AI-Driven Data Center Market Intelligence Analyst

Delta Electronics (Americas) Ltd.; Plano (TX); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Life at Delta

Job summary

Delta Electronics (Americas) Ltd. is seeking an in-house AI and market intelligence expert to guide product and GTM strategy.

You will act as the team's authority on AI-driven data center markets, conducting research, sizing opportunities, and tracking competitor moves among Google, NVIDIA, and hyperscalers. Ideal candidate has hands-on AI experience, data science skills, and the ability to translate fast-moving technology into clear guidance for executives.

Qualifications

• Bachelor's degree in Business, Engineering, Economics, Data Science, or a related field.
• 3+ years in market intelligence, competitive analysis, research, or a related analytical role.
• Knowledge of the AI and data center infrastructure market, including AI compute accelerators and hyperscaler strategy.
• Strong data analysis skills and experience building TAM/SAM market models.

Responsibilities

• Serve as the team's AI expert and run AI research on the data center infrastructure market.
• Track how data center architecture is changing and assess implications for the portfolio.
• Analyze how major players (Google, NVIDIA, hyperscalers) are reshaping the market.
• Develop TAM and SAM models and support multi-year forecasts and prioritization.
• Turn research into briefs, models, and recommendations for the product teams.

Skills

AI market fluency

Research & data analysis

Executive communication

AI tools in practice

Education

Bachelor's degree in Business/Engineering/Economics/Data Science

Tools

Excel

PowerPoint

Job description

Delta Electronics (Americas) Ltd. is seeking an in-house AI and market intelligence expert to guide product and GTM strategy.

You will act as the team's authority on AI-driven data center markets, conducting research, sizing opportunities, and tracking competitor moves among Google, NVIDIA, and hyperscalers. Ideal candidate has hands-on AI experience, data science skills, and the ability to translate fast-moving technology into clear guidance for executives.