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AI and Marketing Intelligence Analyst

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Delta Electronics (Americas) Ltd.
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Who We Are

Delta Electronics is a global innovator at the forefront of technologies powering the future. Since 1971, we’ve been leading the way in high-efficiency power and thermal management solutions. Today, we’re driving transformation across industries with smart, sustainable systems that enable everything from AI, industrial automation, and data centers to EV charging, renewable energy, and intelligent buildings.

Delta is powering the AI age with cutting-edge infrastructure solutions for hyperscale and edge data centers. Our high-efficiency power systems, thermal management, and intelligent monitoring technologies help the world’s largest data operators achieve peak performance and sustainability. Join us to help build the cornerstone solutions that will run tomorrow’s digital world.

Role summary:

Delta's in-house AI and market intelligence expert. This person is the team's authority on how the AI-driven data center market is evolving, runs competitive and market research, sizes our opportunities, and tracks how the major players (Google, NVIDIA, the hyperscalers) are reshaping data center architecture and demand. What it does for Delta: turns a fast-moving AI infrastructure market, chip roadmaps, power and cooling architecture shifts, and hyperscaler strategy, into TAM, SAM, and competitive insight that guides the product and go-to-market decisions of the whole team.

Ideal profile: an analyst with deep AI and data center market fluency, strong research and data skills, and the ability to translate fast-moving technology and competitive shifts into clear guidance for product strategy. We especially value hands-on AI experience, someone who has used AI heavily in practice, including to build or write code, which signals real depth with the technology.

Key Responsibilities What You’ll Do
  • Serve as the team's AI expert and run AI research on the data center infrastructure market.
  • Track how data center architecture is changing, power, cooling, compute, and networking, and what it means for our portfolio.
  • Analyze how major players (Google, NVIDIA, hyperscalers, and key competitors) are reshaping the market.
Market & Competitive Intelligence
  • Research competitors, their products, roadmaps, and positioning.
  • Build and maintain competitive intelligence for the product and sales teams.
  • Track industry, technology, and economic trends relevant to the portfolio.
Market Sizing & Analysis
  • Develop TAM and SAM models for our products and target segments.
  • Support multi-year market forecasts and opportunity prioritization.
  • Source and validate market data from credible, approved industry sources.
Insight & Enablement
  • Turn research into clear briefings, models, and recommendations for the product team.
  • Support product, pricing, and go-to-market decisions with data and analysis.
  • Maintain a shared intelligence base the whole team can draw on.
Key Skills & Capabilities
  • Deep understanding of AI infrastructure and how the data center market is evolving.
  • Strong research, data analysis, and market-sizing skills.
  • Ability to make sense of fast-moving technology and competitive shifts.
  • Excellent communication and the ability to brief technical and executive audiences.
  • Knowledge of industry trends, customer needs, and competitors.
Minimum 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 and accelerators (for example NVIDIA) and their impact on infrastructure
    • Hyperscaler and cloud provider strategy (for example Google and peers)
    • Power, cooling, and data center architecture trends
  • Strong data analysis skills and…
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