Back
Tier-1 brand and metro location increase competition, balanced by seniority and specialized domain needs.
Role demands finance research platform and governance expertise, limiting cross-industry transferability.
Requires executive engineering leadership, domain-specific AI/research platform experience and governance expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and own the multi-year transformation to modernize the AlphaGen research product estate towards a cloud-native, AI-first ecosystem.
Define and execute enterprise product engineering strategy aligned with firm priorities, overseeing legacy system retirement and operational risk reduction.
Collaborate cross-functionally to deliver a simplified research-to-production pipeline with self-service tools and ensure platform reliability, scalability, and governance.
Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
Significant experience leading large senior engineering organizations through complex product and platform transformations including cloud migration and AI-enabled modernization.
Technical expertise in cloud-native architectures, AI/ML applications, API-first platform design, and modern technology stacks (e.g., Python, Ray, MLFlow).
Work Experience Required: Significant executive-level engineering leadership experience; specific duration not explicitly mentioned in the JD.
Experienced strategic leader capable of translating firm-wide priorities into measurable engineering outcomes in a complex, multi-stakeholder environment.
Strong collaborator with proven ability to build senior partnerships across product, platform engineering, risk, security, and governance functions.
Focus on platform-driven automation, standardization, and building scalable, resilient AI-first research tools and infrastructure.