Lead Deployment Architect

Solution Architecture & Design

• Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposed.
• Design end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies.
• Define the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goals.
• Design secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency.
• Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomes.
• Own solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standards.

AI Orchestration & Delivery Innovation

• Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates.
• Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively.
• Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical.
• Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates.

Customer Strategy & Advisory

• Serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders.
• Translate customer business challenges into Celonis platform strategies, identifying high-impact use cases and defining success metrics.
• Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope.
• Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change.
• Leverage the broader ecosystem of Celonis experts to remove potential blockers in customer engagements.
• Establish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment.

Successful Implementation

• Work together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customers.
• Stay on top of the newest technologies Celonis has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & Engineering.
• Review Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use cases.

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 in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap.

Practice Development

• Work in close collaboration with Deployment Engineers, to provide technical guidance, to conduct code and design reviews, and to help them develop toward senior roles.
• Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments.
• Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership.
• Ensure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmap.

Qualifications

• 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators.
• At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.).
• Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI.
• Deep expertise in one or more process domains (Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals.
• Experience with AI-augmented delivery, agentic workflows, and orchestrating AI agents at scale.
• Strong stakeholder management skills, including presenting to C-suite and building trusted advisor relationships.
• Platform mastery of Celonis or equivalent Process Mining / Process Intelligence platforms (preferred).
• Experience bridging pre-sales and post-sales delivery.