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Responsibilities
- Support infrastructure capacity deals across cloud, lease, and self-build pipelines. Assess developer credibility, cost structures, power procurement, and financing terms
- Support structuring of large-scale capital partnership vehicles (SPVs, JVs, tax equity, project finance) in coordination with Finance, Legal, and Infrastructure teams
- Provide strategic analysis on energy and data center market dynamics, including power generation (nuclear, renewables, gas), grid/transmission, utility economics, and regulatory/permitting landscape
- Synthesize intelligence across multiple deal workstreams to produce unified capital allocation views for leadership's decision-making
- Serve as Business Development’s domain expert on infrastructure and financing, ensuring the partnerships team contributes informed, independent perspectives in cross-functional forums
- Partner with Infrastructure, Finance, and Legal teams as a strategic liaison, ensuring alignment between partnership strategy and infrastructure execution
Minimum Qualifications
- BA/BS Degree in a relevant field (e.g., Finance, Economics, Engineering, or related discipline)
- 10+ years in infrastructure finance, energy project development, or capital markets with direct experience in large-scale ($1B+) project finance, JV structuring, or infrastructure M&A
- Knowledge of energy and power markets, including generation technologies, grid dynamics, PPA structures, and utility economics
- Experience in evaluating or negotiating data center, hyperscaler, or large-load infrastructure deals
- Track record in structured finance (tax equity, project debt, securitization, SPV formation)
- Ability to operate across disciplines (engineering, legal, finance, and commercial) and to synthesize complex deal structures into strategic recommendations
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- MBA or equivalent; engineering or technical undergraduate background preferred
$193,000/year to $269,000/year + bonus + equity + benefits
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