Private Bank – Client Lifecycle Management (CLM) Digital and AI, VP

Details of the Division and Team:

The Client Lifecycle Management (“CLM”) Digital & AI VP is a Front Office First Line of Defence role embedded within CLM, responsible for how AI, automation and digital capabilities are applied in client onboarding and lifecycle decisioning.

In line with evolving MAS and HKMA expectations for fully digitised and technology-enabled onboarding journeys, this role ensures CLM maintains full ownership of client acceptance decisions, control outcomes, and execution quality in an increasingly AI-supported environment.

This role is not responsible for technology build; it is accountable for operationalising AI within CLM workflows and ensuring effective adoption in real client onboarding cases.

Role Purpose

• Embed AI and digital capabilities into day-to-day CLM onboarding and lifecycle execution

• Ensure CLM retains First Line ownership of decision-making in a digital environment

• Translate regulatory direction (MAS / HKMA) into practical, usable onboarding flows

• Drive adoption and effective use of AI tools by CLM and Front Office teams

Role Scope Clarification

• This role sits within CLM, reporting into CLM leadership

The role is accountable for how AI is used in CLM decisioning, not how it is built.

What we will offer you:

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services

• Comprehensive leave benefits

• Gender Neutral Parental Leave

• Hybrid working arrangements

• 25 days of annual paid leave, plus public holiday

• A culture of continuous learning to aid progression

Your key responsibilities:

1. AI-Enabled CLM Decisioning

Define and embed how AI outputs are used in onboarding and lifecycle processes, including:

• KYC data extraction and validation

• SoW/SoF assessment support

• Document verification and completeness checks

• Case summarisation to support CLM approval decisions

2. Agentic Workflow Execution

Design and operationalise agentic onboarding workflows to:

• Orchestrate end-to-end onboarding steps

• Reduce manual handoffs and duplication

• Guide CLM analysts through structured decision pathways

Define:

• Where automation applies vs. human judgement

• Escalation and override principles

• Ownership of decisions at each stage

3. Digital Client Onboarding (MAS / HKMA Alignment)

Translate regulatory expectations into end-to-end digital onboarding journeys that are:

• Leveraging a fully ai and digitised (not partially manual) tooling

• Consistent across markets (SG / HK)

• Practical for Front Office and CLM usage

• Tangible benefits in end to end experience

4. Front Line Adoption & Workflow Integration

Drive adoption of AI and digital tools across:

• CLM teams (makers, checkers, approvers)

• Relationship Managers and Client Advisors

5. Process Simplification through AI

Identify opportunities to:

• Reduce onboarding turnaround time

• Eliminate duplication and rework

• Improve quality and consistency of KYC outputs

6. First Line Risk Ownership in a Digital Environment

Ensure CLM retains full accountability for onboarding decisions, regardless of AI support

Define clear boundaries between:

• AI-supported outputs

• Human validation and approval

• Define the ai governance model for CLM

7. Stakeholder Engagement (Execution-Focused)

Work closely with:

• Front Office (RMs / Market Heads) – usability and workflow alignment

• AFC / Compliance – regulatory interpretation and control expectations

• Technology – ensure tools meet CLM requirements

Your skills and experience:

Core CLM Expertise

• At least 8-10 years of experience in CLM / KYC / AML / SoW within Private Banking or Wealth Management

• Deep understanding of onboarding workflows, maker-checker processes, and client risk assessment

• Experience operating in a First Line control environment

Digital & AI Capability

• Experience working with:

  • AI-enabled onboarding / KYC tools

  • Automation or workflow orchestration platforms

  • Digital onboarding solutions

• Ability to:

  • Translate AI capability into practical workflow usage

  • Challenge tools based on real operational needs

• Proven ability to deploy prompt-based AI solutions into live workflows (e.g. copilots, agentic use cases)

• Hands-on experience leveraging latest AI tools to deliver measurable improvements in onboarding speed, quality, and client experience

• Track record of moving AI from concept → real usage → tangible business outcomes

Profile Fit

• CLM practitioner who understands how onboarding actually works operationally

• Comfortable working across Business, Risk, and Technology

• Focused on execution, adoption, and outcomes

• Proven track record in delivering prompt based solutions and working with the latest ai / tech solutions to drive tangible change and client benefits

• Bachelor’s degree in Banking, Finance, Accountancy, Business Administration, or a related discipline.

• Fluency in English

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.