Lead - Data Partnerships Business Development

Celonis Celonis · Data AI · Raleigh, NC +1 · Corporate

Lead role focused on building strategic partnerships within the Data and AI ecosystem, positioning Celonis as a core component for Enterprise AI solutions. The role involves identifying AI use cases, designing agentic solutions, managing OEM accounts, and acting as a liaison between partners and internal AI/Engineering/Product teams. Requires strong technical acumen in AI/Data stack and experience in enterprise software business development or AI/ML solution consulting.

What you'd actually do

  1. Architect the AI Ecosystem: Demonstrate how the Process Intelligence Graph provides the context for a partner’s AI and LLM applications.
  2. Drive AI-First Sales Cycles: Support leadership in driving complex, multi-stakeholder sales cycles with tier-one AI and software vendors (e.g., Databricks, Snowflake, Microsoft).
  3. Enable Agentic Workflows: Serve as the primary liaison to ensure our platform is optimized for agentic orchestration, ensuring OEM offerings are ready to power autonomous business actions.
  4. Co-Innovate Joint Solutions: Lead AI Value Workshops and develop business cases focused on the ROI of AI-enriched process automation.
  5. Drive AI Adoption: Manage the health of signed OEM accounts, identifying new generative and predictive AI use cases to ensure active adoption and platform stickiness.

Skills

Required

  • 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
  • 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

Nice to have

  • Experience with Process Mining technology

What the JD emphasized

  • essential 'context layer' for Enterprise AI
  • joint Agentic solutions
  • agentic orchestration
  • AI Value Workshops
  • generative and predictive AI use cases
  • AI/ML requirements
  • Agentic AI space
  • integration of LLMs
  • AI-driven transformation
  • AI/Data stack
  • LLMs
  • Vector Databases
  • AI agents
  • AI value proposition
  • AI or Data infrastructure space

Other signals

  • Owns end-to-end partnership lifecycle for strategic Data & AI partners
  • Positions Celonis as the essential 'context layer' for Enterprise AI
  • Identifies high-impact AI use cases, designs joint Agentic solutions
  • Manages OEM accounts to ensure Celonis is the engine behind their intelligent automation
  • Serves as the connective tissue between partners and Celonis Applied AI, Engineering, and Product teams