VP, Enterprise Data & AI Architecture

MUFG Bank, Ltd; Jersey City (NJ); Hybrid; USD 172,000 - 191,000; Full time

Benefits offered by this job

Comprehensive health and wellness benefits

Retirement plans

Educational assistance and training programs

Paid maternity and parental leave

Paid vacation and holidays

Job summary

MUFG Bank, Ltd is seeking an Enterprise Data and AI Architect to lead the design of secure, scalable data architectures in Jersey City, NJ. Ideal candidates should have over 8 years of experience in data architecture and AI, strong stakeholder engagement skills, and a background in cloud platforms.

This position focuses on advancing enterprise data platforms and AI capabilities, enabling innovation across multiple architecture tracks. A Bachelor's degree in a related field is required, along with expertise in data integration and modern data paradigms.

Qualifications

• 8+ years of experience in Data Architecture or related field.
• Proven experience designing enterprise-scale data platforms.
• Strong communication and stakeholder engagement skills.

Responsibilities

• Design scalable enterprise data platforms.
• Architect AI-ready data foundations for machine learning.
• Establish architecture standards and participate in governance processes.

Skills

Data Architecture

AI Architecture

Cloud platforms (AWS, Azure, GCP)

Data integration

ETL / ELT

APIs

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Databricks

Job description

MUFG Bank, Ltd is seeking an Enterprise Data and AI Architect to lead the design of secure, scalable data architectures in Jersey City, NJ. Ideal candidates should have over 8 years of experience in data architecture and AI, strong stakeholder engagement skills, and a background in cloud platforms.

This position focuses on advancing enterprise data platforms and AI capabilities, enabling innovation across multiple architecture tracks. A Bachelor's degree in a related field is required, along with expertise in data integration and modern data paradigms.