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AI Strategy and Commercialization – Vice President, APAC

SpringCube

Full time - VP/C-Level

Banking & Financial Services

Singapore, All Areas

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global financial services firm is seeking a Vice President for its Asia Pacific Chief Data & Analytics Office (CDAO) to drive AI strategy and commercialization. The organization focuses on leveraging data, AI, and analytics to deliver innovative solutions that enhance client value, operational efficiency, and risk management across APAC markets and businesses.Summary
The Vice President, APAC AI Strategy & Enablement, plays a pivotal role in developing and executing the region’s AI strategy. This position involves partnering with senior stakeholders and cross-functional teams to create AI roadmaps, identify and commercialize high-value AI use cases, and deliver solutions that generate measurable business impact while adhering to global AI governance standards.

Key Responsibilities

  • Partner with business and functional teams to understand challenges and identify AI-driven opportunities
  • Support development and execution of the APAC AI strategy aligned with global and regional priorities
  • Facilitate ideation workshops and discovery sessions to prioritize high-value AI use cases
  • Contribute to strategic roadmaps, project plans, and success metrics for AI initiatives
  • Translate business requirements into technical AI/ML solutions and ensure successful delivery
  • Promote AI literacy and continuous learning across teams
  • Prepare materials and communicate progress to senior leaders to ensure stakeholder buy-in
  • Uphold data management, governance, and regulatory standards in all initiatives
  • Monitor industry trends, emerging technologies, and regulatory developments in APAC

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree in Computer Science, Data Science, AI, Engineering, or related quantitative field
  • 8+ years of experience in AI, data science, technology strategy, or digital transformation within financial services
  • Solid understanding of financial services business lines and corporate functions
  • Experience delivering AI/ML solutions from concept to production
  • Familiarity with GenAI, LLMs, ML workflows, and agentic systems
  • Knowledge of data management, governance, and regulatory frameworks
  • Strong communication and stakeholder management skills
  • Experience in cross-functional, regional teams
  • Ability to translate technical concepts into business value
  • Understanding of APAC regulatory landscape and cultural diversity

Preferred Qualifications, Capabilities, and Skills

  • Experience supporting strategic vision and transformation initiatives
  • Knowledge of capital markets and asset management domains
  • Expertise in data and AI technologies
  • Experience in change management and driving innovation

Disclaimer
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