Head of AlphaGen - Investor Research Product Engineering, Director

Responsibilities

• Strategic Leadership & Transformation Execution
• Strategy Development: Develop and execute a cohesive engineering strategy that aligns AlphaGen's product direction with major transformation initiatives (e.g., cloud migration, AI-first workflows, standardization, legacy system retirement).
• Clear Ownership: Establish clear product ownership, accountability, and governance across the entire AlphaGen investor research product estate
• Partnership Building & Cross-Functional Collaboration
• Cross-Organization Partnerships: 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.
• Governance & Standards: Strengthen collaboration with internal governing bodies and central teams to ensure consistent standards, regulatory compliance, and seamless integration with broader enterprise systems.
• User Engagement & Adoption (Self-Service by Default)
• User-Centric Design: Drive user adoption strategies in partnership with product management and key stakeholders, creating a "single front door" experience for researchers to access data, tools, documentation, and support covering spectrum of research personas.
• Frictionless Pipeline: Deliver a frictionless research-to-production pipeline by productizing building blocks to enable data onboarding, signal development, model validation, production release, thereby enabling researchers to go from idea to production with minimal hand-offs.
• Product Engineering Leadership (What Researchers Use)
• Core Frameworks & SDKs: Own and evolve the core libraries, frameworks, and SDKs that enable consistent signal and model development (e.g., standardized APIs, templates, archetypes), ensuring researchers have a cohesive development experience.
• AI-Enabled Tooling: Lead development of AI-powered research tools and automation (spec-to-signal workflows, validation agents, automated quality checks) to shift scaling from people-driven processes to platform-driven capabilities.
• Model Lifecycle Governance: Own end-to-end model lifecycle governance tooling, from experiment to validation to production, including configuration management, metadata tracking, reproducibility, and control frameworks.
• Product Infrastructure Leadership (Systems the Platform Runs On)
• Foundational Systems Collaboration: collaborate with the Alphagen platform team to help optimize the foundational systems that power AlphaGen's products, including:
• Compute & Runtime: scalable GPU/CPU execution environments, define efficient scaling policies, drive performance optimizations, and manage resource allocation models for diverse research workloads.
• Observability & Operations: end-to-end telemetry and monitoring, enable proactive incident detection, and automate recovery mechanisms to ensure high platform uptime and resiliency.
• DevOps & CI/CD: Champion infrastructure-as-code, robust deployment pipelines, and standardized build/test/release workflows to accelerate delivery and improve reliability of platform updates.
• Reliability & Production Standards: apply resiliency patterns, and harden systems to enterprise production standards for security and stability.
• Operational Automation: Expand automation for operational tasks (data quality checks, pipeline health monitoring, backfills, change management) to reduce manual intervention and err

Benefits

Additional Information

About this role Role Overview: We are seeking a visionary, strategic, and execution-oriented leader to serve as the Head of AlphaGen Investor Research Product Engineering. This role centralizes end-to-end ownership of the AlphaGen's research product estate spanning research lifecycle with an explicit focus on eliminating fragmented operational burden and establishing a single accountable organization for AlphaGen's modernization and future growth. You will drive a unified product and transformation strategy that accelerates evolution toward a cloud-native, AI-first research ecosystem. Key initiatives include retiring legacy tooling, modernizing core runtimes, and creating scalable self-service workflows that shorten research-to-production from months to hours. This transformation enables AlphaGen's Investor Research Solutions & Services to focus on high-value quantitative partnership with the Portfolio Management Group (PMG), while Investor Research product (under your leadership) provides a robust foundation, reusability, and productized research capabilities to support and scale alpha generation efforts. AlphaGen Investor Research Product is PMG's strategic research-technology engine. In this role, you will 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 all while working closely with the Alphagen platform team in providing the operational backbone required for reliability, resiliency, security, and scale.

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