Head of AlphaGen - Investor Research Product Engineering, Director
LGBT Great, New York, NY, United States
About this 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 research product estate, focusing 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 the Investor Research product provides a robust foundation, reusability, and productized research capabilities to support and scale alpha generation efforts.
Key Responsibilities
Strategic Leadership & Transformation Execution
Develop and execute a cohesive engineering strategy that aligns AlphaGen’s product direction with major transformation initiatives (cloud migration, AI‑first workflows, standardization, legacy system retirement).
Establish clear product ownership, accountability, and governance across the entire AlphaGen investor research product estate.
Partnership Building & Cross‑Functional Collaboration
Forge and nurture strong partnerships across stakeholders, broader Aladdin product and platform engineering organizations to drive shared roadmaps and frictionless execution.
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)
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 spanning all research personas.
Deliver a frictionless research‑to‑production pipeline by productizing building blocks to enable data onboarding, signal development, model validation, and production release, enabling researchers to move from idea to production with minimal hand‑offs.
Product Engineering Leadership (What Researchers Use)
Own and evolve the core libraries, frameworks, and SDKs that enable consistent signal and model development (e.g., standardized APIs, templates, archetypes).
Lead development of AI‑powered research tools and automation to shift scaling from people‑driven processes to platform‑driven capabilities.
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)
Collaborate with the Alphagen platform team to optimize foundational systems powering AlphaGen’s products.
Define scalable GPU/CPU execution environments, efficient scaling policies, and performance optimizations.
Implement end‑to‑end telemetry and monitoring for proactive incident detection and automated recovery.
Champion infrastructure‑as‑code, robust deployment pipelines, and standardized build/test/release workflows to accelerate delivery.
Apply resiliency patterns and harden systems to enterprise production standards for security and stability.
Expand automation for operational tasks (data quality checks, pipeline health monitoring, backfills, change management).
Legacy Modernization & Tech Stack Evolution
Lead end‑to‑end product modernization, including cloud migration and timely retirement of legacy tools.
Drive an API‑first, cloud‑native platform design to improve scalability, performance, and interoperability.
Market and Business Insight / “North Star” Alignment
Stay attuned to market trends and internal demand signals relevant to alpha‑generation platforms and AI‑driven research capabilities.
Partner with senior leadership to define and communicate a clear business “North Star” for AlphaGen Product Engineering—reduce operational barriers, enable rapid iteration, scale platform services, and capture more alpha opportunities.
Leadership Attributes
Embrace AI‑driven solutions while maintaining human judgment in critical loops.
Prioritize building robust platforms and automation over individual heroic efforts.
Advocate a single front door for unified user experience.
Drive standardization across tools, processes, and data to reduce complexity.
Champion self‑service capabilities to empower independent user tasks.
Maintain deep co‑ownership with PMG for aligned priorities and shared KPIs.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree is a plus.
Strategic Engineering Leadership: Proven experience leading large‑scale engineering organizations through product transformation initiatives (platform modernization, cloud migration, operating model changes), setting vision and executing complex, multi‑year technology programs.
Technical Depth:
Alpha generation workflows or closely related quantitative research processes in finance/investments.
Cloud technologies and cloud‑native architectural patterns (microservices, containerization, distributed computing such as Ray).
API‑first platform design and developer experience best practices.
AI/ML applications for workflow automation, data validation, and operational excellence.
Modern stack knowledge (Python, Polars, Ray, MLFlow or equivalent).
Collaboration & Influence: Demonstrated partnership‑building and cross‑functional collaboration strength, capable of influencing and aligning product, platform, and governance teams around a common vision.
Execution in Complexity: Operate in complex market and organizational contexts, translating strategic objectives into actionable plans and delivering measurable outcomes at scale.
Location & Compensation For New York, NY Only: Salary range USD $225,000 – $285,000. Eligibility for an annual discretionary bonus. Benefits include healthcare, leave benefits, and retirement benefits.
Benefits Retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO).
Hybrid Work Model Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office.
