# Lead Deployment Architect

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** New York, NY
**Role:** Solutions Architecture
**Salary:** $162k – $191k/yr
**Experience:** 8+ years
**Skills:** Solutions Architecture, ai orchestration, process mining, process intelligence, data integration, AI Agents, celonis platform, pre-sales support, Stakeholder Management, domain expertise, supply chain, order to cash, procure to pay
**Posted:** 2026-07-17

> Lead technical authority designing and delivering complex Celonis Process Intelligence solutions with heavy AI and agentic workflow components for strategic enterprise customers. Requires 8+ years in solution architecture or technical consulting, deep platform and domain expertise, and the ability to advise C-level stakeholders while setting practice-wide standards.

## Job Description

## 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.

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