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Enterprise Data & AI Architect lead impactful architecture at MUFG, shaping data & AI strategy across banking and tech.
Join a global financial leader to build secure, scalable, AI‑ready data platforms and govern enterprise data.
Overview
We 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 Architecture
Cloud Data & Integration Architecture
AI & Data Architecture
Knowledge / Semantic Architecture
Data Product & Information Architecture
Enterprise Data Architecture
Key Responsibilities
1. Data Platform & Integration Architecture
Design scalable enterprise data platforms (lakehouse, data warehouse, streaming, ingestion layers)
Define modern integration patterns :
ETL / ELT
Change Data Capture (CDC)
APIs and event-driven architectures
Drive platform modernization , interoperability, and data movement strategies
2. AI & Knowledge Architecture
Architect AI-ready data foundations for analytics, machine learning, and generative AI
Define and implement:
Semantic models
Ontologies
Metadata standards
Knowledge graph frameworks
Enable advanced AI use cases including:
Retrieval-Augmented Generation (RAG)
Semantic search
Explainable AI patterns
3. Information & Data Product Architecture
Design business-aligned data products and reusable data assets
Define architectures for:
Metadata management
Data lineage
Data quality and governance
Enable trusted, discoverable, and reusable data ecosystems
4. Enterprise Architecture & Governance
Establish architecture standards, patterns, and reference models
Participate in Architecture Review Boards (ARB) and governance processes
Ensure alignment with enterprise strategy, risk, and compliance requirements
5. Architecture Enablement & Collaboration
Partner across engineering, cloud, AI, and governance teams
Develop reusable:
Architecture templates
Standards and guidelines
Onboarding frameworks
Provide hands‑on guidance to delivery teams across platforms
Required Qualifications
8+ years of experience in:
Data Architecture
Platform Architecture
AI Architecture or related fields
Proven experience designing enterprise-scale data platforms and integration solutions
Strong expertise in:
Data storage, processing, and integration architectures
Cloud platforms ( AWS, Azure, or GCP )
Modern data paradigms (lakehouse, warehouses, APIs, event-driven systems)
Demonstrated ability to translate business requirements into scalable architectures
Strong communication and stakeholder engagement skills
Experience working in cross-functional enterprise environments
Areas of Specialization (One or More)
A. Data Platform & Integration
ETL / ELT, CDC, streaming, APIs
Scalability, performance optimization, resiliency
B. AI & Data Architecture
AI / ML, Generative AI, RAG
AI-ready data foundations and MLOps alignment
C. Knowledge & Semantic Architecture
Ontologies, knowledge graphs, semantic modeling
Metadata, lineage, and AI trust frameworks
D. Information & Data Product Architecture
Data products and domain-aligned data models
Metadata strategy and data governance
E. Enterprise Data Architecture
Architecture standards, operating models, and governance
ARB participation and capability frameworks
Preferred / Nice to Have
Experience with modern platforms such as:
Snowflake
Databricks
Exposure to:
Data mesh or federated data models
Experience in regulated environments (e.g., financial services)
Familiarity with:
Metadata platforms
Governance tooling
Knowledge of:
Infrastructure-as-Code
CI/CD
MLOps practices
Core Competencies
Strong systems thinking and architectural design skills
Ability to simplify complex concepts for diverse audiences
Excellent collaboration and cross-functional leadership
Ability to influence without authority
Structured, analytical problem-solving mindset
Why Join Us
This is a unique opportunity to:
Shape enterprise-wide data and AI strategy
Influence architecture across multiple platforms and domains
Build foundational capabilities that enable innovation
Work at the intersection of data, AI, and modern architecture practices
Bottom Line
If 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 experience
“ Visa 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
depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
Our hybrid work schedule is four days on-site and work remotely one day per week.
MUFG Benefits Summary
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.