Lead - Data Partnerships Business Development

Celonis•New York, NY

13d•$135,000 - $160,000•Hybrid

About The Position

Celonis is seeking a Lead - Data Partnerships Business Development to own the end-to-end partnership lifecycle for their most strategic Data partners. The mission is to position Celonis as the essential "context layer" for Enterprise AI. This role involves identifying high-impact AI use cases, designing joint Agentic solutions, and managing OEM accounts to ensure Celonis is the engine behind their intelligent automation. The individual will serve as the connective tissue between partners and Celonis' Applied AI, Engineering, and Product teams.

Requirements

4–6+ years of experience in Enterprise Software, Business Development, or AI/ML Solution Consulting.
Proven ability to build business cases for AI-driven transformation and negotiate complex commercial frameworks.
Strong technical acumen in the AI/Data stack (e.g., understanding of LLMs, Vector Databases, and how Process Intelligence integrates with AI agents).
Ability to translate complex process data into a compelling AI value proposition for executive-level stakeholders.
Track record of navigating first-of-their-kind sales cycles in the AI or Data infrastructure space.
Bachelor's degree in Business, Engineering, Computer Science, or a related field.

Responsibilities

Architect the AI Ecosystem by demonstrating how the Process Intelligence Graph provides context for a partner’s AI and LLM applications.
Drive AI-First Sales Cycles by supporting leadership in complex, multi-stakeholder sales cycles with tier-one software vendors.
Enable Agentic Workflows by serving as the primary liaison to ensure the platform is optimized for agentic orchestration and OEM offerings are ready to power autonomous business actions.
Co-Innovate Joint Solutions by leading AI Value Workshops and developing business cases focused on the ROI of AI-enriched process automation.
Drive AI Adoption by managing the health of signed OEM accounts and identifying new generative and predictive AI use cases.
Shape the AI Roadmap by capturing partner feedback on AI/ML requirements to inform the Celonis product roadmap.
Validate Technical Feasibility by collaborating with Applied AI Engineering to validate the integration of LLMs and the deployment of zero-copy data strategies.