Vice President, AI, Software and Data Management

• AI Ecosystem & Technology Foresight: Lead deep-dive research into emerging AI paradigms, including foundational models, agentic workflows, embodied AI, and autonomous systems. Continuously benchmark global AI leaders, startups, and academic breakthroughs to anticipate technological shifts and identify disruptive threats.                                                                    
• Commercialization & Business Model Analysis: Decode the underlying business models of the AI economy. Analyze AI pricing strategies, enterprise adoption curves, and ROI realization across different verticals. Translate complex AI capabilities into clear market opportunities and viable commercialization pathways for our organization.                                      
• Strategic Market Sizing & Trend Forecasting: Architect rigorous methodologies to measure and forecast the AI market. Evaluate Total Addressable Market (TAM), serviceable obtainable market (SOM), and emerging AI-driven revenue streams. Provide data-backed strategic recommendations on where to invest, build, partner, or acquire.                                            
• Regulatory, Risk & Ethical Intelligence: Monitor and analyze the global AI regulatory landscape, data privacy laws, and geopolitical dynamics. Assess the commercial impact of AI governance, safety standards, and ethical considerations on our business and the broader industry.                                        
• Executive Advisory & Strategic Storytelling: Act as the primary AI market intelligence advisor to the CEO and executive board. Synthesize vast amounts of AI market signals into compelling, structured narratives that drive corporate strategy, M&A due diligence, and product roadmap prioritization.                                                                                
• Cross-Functional Insight Activation: Partner seamlessly with Corporate Development, Product Management, and Venture Capital teams to ensure AI market insights directly inform investment theses, strategic partnerships, and go-to-market strategies.       

• Education: Advanced degree (master’s or Ph.D.) in Business Administration, Economics, Technology Strategy, Computer Science, or a related field.
• Experience: 10+ years of progressive experience in technology market research, strategic consulting, or corporate strategy, with at least 5 years specifically focused on the AI, Machine Learning, or deep tech sectors.
• AI Domain Expertise: Exceptional understanding of the AI value chain, from infrastructure and model development to enterprise applications and edge deployment. Proven ability to evaluate the commercial viability of cutting-edge AI technologies.
• Strategic Acumen: Demonstrated track record of advising C-level executives and boards on AI strategy. Ability to navigate ambiguity and provide clear, actionable foresight in a highly volatile and rapidly evolving market.
• Leadership: Strong history of building and leading high-performing research teams. Ability to attract and retain top-tier talent with hybrid skill sets in technology analysis and business strategy.

Preferred Attributes:

• Prior experience at a top-tier technology strategy consulting firm or a specialized AI research/advisory organization.
• Published thought leadership, whitepapers, or recognized expertise in AI market dynamics and technology foresight.
•  Strong Communications skills in English and Chinese.

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify. 

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