SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Celonis is the global leader in Process Intelligence and Process Mining technology, serving as one of the world's fastest-growing enterprise SaaS companies. The Client Value Partner (CVP) role is a strategic position within the Value Engineering team, focused on driving customer success and business transformation for Celonis' most strategic CPG (Consumer Packaged Goods) clients.
As CVP, you will serve as the accountable lead and trusted advisor for strategic customer accounts, engaging directly with C-level executives to define long-term vision and drive measurable business impact. You will lead cross-functional Celonis teams—including Servicing, Product, and Engineering—to ensure customer success and accelerate platform adoption.
Key responsibilities include:
**Accountable Program Lead & Engagement Manager**: Develop and maintain strong relationships with C-level stakeholders, ensure engagements are properly staffed with global Celonis resources, mentor customers on organizational design and Centers of Excellence maturation, and coach team members on their success.
**Driving Customer Value**: Own the end-to-end customer value journey, influence key stakeholders through executive communication and industry expertise, establish program roadmaps and value plans with senior stakeholders, resolve escalations efficiently, align Celonis delivery to customer strategy, and drive value realization and adoption metrics.
**Community Builder & Customer Advocacy**: Organize and lead customer advisory boards addressing industry-specific challenges, act as the voice of the customer internally, drive customer presence at Celonis and industry events, and collaborate on innovation and playbook development.
You will require a minimum of 10 years of relevant experience in customer success, strategy consulting, or related roles within the CPG industry. Strong experience driving large-scale transformation programs, process re-engineering engagements, and implementations is essential. Experience with AI-based transformation is a plus. You must demonstrate deep change management expertise, ability to navigate large global organizations, and persuasive communication skills grounded in data and confidence.