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Amsterdam
2 days ago
AI & Innovation Lead, Operations logo

AI & Innovation Lead, Operations

Adyen

Amsterdam
2 days ago
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AI & Innovation Lead, Operations

Adyen seeks an AI & Innovation Lead for Operations to drive AI and automation initiatives, build scalable solutions, and shape the operating model. The role requires operational judgment, technical depth, AI curiosity, and cross-functional influence.

AIOn-siteFull-timeSeniorArtificial IntelligenceAutomation

AI & Innovation Lead, Operations

Adyen seeks an AI & Innovation Lead for Operations to drive AI and automation initiatives, build scalable solutions, and shape the operating model. The role requires operational judgment, technical depth, AI curiosity, and cross-functional influence.

Apply
AIOn-siteFull-timeSeniorArtificial Intelligence

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)
Artificial IntelligenceAutomationWorkflow RedesignOperating ModelsCross-Functional CollaborationTechnical ArchitectureMachine LearningDigital TransformationProcess ImprovementProduct ManagementData AnalysisStrategyGovernanceProject ManagementStakeholder Management
Soft Skills
Operational JudgementCuriosityExecutive PresenceSolution-Oriented MindsetLong-term ThinkingCross-functional InstinctsCreativityChallenging ConstructivelyInfluencing Without AuthorityPractical Execution

Key Responsibilities

  • •Set the AI and innovation direction for Operations, identifying meaningful step changes in customer experience, productivity, quality, and scalability.
  • •Work with domains to identify and prioritise high-impact use cases based on business value, feasibility, and readiness.
  • •Lead the central Ops innovation model, including structure, ways of working, and foundations for domain-led re-engineering.
  • •Lead a small team of Forward Deployed AI specialists to turn ideas into scalable solutions.
  • •Build credibility for AI across Ops through clear thinking, practical examples, and risk assessment.
  • •Stay current on AI landscape and translate developments into practical implications for Ops evolution.
  • •Work with central enablement teams to connect new capabilities to Ops needs and enable upskilling.
  • •Represent Operations in central engineering to ensure Ops priorities are understood and supported.
  • •Track progress and value delivered, focusing on outcomes rather than activity.
AIInnovationOperationsFinancial ServicesAmsterdamOn-siteFull-timeProduct ManagementAutomationDigital Transformation
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