Lead Deployment Engineer - Public Sector - Federal

The Work You’ll Do

Initiate and Connect

Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases
Collaborate with the customer’s 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 if required
Build & Value

Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer
Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot
Lead value creation workshops and define measures to improve process inefficiencies
Define and build KPIs measuring the customer’s success and quantify business impact
Design and build operational solutions to drive value, adoption and improve process conformance
Rollout, Adoption, and Handover

Enable key customer users to use and extend the solution independently, setting the foundation for long-term adoption
Manage project outcomes against timelines, scope, and customer expectations
Train and demonstrate to customer users, guiding them on the path to sustained value
Document solution design decisions and configurations for future reference and handoff
Domain & Industry Depth

Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals
Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage
Proactively identify and standardize high-value use cases within your domain, collaborating with Product and Business Apps teams to shape the platform roadmap
What Makes This Role Different in the AI Era

You work with AI agents as your primary tools - your job is to direct, validate, and refine their output, not to write every line of code or build every analysis manually
You need strong specification and context engineering skills - the ability to translate a customer’s ambiguous business need into a precise instruction that an AI agent can execute correctly
You are expected to continuously learn and adapt as AI capabilities evolve, experimenting with new approaches and sharing what works with your peers
You balance speed with quality - AI accelerates execution, but you own the judgment calls on whether the output is right for this customer
You think in sustainable software solutions. While AI agents will generate first results quickly, you need to ensure that the operational solutions you build in Celonis are robust, user friendly, maintainable, and scalable
The Qualifications You Need

Experience: 7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators.
Platform skills: Ability to build and configure solutions on the Celonis platform, including data modeling, process analysis, KPI definition, and automation. Proficiency in PQL, SQL, and Python.
AI fluency: Comfort working with AI-assisted development tools (e.g., Claude Code, Codex, Cursor, etc.). Ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively. Experience with prompt engineering or context engineering is a strong plus.
Business and process domain expertise : Strong understanding /deep expertise (based on seniority level) of enterprise business processes and financial metrics. Knowledge of standard ERPs (SAP, Oracle) and process areas (Inventory Management, Order to Cash, Procure to Pay, Accounts Payable) is a strong plus.
Consulting skills: Ability to steer customer workshops, present findings to management, manage stakeholder expectations, and deliver outcomes in the face of adversity and ambiguity. Comfortable working with both technical and business audiences.
Analytical mindset: Excellent problem-solving skills with a value-driven orientation. Ability to translate business requirements into technical solutions and quantify business impact.
Learning agility: Willingness to continuously develop expertise through experimentation. Comfort with ambiguity and evolving tools.
Education: Bachelor’s or Master’s in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field.
Languages: Fluency in English required. Additional languages are a plus.
Travel: Willingness to travel to customer location up to 50%, according to customer requirement and project delivery phases.
The base salary range below is for the role in the specified location, based on a Full Time Schedule.
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.

The base salary range below is for the role in Washington, D.C. based on a Full Time Schedule.
$162,000—$191,000 USD