Head Of Alphagen - Investor Research Product Engineering, Director

BlackRock

New York, NY, USA
Base: usd$225,000.00 - usd$285,000.00; bonus/equit...
On-site
Cloud-native ai-first research ecosystem
End-to-end ownership of research product estate
Modernize core runtimes and retire legacy tooling
Lead the organization responsible for delivering a cloud-native, AI-powered, self-service suite of products that accelerates the end-to-end lifecycle of data, signals, and models

Job Summary

  • Lead the organization responsible for delivering a cloud-native, AI-powered, self-service suite of products that accelerates the end-to-end lifecycle of data, signals, and models.
  • Drive a unified product and transformation strategy that accelerates evolution toward a cloud-native, AI-first research ecosystem.
  • Forge and nurture strong partnerships across stakeholders, broader Aladdin product and platform engineering organizations to drive shared roadmaps, shared outcomes, and frictionless execution of initiatives.

Matching Summary

Lead the organization responsible for delivering a cloud-native, AI-powered, self-service suite of products that accelerates the end-to-end lifecycle of data, signals, and models.

Salary

Base: USD$225,000.00 - USD$285,000.00; Bonus/Equity: Eligible for an annual discretionary bonus; Benefits: Comprehensive healthcare, leave benefits, and retirement benefits

Skills & Requirements

Must-have

  • Cloud-native AI-first research ecosystem
  • End-to-end ownership of research product estate
  • Modernize core runtimes and retire legacy tooling
  • Develop and execute engineering strategy
  • User-centric design and frictionless pipeline

Nice-to-have

  • AI-First, Human-in-the-Loop operating principle
  • Platform Over People philosophy
  • Single Front Door user experience
  • Standardization Everywhere approach
  • Self-Service as the Default empowerment

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Proven experience leading large-scale engineering organizations through product transformation
  • Strong understanding of alpha generation workflows
  • Experience with cloud technologies and cloud-native architectural patterns
  • Experience with AI/ML applications for workflow automation

Work Rights

Not specified

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