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Leads middle office implementation services for investment management clients within BlackRock’s Outsourced Platform Services team. Responsibilities include designing scalable operating models, coordinating technology and business stakeholders, managing implementation risks and governance, analyzing operational data, serving as a senior escalation point, and coaching teams. The role requires deep investment operations expertise, strong analytical and communication skills, and experience leading large-scale implementations or transformation initiatives.

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.

Lead product marketing for Aladdin Studio, defining positioning, market strategy, launches, adoption programs, thought leadership, and technical enablement. Translate APIs, data workflows, platform architecture, and AI capabilities into compelling narratives for technical and business audiences. Partner with product, engineering, sales, solutions, and client teams to drive adoption, quantify ROI, influence roadmaps, and scale global go-to-market impact.

Support portfolio monitoring for European mid-market private debt: prepare portfolio reviews, monitor borrower covenants and financials, model upsizes/amendments, maintain investment database, assist due diligence and investor reporting, and coordinate with risk, legal, valuation and operations teams.

Prepare quarterly management accounts, NAV calculations, management fees, waterfall computations, journal entries, general ledger updates, financial statements, audit support, tax accruals, regulatory returns, bank reconciliations, liquidity monitoring, and payment releases for private equity funds. The role also supports client reporting, treasury operations, onboarding, and team training.

Design, develop, and maintain highly available, concurrent, fault-tolerant software for BlackRock’s ETF platform. Provide technical leadership across architecture and strategic roadmaps, collaborate with global cross-functional teams, manage stakeholders, and deliver scalable solutions. Responsibilities include testing, code reviews, risk mitigation, level-two support, automation, and continuous improvement. The role requires Java or Python development, microservices, APIs, databases, DevOps, and CI/CD experience, with financial technology experience preferred.

Lead design and delivery of a scalable AI platform for Aladdin: build Kubernetes-based model deployment, cloud-native infrastructure, CI/CD for ML, ensure security/compliance, troubleshoot platform reliability, translate business needs into robust technical designs, and collaborate across global teams.

Leads a globally distributed engineering organization supporting BlackRock’s ETF systems platform. Owns technical vision, architecture, resiliency, delivery, operational excellence, regulatory controls, AI adoption, and talent strategy. Partners with product, business, risk, compliance, and platform teams to scale mission-critical financial systems, improve engineering practices, manage production stability, and develop senior engineering leaders.

Lead the design, development, and optimization of enterprise-scale data platforms and batch or real-time pipelines. Build reusable frameworks, ensure data quality, governance, lineage, security, and observability, and resolve complex production issues. Drive scalability, resiliency, cost optimization, automation, and engineering standards across teams. The Vice President will provide technical leadership, mentor engineers, influence architecture, and promote best practices across multiple teams.

Lead development, governance, deployment, and enhancement of liquidity and pricing analytics across asset classes. Translate business needs into scalable analytics solutions, validate models, partner with stakeholders, automate processes, and mentor junior team members to support investment and risk decisions.