Data Management and Analytics_Assistant Vice President

Job description

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. Role Summary We are seeking an experienced Assistant Vice President (AVP) – Data Engineering & Financial Data Solutions to lead the design, development, and implementation of enterprise-scale data platforms supporting complex financial and regulatory reporting requirements. The successful candidate will possess strong expertise in Data Warehouse [DWH] architecture, financial data modelling, data ingestion frameworks, ETL/ELT processing, reporting layer design, and production support. This role requires direct engagement with business stakeholders throughout the requirements gathering, development, deployment, and post-production support lifecycle. The candidate must have hands-on experience in both on-premises and cloud-based data ecosystems and demonstrate strong technical proficiency in SQL and Python . Key Responsibilities Financial Data Modelling & Database Design Design and develop scalable, high-performance database solutions supporting complex financial and management reporting requirements. Architect logical and physical data models for enterprise data warehouses, data marts, and reporting platforms. Optimize database structures, partitioning strategies, indexing, and query performance for large-volume data environments. Requirements Management & Stakeholder Engagement Engage business users, operations teams, and technology stakeholders during requirements gathering and solution design phases. Translate business requirements into functional and technical specifications. Provide advisory support to business teams on data availability, reporting requirements, and solution capabilities. Act as a key liaison between business users, delivery teams, and production support teams. Data Platform Engineering Design and implement end-to-end data ingestion frameworks from multiple internal and external source systems. Develop scalable ETL/ELT solutions supporting structured, semi-structured, and unstructured data. Build and maintain processing layers and reporting-ready data models following industry best practices. Support Medallion Architecture implementations, including Bronze, Silver, and Gold data layers. Reporting & Analytics Enablement Design reporting and semantic layers supporting BI and analytics platforms. Ensure data quality, reconciliation, auditing, and lineage requirements are incorporated into solution designs. Work closely with reporting and analytics teams to deliver reliable and scalable data solutions. Production Support & Continuous Improvement Provide Level 3 support for production issues and performance optimization. Conduct root cause analysis and implement permanent fixes for recurring incidents. Drive continuous improvement initiatives across data engineering and reporting platforms. Establish monitoring, alerting, and operational controls for data pipelines and reporting solutions. Cloud & Hybrid Data Architecture Design and support hybrid architectures spanning on-premises and cloud platforms. Implement secure, scalable, and resilient data solutions across enterprise environments. Collaborate with infrastructure, security, and governance teams to ensure compliance with organizational standards. Required Skills & Experience Mandatory Minimum 12+ years of experience in Data Engineering, Database Development, Data Warehousing, or Enterprise Data Solutions. Strong experience in designing and developing complex financial data models and reporting solutions. Extensive experience in enterprise database design and development. Advanced SQL development skills of Complex queries, Stored procedures, Performance tuning, Query optimization, and Data modelling Strong Python development experience of Data ingestion, Data transformation, Automation, and Data quality controls Hands-on experience designing and imp lementing of Data ingestion layers, Processing layers, Reporting layers, and Enterprise data pipelines Proven experience supporting business users during Requirements analysis, UAT, Production deployment, and Post-production support Mandatory experience working in both On-Premises data platforms and Cloud-based data platforms Able to lead the team of 10 people along with the individual contributor. Preferred Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, Databricks, OneLake , or equivalent cloud technologies. Experience with Banking, Treasury, Finance, Regulatory Reporting, or Risk Management data. Experience with CI/CD, DevOps, workflow orchestration, and data governance. Knowledge of data security, access control, and regulatory compliance frameworks. Educational Qualifications Bachelor’s degree in computer science, Information Technology, Engineering, Data Analytics, or a related discipline. Relevant cloud, database, or data engineering certifications are advantageous. Key Competencies Financial Data Domain Knowledge Database Design and Optimization Data Engineering Leadership Problem Solving and Root Cause Analysis Communication and Business Engagement Technical leader Delivery Management and Production Support Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.