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Amsterdam
2 days ago
Product Owner Data Science logo

Product Owner Data Science

ABN AMRO Bank N.V.

Amsterdam
2 days ago
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Product Owner Data Science

Product Owner Data Science role at ABN AMRO, a leading Dutch bank, shaping AI strategy and leading a Data Scientist team in Amsterdam. The role requires strong product leadership, understanding of data and AI, and stakeholder management skills. It is a hybrid internship position.

AIHybridInternshipSeniorProduct OwnershipMachine Learning

Product Owner Data Science

Product Owner Data Science role at ABN AMRO, a leading Dutch bank, shaping AI strategy and leading a Data Scientist team in Amsterdam. The role requires strong product leadership, understanding of data and AI, and stakeholder management skills. It is a hybrid internship position.

Apply
AIHybridInternshipSeniorProduct Ownership

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: working from home is possible in consultation with your team and depending on your role

Employment Type

Internship

Experience Level

Experienced Product Owner with proven experience in data/AI-driven domains

Core Qualifications

Technical (Must-have)
Product OwnershipMachine LearningData PlatformsAzureDatabricksApache SparkGenerative AILLMsAgentic AIStakeholder ManagementCommunicationLeadershipStrategic ThinkingInnovationResponsible AI
Soft Skills
CommunicationStakeholder ManagementLeadershipStrategic ThinkingInnovationOwnershipCollaborationCuriosityContinuous Learning

Preferred Qualifications

Technical (Nice-to-have)
Advisory skillsCritical thinkingMulticultural leadershipGovernance structures

Key Responsibilities

  • •Translate business needs into a clear, prioritised product roadmap, balancing strategic impact, feasibility, and risk
  • •Manage and negotiate stakeholder expectations across departments such as CDO, COO, P&T, Procurement, CIOs, CISO, and bank-wide programs
  • •Guide and empower Data Scientists and Machine Learning Engineers to build scalable AI solutions on Azure, Databricks, and Spark
  • •Make decisive, data-informed prioritisation calls to ensure the highest-value initiatives are delivered first
  • •Drive adoption and value realisation, ensuring AI solutions are embedded effectively into business and IT processes
  • •Promote responsible AI practices, including data quality, governance, explainability, and adoption
Product OwnerData ScienceAIMachine LearningBankingAmsterdamHybridInternshipABN AMRO
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