About this role

We are seeking a hands-on, execution-oriented Vice President to work directly with the Chief Strategic Advisor to Aladdin on identifying, exploring, and applying AI and new technologies to a broad set of business problems at BlackRock.

This role is focused on experimentation, learning, and prototyping rather than ownership of said tools or platform. The prototypes may lead to production implementation through the appropriate existing teams at BlackRock. The successful candidate may be exposed to a wide range of business problems spanning investing, operations, client service, distribution, and corporate functions, and will help brainstorm, prototype, and demonstrate how AI can improve productivity and unlock new business opportunities.

The position will sit within the broader Portfolio Analytics Group (PAG) team to enable collaboration and sharing of best practices, while reporting both to Strategic Advisor and PAG.

Key Responsibilities

Applied AI and Problem Solving

Partner with senior leadership to explore AI-driven opportunities across the firm, with exposure to a wide range of business challenges. Independently prototype, test, and iterate on AI-enabled solutions using existing firm infrastructure and the latest tools. Translate business questions and pain points into practical proofs of concept with tangible business impact. Embrace an experimental mindset: rapid iteration, learning from results, and adjusting direction as needed.

Collaboration and Influence

Engage with business teams across all parts of the firm to brainstorm and refine use cases. Influence adoption by demonstrating value through working examples. Serve as a connector between business teams and technical partners, helping shape ideas and approaches.

Knowledge Sharing and Enablement

Capture and share learnings, patterns, and best practices across the organization. Contribute to an internal community of practice around AI and emerging technologies. Stay current on AI, fintech, and productivity trends and proactively surface ideas relevant to the firm.

What Success Looks Like (12 Months)

A diverse set of AI-driven experiments tested across multiple business areas. Tangible productivity improvements or new capability demonstrations in select workflows or business problems. Strong working relationships with business leaders and increased comfort engaging with AI tools. A clearer organizational understanding of where AI can, and cannot, add value.

Qualifications and Experience

Bachelor's or Master's degree in Computer Science, Engineering, or related discipline preferred, though technical fluency and hands-on comfort with technology is key
4+ years of professional experience, with proven experience in using technology to deliver innovative and analytical solutions
Experience in financial services, investing, fintech, or consulting is helpful but not required
Deep technical fluency in Python with hands-on experience building scalable, production-grade services
Strong knowledge of agentic design patterns, including planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals using frameworks like Google ADK, LangChain and LangGraph or similar
Ability to learn new skills and concepts quickly, highly adaptable
Strong communication skills and interpersonal skills in working with a diverse set of stakeholders

Salary: USD $137,500 - USD $194,000 plus annual discretionary bonus and benefits.

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