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Celonis

Process intelligence platform for end-to-end efficiency

Lead Value Engineer - Asset & Wealth Management

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 7–10 years of experience navigating unstructured enterprise problems, with a background bridging institutional financial services and business strategy.
  • Have a career trajectory involving risk management, capital markets, or retail/commercial banking operations followed by management consulting, strategy, or SaaS value engineering; or an MBB, Big Four, or elite tech consultancy background followed by specialization in retail banking, commercial banking, or FinTech.
  • Have a proven track record in consultative value-selling, value engineering, or account strategy for enterprise SaaS digital transformations.
  • Have a functional understanding of generative AI, process mining, and their intersection with enterprise financial systems and core banking platforms such as FIS, Fiserv, Temenos, or SAP Banking.
  • Have deep knowledge in at least two areas across credit risk and underwriting, wealth management/advisory, payments and clearing, capital markets, asset/liability management, or KYC/AML operations.
  • Have a strong grasp of financial-services risk-management frameworks, internal controls, and regulatory mandates such as Dodd-Frank, Basel III/IV, SEC, FINRA, and CFPB.
  • Have a B.S. or M.S. in Finance, Economics, Financial Engineering, Computer Science, Data Science, or Business Administration.

Responsibilities

  • Architect and drive large-scale AI- and data-driven business transformation across the NAM market using the Celonis Context Model.
  • Support complex roadmaps and execute targeted transformation initiatives to improve how financial businesses operate across their ecosystems.
  • Own customer success and drive SaaS and AI adoption across global financial institutions and regional banking enterprise accounts.
  • Translate complex financial and operational needs into technical strategy for C-suite stakeholders.
  • Translate executive banking priorities into AI use cases, including intelligent credit underwriting, automated fraud mitigation, and personalized wealth advisory, and develop value realization frameworks.
  • Architect scalable, end-to-end data flows to resolve operational bottlenecks across core banking platforms, payment rails, and loan-origination pipelines.
  • Build data-backed business cases for OPEX savings, risk reduction, or revenue generation.
  • Deliver value narratives to C-suite stakeholders and G-SIB leadership to accelerate software adoption pipelines.
  • Automate front-to-back-office workflows, including institutional onboarding and trade lifecycle management, using Lean or Six Sigma methodologies while maintaining audit trails.
  • Own the customer value journey from technical discovery and proof-of-concept pilots through Quarterly Business Reviews.

Desired Qualifications

  • LSS Black Belt, Lean/Six Sigma, Advanced Data Analytics, CFA, or FRM certification.

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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