Principal Analyst: AI & Data Center Power Trends

Wood Mackenzie; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Wood Mackenzie, a global energy analytics leader, seeks a Principal Analyst for its Power & Renewables group focused on Large Loads like data centers and electrification. You will author research and advise product and data teams on regulatory, market, and technology trends while supporting client conversations.

Qualified candidates bring deep data-center experience, AI infrastructure expertise, and strong communication skills to drive strategy and forecasting in a fast-evolving energy

Qualifications

• Proven expertise in AI infrastructure, compute types and data-center power considerations.
• Strong experience with data centers or large electrical loads.
• Track record of authoring research or client-facing analysis.
• Ability to translate market needs into product or data requirements.

Responsibilities

• Author research reports and insights on regulatory changes, market dynamics, and technology trends for large loads.
• Provide technical and market context to product and data teams; validate roadmaps.
• Be the go-to expert on AI infrastructure, DC/AC power, and data-center demand factors.
• Engage with clients to gather use cases and data requirements; represent research publicly.
• Guide data analysts and data scientists in classifying and vetting large-load data.
• Support Sales, Marketing, and consulting teams in client conversations and webinars.

Skills

AI infrastructure

Data center expertise

Policy & regulation understanding

Communication skills

Project management

Stakeholder engagement

Education

Bachelor's or Master's degree

Tools

AI tooling

Data analysis software

Job description

Wood Mackenzie, a global energy analytics leader, seeks a Principal Analyst for its Power & Renewables group focused on Large Loads like data centers and electrification. You will author research and advise product and data teams on regulatory, market, and technology trends while supporting client conversations.

Qualified candidates bring deep data-center experience, AI infrastructure expertise, and strong communication skills to drive strategy and forecasting in a fast-evolving energy