VP, AI-Driven Business Analysis

Deutsche Bank AG

Singapore

Hybrid

SGD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Flexible benefits plan
Comprehensive leave benefits
Gender neutral parental leave
Hybrid working arrangement
25 days annual paid leave
Continuous learning culture

Job summary

Deutsche Bank AG in Singapore seeks a VP Business Functional Analyst to lead AI-enabled change initiatives within Private Banking. You will translate business needs into detailed functional requirements and collaborate with AI engineers and Product Owners to ensure solutions meet regulatory and governance standards.

You will run workshops, support agile delivery, and ensure clear, testable requirements while driving business outcomes across Operations, Compliance and Technology.

Qualifications

  • Minimum 8 years of experience in Business Analysis, Functional Analysis or Process Analysis within Financial Services.

Responsibilities

  • Lead business analysis activities across AI-enabled change initiatives in Private Banking.
  • Elicit, analyse and document business, functional and non-functional requirements.
  • Facilitate workshops with stakeholders, operations teams and subject matter experts.
  • Produce high-quality requirements documentation, user stories, process maps and acceptance criteria.
  • Support solution design by ensuring requirements are understood and traceable.

Skills

Business analysis
Requirements elicitation
Stakeholder management
Agile delivery
KYC domain knowledge
AI/ML basics
Process modelling
Communication
Documentation

Job description

Deutsche Bank AG in Singapore seeks a VP Business Functional Analyst to lead AI-enabled change initiatives within Private Banking. You will translate business needs into detailed functional requirements and collaborate with AI engineers and Product Owners to ensure solutions meet regulatory and governance standards.

You will run workshops, support agile delivery, and ensure clear, testable requirements while driving business outcomes across Operations, Compliance and Technology.

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