Process Improvement, Vice President

STATE STREET CORPORATION; Washington (District of Columbia); On-site; USD 110,000 - 189,000; Full time

Job summary

STATE STREET CORPORATION is seeking an AOP Knowledge Lead to standardize and manage enterprise-wide process knowledge for AI-driven automation. You will convert AOPs into machine-readable representations and build a reusable knowledge graph, enabling scalable deployment of automation across Global Delivery.

You will lead SME workshops, drive governance and quality controls, and collaborate with product owners and engineering teams to ensure auditability and long-term scalability of knowledge

Qualifications

• Extensive experience in process design, transformation, or operational excellence within a complex enterprise.
• Experience with AOP/SOP standardization, process modelling, or knowledge management.
• Strong stakeholder management across business and technology teams.
• Familiarity with Knowledge Graphs, AI platforms, or automation platforms.

Responsibilities

• Standardize AOP design and documentation methodologies.
• Translate AOPs into knowledge graph-ready structures for reuse.
• Lead SME workshops to capture and embed institutional expertise into AOPs.
• Define governance, versioning, and controls to ensure auditability.
• Enable scalable AI deployment by reusing AOP knowledge across programs.
• Collaborate with product owners, business stakeholders, and engineering teams to drive adoption.

Skills

Process design

Transformation

Operational excellence

Stakeholder management

Governance

Leadership

Knowledge modelling

Tools

Knowledge Graph

LLMs

Automation platforms

Job description

Job DescriptionRole SummaryThe 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.Key Responsibilities1. AOP Standardization and Knowledge EngineeringDevelop and implement the standard methodology for AOP design and documentationConvert AOPs into structured, machine-readable process representations consumable by AI agentsDefine and maintain AOP templates, taxonomies, and metadata standards, capturing actions, decision criteria, data checks, and resolution optionsDrive process simplification and standardization, removing duplication and inefficiencies, and ensuring AOPs reflect target-state operating models rather than as-is processes2. Knowledge Graph EnablementTranslate AOPs into knowledge graph-compatible structures for reuse across workflows and AI use casesEnsure process knowledge is modular, reusable, scalable, and interoperable across multiple agentic use casesPartner 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 workflowsDefine standards for how process knowledge supports decisioning, automation, and agent execution3. SME Knowledge IntegrationLead SME workshops and knowledge elicitation sessions to capture and embed institutional expertise (client nuances, system quirks, edge cases, hard-won judgment) into AOPsConsolidate cross-functional knowledge into a single structured capabilityEnsure consistency in process logic, definitions, and decision frameworks across operational teamsCollaborate with LLM & Prompt Specialists to refine prompt strategy and improve output quality of LLM-generated AOP drafts4. Governance, Quality and ControlsDefine and implement quality standards for AOPs and knowledge assetsEstablish governance for ownership, versioning, lifecycle management, and change controlEnsure knowledge assets support auditability, traceability, and regulatory complianceEmbed 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 Graph5. Value DeliveryEnable scalable AI and automation deployment through reusable AOP knowledge within the Agentic AI ProgramSupport measurable reduction in process design duplicationSupport measurable reduction in time to implement automation and AI use casesDrive standardization across business functionsTrack and report on AOP development progress, quality metrics, and adoption rates6. Collaboration and Stakeholder EngagementPartner with Product Owners, Business Service Owners, business stakeholders, and engineering teamsAlign AOP knowledge development to business priorities and outcomesCommunicate process and knowledge design concepts to technical and non-technical stakeholdersLead adoption of AOP knowledge across operational teams through training, communication and change management activities, influencing without direct authority in a matrixed environmentQualifications and ExperienceRequiredExtensive experience in process design, transformation, or operational excellence within a complex enterprise environmentExperience in AOP/SOP standardization, process modelling, or knowledge managementUnderstanding of structured process modelling, taxonomy design, or knowledge frameworksExperience 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 teamsPreferredExperience with Knowledge Graphs, AI platforms, or automation platformsFamiliarity with large language models (LLMs) or agent-based systemsExposure to knowledge-led AOP development methodology, including LLM-generated best-practice baselines and SME enrichmentUnderstanding of prompt engineering or AI-driven content generationExperience in regulated financial services environmentsSkills and CompetenciesProcess standardization and optimizationStructured thinking and problem solvingKnowledge modelling and documentation designStakeholder management and influencing skillsCommunication of complex concepts in business-friendly languageGovernance, control orientation, and attention to detailLeadership and Behavioral ExpectationsDemonstrates ownership and accountability for end-to-end knowledge capability deliveryFocuses on scalable, reusable solutions rather than one-off outputsChallenges existing processes and drives simplification and efficiencyOperates effectively in a fast-paced, evolving transformation environmentBuilds strong collaboration across business, technology, and SME communitiesLeads cross-functional teams in a matrixed environment, influencing without direct authorityImpactThis role enables the organization to:Establish a standardized process knowledge foundationAccelerate deployment of AI and automation solutions within the Agentic AI ProgramImprove operational efficiency and consistency across functionsBuild a sustainable, scalable capability supporting long-term transformationThe VP-level AOP Knowledge Lead plays a critical role in converting expert knowledge into agent-ready process graphs that form the digital knowledge backbone for AI-driven operations across Global Delivery.Salary Range:$110,000 - $188,750 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our 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 (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.For a full overview, visit https://hrportal.ehr.com/statestreet/Home .About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at StateStreet.com/careersRead our CEO StatementJob Application Disclosure:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.