Teams at BNY

Lead AI Hub strategy by translating enterprise priorities into AI use cases, business cases, roadmaps, KPIs, and execution plans. Assess AI opportunities, feasibility, value, risks, controls, and adoption readiness while partnering with Product, Engineering, Data, Operations, Risk, Finance, and business stakeholders. Maintain portfolio visibility, conduct market and technology research, prepare executive communications, and independently manage strategic workstreams supporting AI-enabled platforms, automation, and process transformation.

Lead product strategy and the full lifecycle for enterprise data capabilities, including authoritative master data, governance, quality, accessibility, APIs, and reusable data products. Own roadmaps, adoption plans, requirements, delivery outcomes, and performance measures. Partner with Engineering, Architecture, Data Operations, Governance, Risk, Finance, and business teams while influencing senior stakeholders across platforms and hubs. Drive modernization, resilience, data-product adoption, and measurable business value in a complex enterprise environment.

Lead enterprise AI strategy by prioritizing opportunities, developing business cases and roadmaps, shaping AI operating models, and establishing portfolio governance and value measurement. Partner with Product, Engineering, Data, Risk, Legal, Compliance, and business teams to ensure responsible, secure, feasible execution. Translate complex AI topics into executive recommendations while tracking emerging technologies, adoption, controls, and strategic outcomes.