Primary record

VP, Product Management, Data Sources

Celonis Indexed employerNew York, US, New York
Source-hosted applyChecked 1h agoVolunteer
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Workplace

hybrid

Employment

Volunteer

Published

Aug 11, 2026

Closes

No date supplied

The role

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

VP, Product Management, Data Core

The Role

As part of the Product Management organization, we develop the platform that drives the next generation of enterprise intelligence and process improvement. Our platform enables practitioners to better understand the complex processes that define their enterprise and the tools to improve efficiency and consistency.

We are looking for a visionary and execution-focused leader to define and evolve the Data Core capabilities of the Celonis platform. This includes the data ingestion, storage, processing, and modeling infrastructure that powers Celonis' process mining and intelligence products at scale. Success requires a deep understanding of enterprise data needs, modern data architecture, and the ability to collaborate across a wide range of stakeholders to deliver high-impact, scalable data solutions.

The Work You'll Do

• Develop and lead a high-performing team of product managers with excellent recruiting, coaching, and development skills

• Define a clear vision and strategy for Celonis' core data capabilities — including data ingestion, transformation, st

Requirements

Department: Product