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Global Head of Technology, Private Markets

Job in New York, New York County, New York, 10261, USA
Listing for: S&P Global, Inc.
Full Time position
Listed on 2026-10-23
Job specializations:
  • Software Development
    Data Engineering, AI Engineer (Applied/Software), Python
Salary/Wage Range or Industry Benchmark: 207000 - 350000 USD Yearly USD 207000.00 350000.00 YEAR
Job Description & How to Apply Below
Location: New York

About the Role:

Grade Level (for internal use): 15 The Team The Private Markets Technology team builds and operates the platforms that support critical workflows across Private Equity and Private Credit. We are looking for a hands-on technology leader to own the engineering, architecture, delivery, and operational performance of our Private Markets technology platforms, while driving their transformation into modern, AI-native products.

This is a practitioner leadership role, not a traditional technology management or architecture position. The successful candidate will be equally comfortable writing code and prototyping solutions, working directly with engineering teams, shaping technology strategy, and driving complex organizational delivery. The role requires strong Private Markets domain knowledge, deep engineering expertise, and the ability to challenge existing technology, data models, and operating practices to deliver meaningful transformation.

Responsibilities

and Impact
  • Own technology and delivery:
    Lead engineering execution, architecture, platform modernization, operational resilience, and production outcomes across the Private Markets technology portfolio, with end-to-end accountability for technology performance and delivery.
  • Build alongside engineering teams:
    Actively participate in solution design, coding, rapid prototyping, AI-assisted development, and complex technical problem-solving. Lead through direct technical engagement, not simply delegation.
  • Drive AI-native transformation:
    Accelerate the adoption of AI-native engineering approaches, intelligent workflows, agentic solutions, automation, and modern development practices to transform existing products and create new capabilities.
  • Modernize platforms, data, and integration:
    Analyze existing applications, databases, data models, and integration patterns to simplify legacy architectures and develop scalable data products, interoperable services, APIs, and intelligence capabilities across the Private Markets ecosystem.
  • Translate Private Markets expertise into technology:
    Turn Private Equity and Private Credit workflows, including portfolio monitoring, valuations, performance analytics, investment operations, and covenant analysis, into practical, scalable technology solutions.
  • Create a culture of engineering excellence and accountability:
    Work across product, business, data, and engineering teams to challenge established approaches, accelerate outcomes, and build a culture of hands-on ownership, experimentation, rapid delivery, technical excellence, and accountability while ensuring platforms remain secure, scalable, resilient, and operationally sound.
What We’re Looking For Basic

Required Qualifications

Proven technology leadership experience over a 15+ year career delivering complex enterprise platforms, with accountability across engineering, architecture, technology delivery, platform modernization, and production outcomes, preferably within financial services, investment management, or Private Markets. Strong understanding of Private Equity and Private Credit, including investment life cycles, portfolio data, valuation processes, financial reporting, performance analytics, and investment operations. Deep hands-on software engineering experience, with the ability and willingness to design, write code, prototype solutions, and troubleshoot complex technical problems alongside engineering teams.

Deep expertise in modern application architectures, cloud-native development, APIs, integration, distributed systems, and data platforms, with experience in modernizing complex or legacy technology environments. Practical experience analyzing applications, databases, and data models; engineering data pipelines and data products;…

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