Data Center Market Intelligence Specialist

Essential Responsibilities

• Stay continuously at the forefront of developments in AI data center infrastructure technologies, including silicon, racks, cooling systems, and electrical architecture, as well as broader AI market evolution (e.g., agentic AI, physical AI, quantum trends)
• Translate complex technical and market developments into clear, actionable insights that articulate the “so-what” for INNIO’s strategy and positioning
• Provide informed input into forecasting data center power demand across the U.S. and global markets, incorporating evolving hyperscaler strategies and infrastructure requirements
• Analyze grid capacity, interconnection constraints, and the resulting demand for behind-the-meter and distributed energy solutions
• Track hyperscaler CAPEX investments and assess how trends such as increasing rack density and power efficiency influence INNIO’s addressable market and growth opportunities
• Maintain a strong understanding of the competitive landscape across power generation technologies, including gas engines, turbines, fuel cells, and battery energy storage systems (BESS)
• Monitor competitor strategies, product positioning, and customer perception, while identifying emerging technologies, new entrants, and potential partners that may shape the market
• Develop a deep understanding of hyperscalers, co-location providers, and data center operators, including what they value most in power solutions today and in the future
• Stay closely connected to both existing customers and strategic non-customers to gather real-world insights on decision drivers, evolving needs, and unmet opportunities
• Track and anticipate global regulatory and policy developments, including emissions standards, permitting processes, grid reliability requirements, and financial incentives
• Assess the potential impact of regulatory changes on INNIO’s business and proactively recommend actions or strategic considerations
• Strategic Pricing Insights
• Analyze and quantify customer value and willingness-to-pay across different segments and use case
• Identify key drivers influencing pricing dynamics and how they may evolve over time
• Translate insights into strategic recommendations to inform pricing approaches and overall commercial strategy for INNIO

Requirements

• Bachelor’s degree in Business, Economics, Engineering, or a related field; Master’s degree preferred
• Proven experience in the AI data center industry
• Experience in power generation, energy infrastructure, or distributed energy solutions is a plus
• Strong networking and relationship-building experience, with a proactive, outgoing approach and a natural ability to engage others
• Exposure to business intelligence, market research, or strategic analysis environments
• Experience working in global, matrixed organizations
• Proficiency with Microsoft Office tools (PowerPoint, Excel, Word, Teams), with emphasis on presentation development
• Fluency in English; additional languages (e.g., German) are a plus
• Willingness to travel domestically and internationally
• Valid driver’s license and valid passport
• Must be legally authorized to work in the United States without current or future sponsorship
• Knowledge, Skills & Abilities
• Strong knowledge of the AI data center market from a power generation perspective
• Strong networking and relationship-building skills with a proactive, outgoing approach
• Ability to quickly identify and articulate key trends shaping the data center and AI landscape
• Strong communication skills with the ability to translate complex technical and market information into clear insights
• Curiosity and continuous learning mindset, particularly related to AI and emerging technologies
• Ability to operate independently, prioritize effectively, and manage a high level of external engagement
• Ability to travel frequently, including international travel and extended travel periods
• Ability to attend industry events, conferences, and meetings that may involve walking, standing, and networking for extended periods
• Ability to work across time zones, including occasional early morning or evening meetings to support global collaboration