About this role

AI Product Solutions Lead, Technology Product – Aladdin Data

Your team

Aladdin Data brings together product, data, technology, and domain expertise to develop data capabilities that support users and business workflows. This role sits within Technology Product and works across engineering, data science, architecture, design, and business teams to turn complex business and user needs into scalable product solutions.

Your role and impact

As an AI Product Solutions Lead, you will lead the integration and channel experiences workstream for a single AI-powered platform, developing and evolving the product from concept through launch, adoption, and ongoing optimization. You will define the product vision and strategy for this workstream, translate complex business and user needs into technical product requirements, prioritize the roadmap, and partner closely with engineering, data science, architecture, design, business teams, and client businesses as key stakeholders to deliver scalable AI solutions.

You will operate at the intersection of client business problems, product experiences, data, and AI technology. With a primary focus on integration and channel experiences, you will lead the workstream that connects the AI product to the applications, workflows, and touchpoints through which users engage with the platform. In addition to traditional product management responsibilities, you will bring a product solutions architecture perspective, developing a strong understanding of the underlying data, models, application programming interfaces (APIs), AI agents, retrieval and grounding approaches, integrations, channels, and platform architecture. This technical depth will allow you to shape solution design, evaluate architectural trade-offs, and make informed product decisions while partnering with engineering and architecture teams.

You will also define measures of success, evaluate AI quality and user experience, monitor product performance, incorporate user feedback, and drive continuous improvement as models, data, technology, and user needs evolve.

Your responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

- Define AI product vision and strategy and own the end-to-end product lifecycle , from problem discovery and requirements through development, launch, adoption, measurement, and continuous optimization.
- Translate business and user needs into technical product requirements and own the roadmap and backlog , balancing user value, business impact, technical feasibility, data readiness, model performance, risk, and engineering effort.
- Serve as a product solutions partner across engineering, data science, architecture, design, and business teams , shaping scalable solutions across data requirements, integrations, APIs, grounding approaches, orchestration, and platform capabilities.
- Shape AI-powered and agentic experiences , including conversational interfaces, intelligent recommendations, automated workflows, decision support, and human-in-the-loop experiences, and drive experimentation across models, context, grounding, workflows, and user experiences.
- Define AI evaluation frameworks and product key performance indicators , using telemetry, experimentation, user feedback, and production performance to improve quality, relevance, reliability, scalability, adoption, productivity, and business outcomes.
- Define product requirements for responsible AI , including transparency, explainability, access controls, data privacy, evaluation, monitoring, security, governance, and appropriate human oversight.
- Evaluate emerging AI capabilities and translate relevant advances into practical product opportunities , grounding technology decisions in real user needs, product strategy, architectural considerations, and measurable business value.

Your experience

- Experience leading technical product management, including product strategy, roadmap development, prioritization, technical requirements definition, and ownership of products from concept through production launch and adoption.
- Knowledge of AI and machine learning product development, including generative AI, large language models, AI agents and agentic workflows, prompting, context management, and model capabilities.
- Working knowledge of retrieval-augmented generation (RAG), grounding, knowledge retrieval, semantic data models, and structured and unstructured data approaches.
- Experience partnering on product solution and platform architecture, including APIs, system integrations, data pipelines, and technical trade-offs, with the ability to shape technical solutions without being the primary engineer implementing them.
- Experience defining product and AI quality measures and using evaluation, telemetry, experimentation, quantitative insights, and qualitative user feedback to improve product experiences and outcomes.
- Understanding of responsible AI principles and considerations related to security, privacy, governance, evaluation, monitoring, and controls for production AI products.
- Ability to translate complex business workflows and user needs into scalable product and technical solutions and communicate effectively across engineering, data science, architecture, design, business teams, and senior stakeholders.

For New York, NY Only the salary range for this position is USD$162,500.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.


Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently 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 due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate 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 any other basis protected under applicable federal, state, or local 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 or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected] . All requests are treated in line with our privacy policy .

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.