VP, Artificial Intelligence - Products & Services

Role Description

IDC is seeking a transformative AI leader to define and execute our enterprise-wide AI strategy—embedding cutting-edge artificial intelligence across both internal operations and customer-facing products. This is a rare opportunity to shape how a global data and intelligence company harnesses AI, from agentic workflows and large language models to predictive analytics and AI-native product experiences. Reporting directly to the CTO, the VP of AI will lead a high-performing technical team, partner across business units, and drive measurable business impact through intelligent, responsible, and scalable AI solutions.

• Partner with the CEO, CTO, CIO, and business unit heads to define IDC's multi-year AI roadmap—spanning generative AI, agentic systems, predictive analytics, and AI-native product development.
• Architect and oversee IDC's AI platform and infrastructure, ensuring scalability, security, and alignment with enterprise data strategy.
• Develop and execute IDC’s approach to agentic AI technology, thereby delivering the centerpiece of IDC Quanta, our cross-channel technology intelligence layer.
• Recruit, develop, and retain a world-class AI team spanning ML engineers, data scientists, AI product managers, and MLOps specialists.
• Translate complex AI capabilities into clear business value for executives and department heads; maintain transparent goals and resource planning.
• Evaluate and manage AI technology partnerships, vendor relationships, and open-source contributions to accelerate IDC's AI capabilities.

Qualifications

• PhD. or Master's degree in Computer Science, AI/ML, Statistics, or a related quantitative field (or equivalent experience).
• 7+ years of experience in applied machine learning, AI engineering, or data science—with at least 3 years in senior technical leadership roles.
• Demonstrated track record of delivering AI-powered products and platforms that generated measurable business impact (revenue growth, cost reduction, or product differentiation).
• Deep expertise in modern AI/ML and agentic/generative systems design.
• Hands-on fluency with generative AI technologies: LLM fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen).
• Strong engineering foundation: Python, SQL, cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML), and modern MLOps practices (CI/CD, model monitoring, feature stores).
• Experience building and managing diverse, cross-functional AI teams in fast-paced environments.
• Outstanding communication skills—able to translate AI concepts for non-technical executives and inspire confidence at board level.

Requirements

• Experience in media, data/intelligence, B2B SaaS, or MarTech industries.
• Familiarity with knowledge graphs, semantic search, or AI applications in content and market research workflows.
• Experience with responsible AI frameworks, model governance, and AI regulatory compliance (EU AI Act, NIST AI RMF).
• Track record of building AI developer platforms or shared ML infrastructure used by multiple product teams.

Benefits

• 15 vacation days (prorated based on start date)
• 12 company-paid holidays
• 6 paid sick days (prorated based on start date; may vary by state)
• Medical, dental, and vision coverage
• 2 floating holidays (prorated based on start date)
• 1 volunteer day
• 401(k) company match (IDC matches 3% on the first 6% of employee contributions)
• Company-paid short-term disability
• Company-paid life insurance
• Company-paid parental leave