Equal Employment Opportunity BlackRock is an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, evaluating qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or other bases protected under applicable law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations for individuals with disabilities. If accommodations are needed, please email Disability.Assistance@blackrock.com.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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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 research product estate, focusing 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 the Investor Research product provides a robust foundation, reusability, and productized research capabilities to support and scale alpha generation efforts.
Key Responsibilities
Strategic Leadership & Transformation Execution
Develop and execute a cohesive engineering strategy that aligns AlphaGen’s product direction with major transformation initiatives (cloud migration, AI‑first workflows, standardization, legacy system retirement).
Establish clear product ownership, accountability, and governance across the entire AlphaGen investor research product estate.
Partnership Building & Cross‑Functional Collaboration
Forge and nurture strong partnerships across stakeholders, broader Aladdin product and platform engineering organizations to drive shared roadmaps and frictionless execution.
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)
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 spanning all research personas.
Deliver a frictionless research‑to‑production pipeline by productizing building blocks to enable data onboarding, signal development, model validation, and production release, enabling researchers to move from idea to production with minimal hand‑offs.
Product Engineering Leadership (What Researchers Use)
Own and evolve the core libraries, frameworks, and SDKs that enable consistent signal and model development (e.g., standardized APIs, templates, archetypes).
Lead development of AI‑powered research tools and automation to shift scaling from people‑driven processes to platform‑driven capabilities.
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)
Collaborate with the Alphagen platform team to optimize foundational systems powering AlphaGen’s products.
Define scalable GPU/CPU execution environments, efficient scaling policies, and performance optimizations.
Implement end‑to‑end telemetry and monitoring for proactive incident detection and automated recovery.
Champion infrastructure‑as‑code, robust deployment pipelines, and standardized build/test/release workflows to accelerate delivery.
Apply resiliency patterns and harden systems to enterprise production standards for security and stability.
Expand automation for operational tasks (data quality checks, pipeline health monitoring, backfills, change management).
Legacy Modernization & Tech Stack Evolution
Lead end‑to‑end product modernization, including cloud migration and timely retirement of legacy tools.
Drive an API‑first, cloud‑native platform design to improve scalability, performance, and interoperability.
Market and Business Insight / “North Star” Alignment
Stay attuned to market trends and internal demand signals relevant to alpha‑generation platforms and AI‑driven research capabilities.
Partner with senior leadership to define and communicate a clear business “North Star” for AlphaGen Product Engineering—reduce operational barriers, enable rapid iteration, scale platform services, and capture more alpha opportunities.
Leadership Attributes
Embrace AI‑driven solutions while maintaining human judgment in critical loops.
Prioritize building robust platforms and automation over individual heroic efforts.
Advocate a single front door for unified user experience.
Drive standardization across tools, processes, and data to reduce complexity.
Champion self‑service capabilities to empower independent user tasks.
Maintain deep co‑ownership with PMG for aligned priorities and shared KPIs.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree is a plus.
Strategic Engineering Leadership: Proven experience leading large‑scale engineering organizations through product transformation initiatives (platform modernization, cloud migration, operating model changes), setting vision and executing complex, multi‑year technology programs.
Technical Depth:
Alpha generation workflows or closely related quantitative research processes in finance/investments.
Cloud technologies and cloud‑native architectural patterns (microservices, containerization, distributed computing such as Ray).
API‑first platform design and developer experience best practices.
AI/ML applications for workflow automation, data validation, and operational excellence.
Modern stack knowledge (Python, Polars, Ray, MLFlow or equivalent).
Collaboration & Influence: Demonstrated partnership‑building and cross‑functional collaboration strength, capable of influencing and aligning product, platform, and governance teams around a common vision.
Execution in Complexity: Operate in complex market and organizational contexts, translating strategic objectives into actionable plans and delivering measurable outcomes at scale.
Location & Compensation For New York, NY Only: Salary range USD $225,000 – $285,000. Eligibility for an annual discretionary bonus. Benefits include healthcare, leave benefits, and retirement benefits.
Benefits Retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO).
Hybrid Work Model Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office.
Equal Employment Opportunity BlackRock is an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, evaluating qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or other bases protected under applicable law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations for individuals with disabilities. If accommodations are needed, please email Disability.Assistance@blackrock.com.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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