Enterprise Data and AI Architect, Vice President

Do 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.

Overview:

We are building a high-impact architecture team focused on advancing enterprise data platforms, AI capabilities, and information architecture  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 ArchitectureAI & 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 / ELTChange 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 AIDefine 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 ArchitectureAI 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…