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Celonis is the global leader in Process Intelligence and Process Mining technology. As a Client Value Partner for Pharmaceuticals, you will be a strategic leader responsible for driving customer success and business transformation with Celonis' most important pharmaceutical industry clients.
You will serve as the trusted advisor and accountable program lead for strategic customer engagements, reporting directly into the Value Engineering organization. Your primary responsibilities include:
**Customer Leadership & Relationships**: Develop and maintain deep relationships with C-level executives at key pharmaceutical accounts. Embed Celonis into their strategic objectives and long-term business vision. Act as the primary point of contact and trusted advisor for transformational initiatives.
**Program Management & Delivery**: Own the end-to-end customer value journey from initial engagement through value realization. Ensure programs are properly staffed with cross-functional Celonis teams (Servicing, Product, Engineering). Drive measurable business impact across processes, accelerate platform adoption, and resolve escalations efficiently.
**Organizational Impact**: Mentor customers on organizational design and Centers of Excellence maturation. Coach and mentor Celonis team members, providing feedback to managers on performance. Guide customers through change management and transformation best practices.
**Industry Leadership & Advocacy**: Organize and lead customer advisory boards addressing pharmaceutical-specific challenges. Serve as the voice of the customer internally, ensuring product and service alignment with industry needs. Drive customer presence at industry events and conferences through thought leadership and sponsorships. Collaborate on innovation and playbook development for the broader value engineering team.
You will require a minimum of 10 years in customer success, strategy consulting, or related roles within pharmaceuticals. You must have proven experience leading large-scale transformation programs, process re-engineering, and implementations. Deep change management expertise, ability to navigate complex global organizations, and experience with AI-based transformation are essential. Strong executive communication, analytical skills, and industry domain expertise are critical to success.
