Enterprise Transformation Intern

About the role

MUFG’s Enterprise Transformation Intern will support the Asia Enterprise Transformation Department from 11 January to 30 June 2027. The role covers transformation portfolio management, process analysis, dashboards, research, stakeholder workshops, and a defined project, culminating in recommendations and a final presentation to MUFG and an academic advisor.

Responsibilities

• Support Transformation Management Office setup and maintain initiatives, milestones, owners, dependencies, risks, issues, decisions, and outcomes.
• Prepare analysis and materials covering process re-engineering, delivery governance, AI acceleration, change, service ownership, and architecture enablement.
• Analyse processes, document pain points, map hand-offs and decisions, and identify simplification, standardisation, automation, and experience opportunities.
• Build management information, dashboards, and presentations using Excel, PowerPoint, and Power BI, explaining progress, blockers, trends, and outcomes.
• Research digital transformation, AI, data, operating models, architecture, and banking practices; translate findings into concise recommendations.
• Support workshops by preparing agendas and pre-reads, recording decisions and actions, following up with owners, and maintaining the knowledge repository.

Internship Project And Outcomes

• Complete a defined project addressing an agreed MUFG business challenge or opportunity with measurable outcomes.
• Improve visibility of transformation milestones, dependencies, actions, and outcomes through accurate portfolio records and reporting.
• Develop recommendations supported by data, research, stakeholder engagement, and business, risk, and technology considerations.
• Present final findings and recommendations with methodology, analyses, data sources, proposed next steps, and a handover pack.

Requirements

• Undergraduate student, preferably in Year 2 or Year 3, studying a relevant business, technology, finance, economics, or engineering discipline.
• Strong analytical and structured problem-solving skills, interpreting qualitative and quantitative information into clear insights and recommendations.
• Proficiency in Microsoft Excel and PowerPoint, with clear written and verbal communication skills.
• Ability to manage tasks independently, maintain accurate records, meet deadlines, and collaborate cross-functionally with guidance.
• Interest in digital transformation, business transformation, AI, data, technology strategy, operating models, customer journeys, or financial services.
• Demonstrated integrity, confidentiality, professional conduct, and willingness to follow information-security, data-access, risk-management, and responsible-AI requirements.

Application

• Submit a CV and cover letter through MUFG’s early careers website.
• Only shortlisted applicants will be notified.