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Celonis

Process intelligence platform for end-to-end efficiency

Senior Value Engineer - Public Sector

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Good knowledge of business software or SaaS applications, such as SAP.
  • Hands-on SQL and/or Python skills.
  • Experience collaborating with IT teams.
  • Experience developing dashboards and automations using tools such as Power BI or robotic process automation (RPA).
  • Knowledge of and experience with AI-powered solutions.
  • Experience in an analytical role demonstrating or securing value through business data analysis, business process improvement, and software deployment. Ideally, this experience is in a customer-facing role in solution consulting, sales engineering, IT consulting, or management consulting with a business software or SaaS provider or consultancy, or in an in-house enterprise center of excellence for data mining, analytics, or intelligence.
  • Experience identifying business process improvement use cases and deploying improvement measures, acting as a change agent, and training users or process owners to realize value.
  • Experience planning and managing project scopes, expectations, and timelines, including multiple projects across aligned accounts at different stages of the customer value journey and leveraging ecosystem partners where possible.
  • Experience preparing and communicating value roadmaps and results to internal and external stakeholders and management.
  • Excellent communication and presentation skills in English, with a confident professional presence.
  • Understanding of the Finance and/or Supply Chain domain and strategic transformation initiatives, such as shared services transformation or system transformation.
  • Ideally, expertise in one or more industries, such as manufacturing, automotive, consumer, retail, pharmaceuticals, or chemicals, and the ability to develop a deep understanding of industry trends and strategic opportunities.
  • A degree in Engineering, Computer Science, Mathematics, Business Analytics, or a comparable technical degree.

Responsibilities

  • Discover and translate customers’ strategic priorities into high-impact Celonis use cases.
  • Advise organizations on how the Celonis platform fits into their existing IT landscape and AI strategy.
  • Build demos and business cases using industry benchmarks and best practices to win new customers.
  • Use hands-on SQL and/or Python skills to build AI prototypes that demonstrate the Celonis platform to new audiences.
  • Communicate the value opportunity and strategic roadmap to C-level executives.
  • Facilitate business value workshops and use Celonis to identify and qualify process-enhancement opportunities.
  • Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
  • Present results and realized value to senior management and C-level executives.
  • Own the end-to-end customer value journey, including landing, expanding, adoption, and renewal.
  • Build a strategic expansion roadmap that embeds Celonis Process Intelligence as a strategic business transformation platform within customer organizations and drives adoption and expansion.
  • Provide feedback to product development teams to enhance the Celonis platform and apps based on new use cases.

Desired Qualifications

  • Ideally, have customer-facing experience in solution consulting, sales engineering, or IT/management consulting with a business software or SaaS provider or consultancy, or an in-house enterprise center of excellence for data mining, analytics, or intelligence.
  • Ideally, have expertise in one or more of manufacturing, automotive, consumer, retail, pharmaceuticals, or chemicals, and be able to develop a deep understanding of industry trends and strategic opportunities.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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