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The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

Lead design and delivery of trading and portfolio management workflows for SMA Solutions, collaborating with various teams to enhance operational efficiency and define engineering requirements.

The role involves leading the implementation of Aladdin, engaging with clients throughout the process, redesigning workflows, and managing communications related to Aladdin's functionalities.

Lead sales strategy and execution for $500M+ defined contribution clients: originate and pursue institutional mandates, hit net-new revenue targets, articulate BlackRock investment capabilities, develop product fluency, record opportunities in CRM, collaborate cross-functionally, manage account support staff, and mentor junior team members.

The Data Architect & Engineering Lead will design, implement, and manage scalable data systems, lead engineering teams, and ensure data quality and compliance while integrating advanced analytics and ML workflows.

Provide client-facing operational support for SMA Advisors: onboard intermediaries, manage operations queue and hotlines, administer MMA portal/OKTA access, produce Salesforce reports, liaise with technology and business teams, document processes, QA work, and improve client experience.

Lead global go-to-market strategy for Aladdin, cultivate executive relationships, manage opportunity pipeline, drive sales cycles to close deals, expand key accounts, collaborate with product and operations, mentor the business development team, and represent BlackRock values.

Lead product strategy and delivery for platforms used by relationship managers and financial advisors, focusing on productivity and client management. Partner with engineering and business stakeholders, support onboarding in a hybrid NYC office, and contribute to compensation and benefits-aligned performance goals.

Lead enterprise architecture for the Aladdin platform, defining target-state architectures across investment, data, and client domains. Drive cloud modernization, data and AI strategy, governance, resilience, and regulatory compliance. Partner with senior business and technology stakeholders to rationalize platforms, guide integrations, and deliver secure, scalable solutions.

Design, prototype, and deploy AI-powered workflows, agentic systems, and copilots for investment research. Translate business needs into technical specs, productionize prototypes using modern AI tooling (LLMs, RAG, vector DBs, orchestration), evaluate vendors and model risks, drive adoption, and measure impact across BII's research, content, and asset-allocation processes.