Job description

About this role Your Team: Aladdin is BlackRock’s end-to-end investment platform, supporting investment management, trading, operations, accounting, and risk workflows across the investment lifecycle. You will join the Aladdin Product team as it continues to scale and evolve the platform for a growing and increasingly diverse client base. The team works in close partnership with engineering and data specialists to solve complex financial technology challenges and expand Aladdin’s artificial intelligence capabilities. Your Role and Impact: This analyst role sits at the intersection of artificial intelligence (AI) development, technology delivery, and client partnership. You will contribute to the delivery of complex technology solutions and large-scale initiatives, take ownership of critical workstreams, and help influence product strategy. The role is well suited to someone who can translate client challenges into engineering solutions, collaborate effectively across disciplines, and solve complex problems at scale. 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: Develop and deliver product roadmaps, business content, and supporting materials, prioritizing features based on client needs and supporting timely execution. Partner with engineering and data specialists to embed artificial intelligence (AI)-first principles throughout product planning and delivery. Contribute to AI-powered solutions, including enterprise chatbots and automation capabilities, while identifying opportunities to reduce manual operational effort at scale. Conduct user discovery and stakeholder interviews, translating insights into product priorities, dashboards, and reporting frameworks that support leadership decision-making. Design scalable processes and operating models, including Responsible, Accountable, Consulted, and Informed (RACI) frameworks, to improve engineering productivity and capacity allocation. Promote quality, reliability, and compliance throughout the product delivery lifecycle. Your Experience: 0–3 years of experience in product management. Proven track record of managing complex, cross-functional initiatives. Strong understanding of artificial intelligence and machine learning (AI/ML) applications in enterprise platforms. Ability to translate technical concepts into clear business-impact narratives. Experience collaborating with distributed engineering teams and stakeholder groups. Strong analytical and problem-solving capabilities. Our Benefits: BlackRock offers a comprehensive benefits package that includes competitive compensation, a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO). For NY7 - 50 Hudson Yards, New York Only the salary range for this position is USD$111,625.00 - USD$132,500.00 . 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 Disability.Assistance blackrock.com . 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.

Requirements

Must-haves

Develop and deliver product roadmaps, business content, and supporting materials, prioritizing features based on client needs and supporting timely execution.
Partner with engineering and data specialists to embed artificial intelligence (AI)-first principles throughout product planning and delivery.
Contribute to AI-powered solutions, including enterprise chatbots and automation capabilities, while identifying opportunities to reduce manual operational effort at scale.
Conduct user discovery and stakeholder interviews, translating insights into product priorities, dashboards, and reporting frameworks that support leadership decision-making.
Design scalable processes and operating models, including Responsible, Accountable, Consulted, and Informed (RACI) frameworks, to improve engineering productivity and capacity allocation.
Promote quality, reliability, and compliance throughout the product delivery lifecycle.
0–3 years of experience in product management.
Proven track record of managing complex, cross-functional initiatives.
Strong understanding of artificial intelligence and machine learning (AI/ML) applications in enterprise platforms.
Ability to translate technical concepts into clear business-impact narratives.
Experience collaborating with distributed engineering teams and stakeholder groups.
Strong analytical and problem-solving capabilities.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: workday
Effort: long