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Process Improvement, Vice President

State Street

Process Improvement, Vice President

full-timePosted: Aug 26, 2026Updated: Aug 28, 2026Luxembourg, Luxembourg

Job Description

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.The 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.ImpactThis 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 transformationKey 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 authorityAbout 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 Statement

Locations

  • Luxembourg, Luxembourg

Skills Required

  • process designintermediate
  • AOP/SOP standardizationintermediate
  • Knowledge Graphsintermediate
  • large language modelsintermediate
  • regulated financial services environmentsintermediate

Required Qualifications

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

Preferred Qualifications

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

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