Jobs and Careers

Enterprise Data and AI Architect, Vice President

New Jersey Office - 210 Hudson Street, United States, United StatesRemotefull_timeVerifiedPosted 12 Jun 2026

💰 $191,000/yr($172,000/yr – $191,000/yr)

About the role

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 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