Vice President, Digital and AI Transformation

Position Overview

The Vice President of Digital & AI Transformation is responsible for formulating and driving the company's overarching digital strategy and Artificial Intelligence transformation roadmap. Leveraging data, AI technologies, automation, and digital platform capabilities, this role aims to comprehensively enhance operational efficiency, foster business model innovation, and elevate the customer experience, thereby achieving business growth and upgrading organizational capabilities.

Reporting to the CEO or COO, this position serves as a core, strategic-level leadership role within the company.

Core Responsibilities

Digital & AI Strategic Planning

• Develop a company-wide digital transformation strategy (3–5 year roadmap).
• Build AI-driven business growth models (an "AI-first" strategy).
• Identify opportunities for AI application across key business functions (supply chain, marketing, operations, finance, HR, etc.).
• Establish mechanisms for managing the digital investment portfolio and prioritizing initiatives.

AI & Data Platform Development

• Lead the development of the enterprise data platform (Data Lake / Data Warehouse / Lakehouse).
• Drive the implementation of Generative AI, Large Language Models (LLMs), and Machine Learning platforms.
• Establish a unified data governance framework (covering data quality, security, and compliance).
• Build enterprise-grade AI "Middle-Platform" capabilities.

Digital Reengineering of Business Processes

• Drive end-to-end business process automation (leveraging RPA + AI).
• Redesign core business processes (sales, supply chain, customer service, etc.).
• Enhance operational efficiency and cost optimization capabilities.

AI Implementation & Commercial Value Realization

• Drive the scaled adoption of AI across products, services, and operations.
• Build AI-driven intelligent decision-making systems (for forecasting, optimization, and recommendations).
• Quantify the ROI of AI projects and drive their commercialization.

Technology & Architecture Leadership

• Guide the design of IT/Data/AI architecture and the selection of technology stacks.
• Collaborate with the CTO to ensure alignment of the technology roadmap.
• Drive the integration of cloud computing platforms (AWS/Azure/GCP) with enterprise systems.

Organization & Talent Development

• Build and lead the Digital & AI team (including Data Scientists, AI Engineers, Product Managers, etc.).
• Drive the organization's digital culture transformation (fostering an "AI-Ready Organization").
• Establish an internal talent development system for AI expertise.

External Collaboration & Ecosystem Building

• Establish partnerships with AI technology firms, cloud providers, and consulting firms.
• Evaluate and introduce external AI solutions and emerging technologies.
• Participate in industry digital alliances and standards-setting bodies.

Job Requirements

Educational Background

• Bachelor's degree or higher; degrees in Computer Science, Data Science, Engineering, Mathematics, or an MBA are preferred.

Work Experience

• 20+ years of experience in IT, digital transformation, data management, or AI-related fields.
• At least 5 years of executive-level leadership experience (e.g., VP, Chief Digital Officer, CTO, Head of AI).
• Proven track record of successfully leading digital transformation initiatives within large enterprises or multinational corporations.

Technical Capabilities

• Familiarity with AI/ML/GenAI technologies (e.g., Transformers, LLMs, Agents, etc.)
• Proficiency in Data Architecture and Cloud Platforms (AWS/Azure/GCP)
• Understanding of Data Governance, and MLOps
• Familiarity with automation and process optimization technologies (RPA, BPM)

Business Acumen

• Ability to translate technology into tangible business value (Revenue / Cost / Efficiency)
• Possession of a P&L mindset or prior experience as a business leader is preferred
• Strong strategic planning and execution capabilities

Leadership Requirements

• Ability to lead cross-functional, global teams
• Strong Change Management capabilities
• Excellent communication and influencing skills (including the ability to influence the CEO and Board of Directors)

Key Performance Indicators (KPIs)

• Increase in ROI for digital initiatives
• AI application coverage (across business processes and products)
• Percentage reduction in operational costs
• Increase in the proportion of data-driven decisions
• Coverage of automated processes
• Percentage of revenue derived from new business initiatives (AI-driven)

Key skills/competency

• Digital Transformation
• AI Strategy
• Machine Learning
• Generative AI
• Data Governance
• Cloud Platforms
• Process Automation
• Leadership
• Business Acumen
• Change Management