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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_43d18797-c22"},"title":"Head of AlphaGen - Investor Research Product Engineering, Director","description":"<p>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&#39;s research product estate spanning research lifecycle with an explicit focus on eliminating fragmented operational burden and establishing a single accountable organization for AlphaGen&#39;s modernization and future growth.</p>\n<p>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&#39;s Investor Research Solutions &amp; 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.</p>\n<p>AlphaGen Investor Research Product is PMG&#39;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.</p>\n<p>Key Responsibilities:</p>\n<p>Strategic Leadership &amp; Transformation Execution</p>\n<ul>\n<li>Strategy Development: Develop and execute a cohesive engineering strategy that aligns AlphaGen&#39;s product direction with major transformation initiatives (e.g., cloud migration, AI-first workflows, standardization, legacy system retirement).</li>\n</ul>\n<ul>\n<li>Clear Ownership: Establish clear product ownership, accountability, and governance across the entire AlphaGen investor research product estate</li>\n</ul>\n<p>Partnership Building &amp; Cross-Functional Collaboration</p>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Governance &amp; Standards: Strengthen collaboration with internal governing bodies and central teams to ensure consistent standards, regulatory compliance, and seamless integration with broader enterprise systems.</li>\n</ul>\n<p>User Engagement &amp; Adoption (Self-Service by Default)</p>\n<ul>\n<li>User-Centric Design: Drive user adoption strategies in partnership with product management and key stakeholders, creating a &#39;single front door&#39; experience for researchers to access data, tools, documentation, and support covering spectrum of research personas.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<p>Product Engineering Leadership (What Researchers Use)</p>\n<ul>\n<li>Core Frameworks &amp; 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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<p>Product Infrastructure Leadership (Systems the Platform Runs On)</p>\n<ul>\n<li>Foundational Systems Collaboration: collaborate with the Alphagen platform team to help optimize the foundational systems that power AlphaGen&#39;s products, including:</li>\n</ul>\n<p>+ Compute &amp; Runtime: scalable GPU/CPU execution environments, define efficient scaling policies, drive performance optimizations, and manage resource allocation models for diverse research workloads.</p>\n<p>+ Observability &amp; Operations: end-to-end telemetry and monitoring, enable proactive incident detection, and automate recovery mechanisms to ensure high platform uptime and resiliency.</p>\n<p>+ DevOps &amp; CI/CD: Champion infrastructure-as-code, robust deployment pipelines, and standardized build/test/release workflows to accelerate delivery and improve reliability of platform updates.</p>\n<p>+ Reliability &amp; Production Standards: apply resiliency patterns, and harden systems to enterprise production standards for security and stability.</p>\n<p>+ Operational Automation: Expand automation for operational tasks (data quality checks, pipeline health monitoring, backfills, change management) to reduce manual intervention and error risk.</p>\n<p>Legacy Modernization &amp; Tech Stack Evolution</p>\n<ul>\n<li>Cloud Migration: key player in the end-to-end product modernization journey, including the migration from legacy systems to cloud-native architectures, and the timely retirement and consolidation of legacy tools.</li>\n</ul>\n<ul>\n<li>Next-Gen Platform Architecture: Drive an API-first, cloud-native platform design to improve scalability, performance, and interoperability across the ecosystem. Leverage AI/ML where it materially improves speed, quality, and control (e.g., intelligent automation, anomaly detection).</li>\n</ul>\n<p>Market and Business Insight / &#39;North Star&#39; Alignment</p>\n<ul>\n<li>Industry &amp; Internal Insight: Stay attuned to market trends and internal demand signals, such as the rising need for adaptable alpha-generation platforms and AI-driven research capabilities.</li>\n</ul>\n<ul>\n<li>Define the North Star: Partner with senior leadership to define and communicate a clear business &#39;North Star&#39; for AlphaGen Product Engineering , reduce operational barriers, enable rapid iteration, scale platform services, and ultimately capture more alpha opportunities for the firm.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Education: Bachelor&#39;s degree in Computer Science, Engineering, or a related field; or equivalent practical experience. An advanced degree is a plus.</li>\n</ul>\n<ul>\n<li>Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs.</li>\n</ul>\n<ul>\n<li>Technical Depth (Strong understanding of):</li>\n</ul>\n<p>+ Alpha generation workflows or closely related quantitative research processes in finance/investments.</p>\n<p>+ Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray).</p>\n<p>+ API-first platform design and developer experience best practices.</p>\n<p>+ AI/ML applications for workflow automation, data validation, and operational excellence</p>\n<p>+ Modern stack knowledge and skills , e.g. Python, Polars, Ray, MLFlow or equivalent technology</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_43d18797-c22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://www.blackrock.com/","logo":"https://logos.yubhub.co/blackrock.com.png"},"x-apply-url":"https://jobs.workable.com/view/4f57KtYxqzQnCui9aPskfF/head-of-alphagen---investor-research-product-engineering%2C-director-in-new-york-at-blackrock?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["cloud technologies","cloud-native architectural patterns","API-first platform design","AI/ML applications","Python","Polars","Ray","MLFlow"],"x-skills-preferred":[],"datePosted":"2026-04-24T14:08:40.288Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"cloud technologies, cloud-native architectural patterns, API-first platform design, AI/ML applications, Python, Polars, Ray, MLFlow"}]}