Lead Deployment Engineer
Leads AI-augmented implementation of Celonis solutions for federal and public-sector customers, translating business needs into data models, analyses, KPIs, and operational solutions. Requires 7+ years of consulting or process-improvement experience, Celonis, PQL, SQL, Python, enterprise process expertise, and strong customer-facing skills.
$162k – $191k/yr
Remote7+ YOESolutions Architecture
About the job
Responsibilities
Initiate and Connect
- Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases.
- Collaborate with customer IT and business stakeholders to define project scope, data requirements, and success criteria.
- Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources when required.
Build and Create Value
- Direct AI deployment agents to build data models, process analyses, KPIs, and dashboards; write clear specifications and validate outputs against business requirements.
- Build and configure Celonis solutions across the platform, including the Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights.
- Identify process inefficiencies and root causes in collaboration with customers.
- Validate AI-generated outputs for accuracy, business relevance, and customer-context alignment.
- Lead value-creation workshops and define measures to improve process inefficiencies.
- Define and build KPIs to measure customer success and quantify business impact.
- Design and build operational solutions to drive value, adoption, and process conformance.
Rollout, Adoption, and Handover
- Enable key customer users to use and extend solutions independently.
- Manage project outcomes against timelines, scope, and customer expectations.
- Train and demonstrate solutions to customer users.
- Document solution design decisions and configurations for future reference and handoff.
Domain and Industry Expertise
- Develop and maintain expertise in process domains such as Supply Chain, Order to Cash, Procure to Pay, and IT Service Management, or in industry verticals.
- Translate domain knowledge into scalable solution patterns, reference architectures, and best practices.
- Identify and standardize high-value use cases while collaborating with Product and Business Apps teams to shape the platform roadmap.
AI-Augmented Delivery
- Direct, validate, and refine AI-agent output rather than manually building every analysis or line of code.
- Translate ambiguous business needs into precise instructions that AI agents can execute.
- Experiment with evolving AI capabilities and share effective approaches with peers.
- Balance delivery speed with solution quality, maintainability, usability, and scalability.
Requirements
- 7+ years of experience in management or IT consulting, data or solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators.
- Ability to build and configure Celonis solutions, including data modeling, process analysis, KPI definition, and automation.
- Proficiency in PQL, SQL, and Python.
- Comfort working with AI-assisted development tools such as Claude Code, Codex, or Cursor.
- Ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively.
- Strong understanding or deep expertise in enterprise business processes and financial metrics.
- Knowledge of standard ERP systems such as SAP or Oracle and process areas including Inventory Management, Order to Cash, Procure to Pay, and Accounts Payable is a plus.
- Strong consulting, workshop facilitation, presentation, stakeholder-management, and expectation-management skills.
- Ability to translate business requirements into technical solutions and quantify business impact.
- Comfort with ambiguity, experimentation, and continuous learning.
- Bachelor’s or Master’s degree in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field.
- Fluency in English; additional languages are a plus.
- Willingness to travel to customer locations up to 50% based on customer requirements and project delivery phases.
Compensation and Benefits
- Base salary range of $162,000–$191,000 for a full-time schedule in the specified location.
- Total compensation includes base salary, bonus or commission, equity, and benefits including health, dental, life insurance, 401(k), and paid time off.
Skills
CelonisPqlSQLPythonProcess Intelligence GraphData ModelingProcess AnalysisKpi DefinitionAutomationSAPOraclePrompt EngineeringClaude CodeCodexCursor