About this role

Company: BlackRock Investment Management, LLC

Job Title: Associate, Product Manager

Location: 1 University Square Drive, Princeton, NJ 8540

Job Duties: Leverage deep expertise in the Separately Managed Accounts (SMA) business model to deliver end0to0end solutions, collaborating closely with Portfolio Managers, Operations, Onboarding, Billing, and Data Engineering teams. Expert knowledge of Aladdin applications to help troubleshoot issues and ensure seamless and timely support for portfolio and account management teams. Partner with cross0functional stakeholders across Implementation, Onboarding, Marketing and Legal & Compliance in a technical capacity to execute large0scale client transitions, improving scalability while mitigating operational risk. Support the development of a client account management portal by analyzing data requirements, planning the development pipeline, ensuring accurate and timely delivery of portal data feeds to enable a seamless client experience. Collaborate with engineering and data teams to design data models and semantic layers, manage data pipelines, and implement rigorous data0quality checks. Define and manage the product vision, strategy, and roadmap for Data Insights capabilities, ensuring alignment with the needs of Business, Portfolio Managers, Advisors, and Operations teams. Strong understanding of SMA client deliverables, such as performance statements, fact sheets, and related reporting, and oversee processes to generate and validate these materials accurately.

Qualifications: Bachelor0degree in Information Systems, Computer Science, or a related field and three (3) years of experience in the job offered or as an Associate, Analyst or a related role. Must have two (2) years of experience with: Separately Managed Accounts (SMA) business model, including client deliverables including performance statements and fact sheets, along with hands-on experience using the BlackRock Aladdin technology platform; and Implementing and managing data quality checks and controls within financial data environments. Must have one (1) year of experience with: Defining data requirements and working with engineering and data teams to design data models, semantic layers and data pipelines; Collaborating with portfolio managers, operations, onboarding and billing teams to support client transitions; Provide management of financial services projects through determining sizing and scope, establishing target timelines, driving execution of component steps, performing testing, preparing project artifacts, and maintaining stakeholder engagement; and Supporting development of client facing portals in financial services, including defining data requirements and ensuring accuracy to delivered data feeds.

Salary: $136,947 0 140,000

To apply, please click 2Apply2 on this webpage.

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

BlackRock0s 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 0 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 0 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, we0ve provided 0 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.