Enterprise Data and AI Architect, Vice President

Join Mitsubishi UFJ Financial GroupDo you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.OverviewWe are building a high-impact architecture team focused on advancing enterprise data platforms, AI capabilities, and information architecture at scale.The Enterprise Data & AI Architect will lead the design and evolution of scalable, secure, and governed architectures that support analytics, operational workloads, and AI-driven innovation. This role spans data platforms, integration, semantic modeling, AI foundations, and enterprise governance, enabling consistent, reusable capabilities across the organization.This position supports multiple architect tracks, and candidates will be aligned based on their strengths and experience:Data Platform ArchitectureCloud Data & Integration ArchitectureAI & Data ArchitectureKnowledge / Semantic ArchitectureData Product & Information ArchitectureEnterprise Data ArchitectureKey Responsibilities1. Data Platform & Integration ArchitectureDesign scalable enterprise data platforms (lakehouse, data warehouse, streaming, ingestion layers)Define modern integration patterns:ETL / ELTChange Data Capture (CDC)APIs and event-driven architecturesDrive platform modernization, interoperability, and data movement strategies2. AI & Knowledge ArchitectureArchitect AI-ready data foundations for analytics, machine learning, and generative AIDefine and implement:Semantic modelsOntologiesMetadata standardsKnowledge graph frameworksEnable advanced AI use cases including:Retrieval-Augmented Generation (RAG)Semantic searchExplainable AI patterns3. Information & Data Product ArchitectureDesign business-aligned data products and reusable data assetsDefine architectures for:Metadata managementData lineageData quality and governanceEnable trusted, discoverable, and reusable data ecosystems4. Enterprise Architecture & GovernanceEstablish architecture standards, patterns, and reference modelsParticipate in Architecture Review Boards (ARB) and governance processesEnsure alignment with enterprise strategy, risk, and compliance requirements5. Architecture Enablement & CollaborationPartner across engineering, cloud, AI, and governance teamsDevelop reusable:Architecture templatesStandards and guidelinesOnboarding frameworksProvide hands-on guidance to delivery teams across platformsRequired Qualifications8+ years of experience in:Data ArchitecturePlatform ArchitectureAI Architecture or related fieldsProven experience designing enterprise-scale data platforms and integration solutionsStrong expertise in:Data storage, processing, and integration architecturesCloud platforms (AWS, Azure, or GCP)Modern data paradigms (lakehouse, warehouses, APIs, event-driven systems)Demonstrated ability to translate business requirements into scalable architecturesStrong communication and stakeholder engagement skillsExperience working in cross-functional enterprise environmentsAreas of Specialization (One or More)A. Data Platform & IntegrationETL / ELT, CDC, streaming, APIsScalability, performance optimization, resiliencyB. AI & Data ArchitectureAI / ML, Generative AI, RAGAI-ready data foundations and MLOps alignmentC. Knowledge & Semantic ArchitectureOntologies, knowledge graphs, semantic modelingMetadata, lineage, and AI trust frameworksD. Information & Data Product ArchitectureData products and domain-aligned data modelsMetadata strategy and data governanceE. Enterprise Data ArchitectureArchitecture standards, operating models, and governanceARB participation and capability frameworksPreferred / Nice to HaveExperience with modern platforms such as:SnowflakeDatabricksExposure to:Data mesh or federated data modelsExperience in regulated environments (e.g., financial services)Familiarity with:Metadata platformsGovernance toolingKnowledge of:Infrastructure-as-CodeCI/CDMLOps practicesCore CompetenciesStrong systems thinking and architectural design skillsAbility to simplify complex concepts for diverse audiencesExcellent collaboration and cross-functional leadershipAbility to influence without authorityStructured, analytical problem-solving mindsetWhy Join UsThis is a unique opportunity to:Shape enterprise-wide data and AI strategyInfluence architecture across multiple platforms and domainsBuild foundational capabilities that enable innovationWork at the intersection of data, AI, and modern architecture practicesBottom LineIf you're passionate about building scalable data ecosystems, AI-ready platforms, and enterprise architecture frameworks, this role gives you the opportunity to drive real impact at scale.Education:•Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experienceVisa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.The typical base pay range for this role is as follows:New York / New Jersey: $172k – $191k