Managing Director, AlphaGen Technology Lead, Mumbai

Job description

About this role Role Overview:We are seeking a senior, enterprise-minded Managing Director to lead AlphaGen Engineering as the accountable executive for the research product estate. This leader will set the strategic direction, operating model, and execution discipline required to modernize the end-to-end research lifecycle, reduce fragmented operational burden, and establish a single, scalable product engineering organization for AlphaGen's next phase of growth. As Managing Director, you will own the multi-year transformation agenda that advances AlphaGen toward a cloud-native, AI-first research ecosystem. You will partner with senior leaders across PMG, AlphaGen, Aladdin product, platform engineering, risk, security, and enterprise governance to retire legacy tooling, modernize core runtimes, and create productized self-service workflows that shorten research-to-production from months to hours. The role requires executive judgment, commercial orientation, and the ability to translate firm-wide priorities into durable engineering outcomes. AlphaGen Investor Research Product is PMG's strategic research-technology engine. This role will be responsible for shaping and delivering a cloud-native, AI-powered, self-service suite of products that accelerates the lifecycle of data, signals, and models, while working in deep partnership with the AlphaGen platform team to ensure the operational backbone meets enterprise standards for reliability, resiliency, security, cost discipline, and scale. Key Responsibilities:Strategic Leadership \& Transformation Execution * Enterprise Strategy \& Execution: Define and execute the enterprise product engineering strategy for AlphaGen Investor Research, aligning product direction with major firm priorities including cloud migration, AI-first workflows, standardization, resilience, operational risk reduction, and legacy system retirement. * Executive Accountability: Establish clear ownership, decision rights, funding priorities, governance, and measurable outcomes across the full AlphaGen investor research product estate, ensuring senior stakeholders have transparency on progress, trade-offs, risks, and value delivery. Partnership Building \& Cross-Functional Collaboration * Senior Stakeholder Partnership: Build trusted partnerships with PMG, AlphaGen leadership, Aladdin product, platform engineering, enterprise architecture, risk, security, finance, and governance stakeholders to align roadmaps, resolve dependencies, and drive shared outcomes across organizational boundaries. * Governance \& Control Environment: Strengthen collaboration with internal governing bodies and central teams to ensure consistent engineering standards, regulatory compliance, audit readiness, operational resilience, and seamless integration with broader enterprise systems. User Engagement \& Adoption (Self-Service by Default) * User-Centric Product Strategy: Set the product strategy for a "single front door" research experience that enables researchers to access data, tools, documentation, support, and production pathways through a cohesive, intuitive, and scalable operating model across the full spectrum of research personas. * Frictionless Research-to-Production: Deliver a materially simpler research-to-production pipeline by productizing reusable building blocks for data onboarding, signal development, model validation, production release, controls, and support, enabling researchers to move from idea to production with minimal hand-offs and clearer accountability. Product Engineering Leadership (What Researchers Use) * Core Frameworks \& Developer Experience: Own and evolve the core libraries, frameworks, SDKs, APIs, templates, and archetypes that enable consistent signal and model development, ensuring researchers have a cohesive, high-quality development experience at enterprise scale. * AI-Enabled Tooling: Lead the development of AI-powered research tools and automation, including spec-to-signal workflows, validation agents, automated quality checks, and intelligent controls that 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, approvals, controls, and evidence required for enterprise governance. Product Infrastructure Leadership (Systems the Platform Runs On) * Foundational Systems Partnership: Partner with the AlphaGen platform team to optimize the foundational systems that power AlphaGen products and ensure product needs are reflected in platform investment, prioritization, and operating standards. * Compute \& Runtime: Shape scalable GPU/CPU execution environments, efficient scaling policies, performance optimization, and resource allocation models for diverse and cost-sensitive research workloads. * Observability \& Operations: Drive end-to-end telemetry, monitoring, incident detection, recovery automation, service health transparency, and operational discipline required for high platform uptime and resiliency. * DevOps \& CI/CD: Champion infrastructure-as-code, robust deployment pipelines, standardized build/test/release workflows, and disciplined change management to accelerate delivery while improving reliability. * Reliability \& Production Standards: Apply resiliency patterns and harden systems to enterprise production standards for security, stability, auditability, and operational risk management. * Operational Automation: Expand automation for data quality checks, pipeline health monitoring, backfills, change management, support workflows, and control evidence to reduce manual intervention, key-person dependency, and execution risk. Legacy Modernization \& Tech Stack Evolution * Cloud Migration \& Modernization: Serve as the executive owner for the product modernization journey, including migration from legacy systems to