Director, AI Enablement & Ecosystem

BlackRock•New York, NY

1d•Hybrid

About The Position

BlackRock is one of the world’s leading asset managers. Aladdin® is the firm’s end-to-end operating system for investment, risk, and operations, used by BlackRock and many of the world’s largest financial institutions. Aladdin is a $1bn+ technology business with ambitious growth plans and sits at the center of how we deliver technology at scale. The Aladdin Platform organization builds and operates the foundational services powering Aladdin. We enable thousands of engineers and technologists to deliver products at speed, with predictability, quality, and security. As AI rapidly reshapes how software is built, the Platform organization has a critical role in defining how AI is enabled responsibly, securely, and at scale across the firm. Role Overview The Director of AI Enablement and Ecosystem is a senior product and technology leader responsible for defining BlackRock’s strategy for AI in the software development lifecycle and owning the firm’s internal AI developer ecosystem. This role goes well beyond tool delivery. You will set enterprise direction for how AI is evaluated, adopted, governed, and embedded into engineering workflows across Aladdin and BlackRock. You will own the AI developer experience end to end, from ecosystem strategy and vendor partnerships to internal capabilities, operating models, and measurable productivity outcomes. You will operate at the intersection of Product Engineering, Platform, Security, Infrastructure, and Leadership, ensuring AI enables teams rather than slows them down. Success in this role requires strong technical credibility, executive-level communication, and the ability to lead through influence across a highly federated engineering organization.

Requirements

10+ years of experience in product management, engineering leadership, or platform leadership in a large-scale technology environment.
Demonstrated experience leading complex, cross-organizational initiatives with executive visibility.
Strong understanding of modern software development, DevSecOps, and developer platforms.
Deep familiarity with AI and emerging AI developer tooling, including strengths, limitations, and risks.
Exceptional written and verbal communication skills, with experience influencing at senior levels.
Bachelor’s degree in computer science, Engineering, or a related technical field.

Nice To Haves

Direct experience building or scaling AI-powered platforms or developer tools.
Experience with cloud-native and scalable AI systems.
Background in highly regulated environments such as financial services is a strong plus.
Advanced degree in a technical or quantitative field.

Responsibilities

Define and own the enterprise vision and strategy for AI enablement across the developer platform and SDLC. Establish a multi-year roadmap spanning coding assistants, agentic workflows, test automation, release intelligence, and operational tooling. Ensure AI enablement aligns with BlackRock’s risk, control, and regulatory posture while maintaining developer velocity.
Own the internal AI developer ecosystem, including build vs buy decisions, vendor evaluation, commercial strategy, and lifecycle management. Lead strategic partnerships with external AI providers and platform vendors. Define clear principles for when capabilities are standardized centrally versus embedded within product engineering teams.
Design and evolve the operating model for responsible AI enablement across thousands of engineers. Partner closely with Security, Risk, Legal, and Infrastructure to define guardrails that are embedded into platforms rather than enforced through gates. Ensure scalability, reliability, cost control, and auditability of AI capabilities.
Oversee the product portfolio for AI enablement within the Developer Platform. Set outcome-oriented roadmaps with clear success metrics tied to developer productivity, quality, and time to market. Ensure strong execution through alignment with engineering leads and platform delivery teams.
Drive enterprise-wide adoption of AI capabilities through clear value articulation, enablement, and internal evangelism. Define and track meaningful productivity and quality metrics, acknowledging the complexity and nuance of measuring developer impact. Regularly report progress, trade-offs, and outcomes to senior technology and business leadership.
Stay ahead of industry trends in AI developer tooling, agentic systems, and AI-native software delivery. Bring an external perspective into BlackRock, translating emerging capabilities into pragmatic, enterprise-ready solutions. Serve as a visible thought leader internally on the future of AI-enabled engineering.