VP, Enterprise AOP Knowledge & Process

State Street; Washington (District of Columbia); On-site; USD 110,000 - 189,000; Full time

Job summary

State Street seeks an AOP Knowledge Lead to build and manage enterprise-wide process knowledge that underpins AI-driven automation and agent-based systems within the Agentic AI Program.

You will convert AOPs into structured, machine-readable knowledge assets in a Knowledge Graph, lead SME workshops, define standards, and partner with engineering and AI teams to enable scalable deployment across Global Delivery.

Qualifications

• Extensive experience in process design, transformation, or operational excellence within a complex enterprise environment.
• Experience in AOP/SOP standardization, process modelling, or knowledge management.
• Understanding of structured process modelling, taxonomy design, or knowledge frameworks.
• Experience working across multi-functional operational domains (e.g. Fund Accounting, Custody, Transfer Agency, Middle Office).
• Strong stakeholder management and ability to operate across business and technology teams.

Responsibilities

• Standardize and design AOP knowledge, and drive knowledge engineering.
• Translate AOPs into machine-readable representations for AI agents.
• Define templates, taxonomies, and metadata standards for AOPs.
• Lead SME workshops and knowledge elicitation to capture institutional expertise.
• Governance for ownership, versioning, lifecycle management and change control.
• Collaborate with product, engineering and AI teams to enable end-to-end workflows.
• Track progress, quality metrics, and adoption of AOP knowledge.

Skills

Process standardization and优化

Structured thinking

Knowledge modelling

Stakeholder management

Communication skills

Governance and controls

Job description

State Street seeks an AOP Knowledge Lead to build and manage enterprise-wide process knowledge that underpins AI-driven automation and agent-based systems within the Agentic AI Program.

You will convert AOPs into structured, machine-readable knowledge assets in a Knowledge Graph, lead SME workshops, define standards, and partner with engineering and AI teams to enable scalable deployment across Global Delivery.