AVP Data Governance Change Management - NJ at MUFG in Jersey City, NJ

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. 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. Position Summary The AVP, Data Governance Change Management will serve as a key point of engagement between the Data Office and enterprise change initiatives, assessing changes to business processes, applications, technology, and data for potential impacts to the organization's data governance capabilities and enterprise data platforms. The role requires a strong combination of data management, systems analysis, technical acumen, and project delivery experience . The individual should be comfortable reviewing application architectures, system interfaces, data flows, integration patterns, and project solution designs to identify potential impacts to enterprise data capabilities. Where impacts are isolated to a single data domain, the AVP will facilitate a warm transition to the appropriate domain team. Where changes affect enterprise data platforms, shared capabilities, integrations, or multiple domains, the AVP will remain engaged to ensure impacts and dependencies are appropriately addressed throughout the project lifecycle. Strengthened Technical Responsibilities Review solution designs, architecture diagrams, data-flow diagrams, interface specifications, system inventories, and project requirements to identify potential data impacts. Understand how data moves between source applications, integration layers, enterprise data platforms, analytical environments, and downstream consumers . Evaluate changes to data sources, interfaces, APIs, ETL/ELT processes, data models, feeds, pipelines, and system integrations for potential governance and platform impacts. Identify potential changes to data lineage, metadata, data quality, authoritative sources, data ownership, critical data, and downstream consumption . Partner with enterprise architecture, solution architecture, engineering, and application teams to understand proposed technology changes and their data implications. Assess whether projects introduce new data sources, modify existing data structures or flows, decommission systems, or create new dependencies on enterprise data platforms. Apply sufficient technical knowledge to challenge project assumptions, identify gaps, and determine when deeper engagement from a data architect, engineer, platform owner, or domain specialist is required. Maintain a broad working understanding of the enterprise application landscape and relationships between key operational systems and enterprise data platforms. Use enterprise metadata, lineage, catalog, and architecture information to support project impact assessments. Required Qualifications 5–7+ years of relevant experience in data management, systems analysis, data governance, data architecture, technology delivery, business analysis, or related disciplines. Strong understanding of enterprise application architectures and system-to-system data movement , including upstream and downstream dependencies. Working knowledge of common data integration concepts, including APIs, batch interfaces, ETL/ELT, data pipeli