Senior Product Manager - AI Investment Operations, Vice President

About this role About This Role: BlackRock is the world’s leading asset management firm, and Aladdin is the central nervous system that enables investment professionals to manage risk, oversee portfolios, and operate at scale. As a $1BN+ technology platform, Aladdin is increasingly leveraging artificial intelligence to transform investment operations—driving automation, improving data quality, and enabling more intelligent decision-making across the post-trade lifecycle. Joining BlackRock means working at the forefront of financial technology alongside a highly collaborative and innovative community. Our culture emphasizes partnership, accountability, and delivering meaningful outcomes for our clients. The Aladdin Product Management team operates at the intersection of business, technology, and data. In this role, you will focus on building AI-powered capabilities that enhance operational efficiency, reduce risk, and streamline workflows across trade processing, reconciliations, settlements, and data management. Your Impact: Define and execute the product vision and roadmap for AI-driven solutions across investment operationsIdentify opportunities to automate and optimize post-trade workflows using machine learning and generative AI (e.g., exception management, reconciliations, trade breaks, settlements)Partner with Operations, Engineering teams to design and deploy AI models that improve accuracy, scalability, and efficiencyBuild intelligent workflows that leverage AI for anomaly detection, data enrichment, and decision supportEngage with clients and internal users to validate use cases, gather feedback, and drive adoption You Are: Passionate about applying AI to solve complex operational challenges at scaleDeeply interested in how investment operations function and where inefficiencies can be removedCurious and proactive, with a willingness to explore new technologies and approachesEntrepreneurial, with the confidence to challenge legacy processes and drive changeCollaborative and energized by working in fast-paced, cross-functional environmentsData-driven and focused on delivering measurable business outcomes Skills / Requirements: 5+ years of experience in Product Management or Business Analysis, with exposure to investment operations or post-trade domainsStrong understanding of the trade lifecycle, particularly post-trade workflows such as reconciliations, settlements, and exception managementExperience building or supporting data-driven or AI/ML-enabled products; Experience working closely with Engineering teams to deliver production-grade solutionsProven ability to apply PDLC best practices, including roadmap ownership, requirement definition, and agile deliveryStrong analytical and problem-solving skills; SQL or Python experience is a plusExcellent communication skills, with the ability to translate complex technical concepts into clear business valueExperience interacting with users and clients, including running demos, gathering feedback, and supporting adoptionExperience in financial services, fintech, or asset management environments is strongly preferred 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. Empl