
- Minimum 8+ years in management or IT consulting, data/solution consulting, or process improvement consulting with software vendors, consulting firms, or system integrators.
- Proficiency in Celonis platform configuration including data modeling, process analysis, KPI definition; skilled in PQL, SQL, and Python.
- Experience working with AI-assisted development tools and ability to write clear technical specifications to guide AI outputs.
- Willingness to travel up to 50%; Bachelor’s or Master’s degree in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or related field.
Ideal Candidate Profile
- Experienced in bridging business objectives and technical execution, capable of translating ambiguous strategic needs into precise AI-driven specifications.
- Has strong domain knowledge in enterprise business processes (e.g., Supply Chain, Order to Cash, Procure to Pay) and experience with standard ERPs like SAP or Oracle.
- Operates effectively in AI-augmented delivery environments, balancing speed with quality and ensuring solutions are robust, scalable, and user-friendly.