Process Improvement, Vice President

State Street•Washington, DC

4d•$110,000 - $188,750

About The Position

The AOP Knowledge Lead is responsible for building and managing the enterprise-wide process knowledge capability that underpins AI-driven automation and agent-based systems within the Agentic AI Program. This role focuses on transforming Agent Operating Procedures (AOPs) into structured, reusable, and machine-executable knowledge assets within a Knowledge Graph, enabling scalable and consistent deployment of automation and AI agent use cases across Global Delivery. The role acts as the owner and steward of AOP knowledge, ensuring processes are standardized, enriched with subject matter expertise, and governed to support operational efficiency, control, auditability, and long-term scalability. It is explicitly designed around the four-step knowledge-led AOP creation methodology (LLM-generated best-practice draft → SME enrichment → consolidation & iteration → governance & sign-off) that forms the strategic foundation of the Agentic AI Program.

Requirements

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
Process standardization and optimization
Structured thinking and problem solving
Knowledge modelling and documentation design
Stakeholder management and influencing skills
Communication of complex concepts in business-friendly language
Governance, control orientation, and attention to detail
Demonstrates ownership and accountability for end-to-end knowledge capability delivery
Focuses on scalable, reusable solutions rather than one-off outputs
Challenges existing processes and drives simplification and efficiency
Operates effectively in a fast-paced, evolving transformation environment
Builds strong collaboration across business, technology, and SME communities
Leads cross-functional teams in a matrixed environment, influencing without direct authority

Nice To Haves

Experience with Knowledge Graphs, AI platforms, or automation platforms
Familiarity with large language models (LLMs) or agent-based systems
Exposure to knowledge-led AOP development methodology, including LLM-generated best-practice baselines and SME enrichment
Understanding of prompt engineering or AI-driven content generation
Experience in regulated financial services environments

Responsibilities

Develop and implement the standard methodology for AOP design and documentation
Convert AOPs into structured, machine-readable process representations consumable by AI agents
Define and maintain AOP templates, taxonomies, and metadata standards, capturing actions, decision criteria, data checks, and resolution options
Drive process simplification and standardization, removing duplication and inefficiencies, and ensuring AOPs reflect target-state operating models rather than as-is processes
Translate AOPs into knowledge graph-compatible structures for reuse across workflows and AI use cases
Ensure process knowledge is modular, reusable, scalable, and interoperable across multiple agentic use cases
Partner with Knowledge Graph specialists, engineering and AI teams to ensure integration of AOP knowledge into automation and agent-based systems, supporting end-to-end AI-driven workflows
Define standards for how process knowledge supports decisioning, automation, and agent execution
Lead SME workshops and knowledge elicitation sessions to capture and embed institutional expertise (client nuances, system quirks, edge cases, hard-won judgment) into AOPs
Consolidate cross-functional knowledge into a single structured capability
Ensure consistency in process logic, definitions, and decision frameworks across operational teams
Collaborate with LLM & Prompt Specialists to refine prompt strategy and improve output quality of LLM-generated AOP drafts
Define and implement quality standards for AOPs and knowledge assets
Establish governance for ownership, versioning, lifecycle management, and change control
Ensure knowledge assets support auditability, traceability, and regulatory compliance
Embed process controls and decision points to support automation and AI execution, and prepare AOPs for Business Service Owner approval prior to encoding into the Knowledge Graph
Enable scalable AI and automation deployment through reusable AOP knowledge within the Agentic AI Program
Support measurable reduction in process design duplication
Support measurable reduction in time to implement automation and AI use cases
Drive standardization across business functions
Track and report on AOP development progress, quality metrics, and adoption rates
Partner with Product Owners, Business Service Owners, business stakeholders, and engineering teams
Align AOP knowledge development to business priorities and outcomes
Communicate process and knowledge design concepts to technical and non-technical stakeholders
Lead adoption of AOP knowledge across operational teams through training, communication and change management activities, influencing without direct authority in a matrixed environment

Benefits

retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks