AVP Data Governance Change Management - NJ

Mitsubishi UFJ Financial Group • Jersey City, NJ

2d • Hybrid

About The Position

The AVP, Data Governance Change Management serves as a key point of engagement between the Data Office and enterprise change initiatives. The role assesses proposed changes to business processes, applications, technology, and data for potential impacts on data governance capabilities and enterprise data platforms. It combines data management, systems analysis, technical knowledge, and project delivery experience.

The AVP reviews application architectures, system interfaces, data flows, integration patterns, and project designs to identify impacts to enterprise data capabilities. For changes isolated to one data domain, the role facilitates a transition to the relevant domain team. For changes affecting enterprise platforms, shared capabilities, integrations, or multiple domains, the AVP remains involved to help ensure impacts and dependencies are addressed throughout the project lifecycle.

The position works with enterprise architecture, solution architecture, engineering, application teams, and business stakeholders. It uses enterprise metadata, lineage, catalog, and architecture information to support impact assessments and determines when deeper engagement from a data architect, engineer, platform owner, or domain specialist is needed. The work arrangement is hybrid: four days per week at an MUFG office or client site and one day remotely.

Requirements

• 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 data integration concepts, including APIs, batch interfaces, ETL/ELT, data pipelines, file-based exchanges, databases, data warehouses, and cloud data platforms.
• Ability to interpret logical architecture diagrams, data-flow diagrams, system context diagrams, conceptual/logical data models, and interface documentation.
• Working knowledge of relational data concepts and SQL; ability to understand queries, tables, joins, schemas, and data relationships.
• Understanding of structured and unstructured data, metadata, data lineage, data quality, reference/master data, and data lifecycle concepts.
• Experience with SDLC, technology change, architecture review, or enterprise project governance processes.
• Experience reviewing technical and project artifacts and translating technical changes into business, data, governance, and downstream impact assessments.
• Strong communication skills with engineers, architects, project managers, product owners, and business stakeholders, including the ability to translate for technical and non-technical audiences.
• Ability to investigate an unfamiliar system or process and quickly understand its purpose, data inputs and outputs, dependencies, and consumers.
• Bachelor’s degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

• Experience with enterprise data governance/catalog platforms such as Collibra or comparable metadata-management platforms.
• Familiarity with data lineage and technical metadata tooling.
• Experience with enterprise data warehouses, data lakes/lakehouses, cloud data platforms, or shared analytical environments.
• Familiarity with Snowflake, Databricks, Azure, AWS, Informatica, Kafka, or comparable enterprise data technologies.
• Familiarity with architecture repositories, CMDBs, project portfolio management systems, or enterprise technology inventories.
• Experience in a complex financial-services or other highly regulated technology environment.
• Advanced development skills are not required.

Responsibilities

• Review solution designs, architecture diagrams, data-flow diagrams, interface specifications, system inventories, and project requirements to identify potential data impacts.
• Understand and assess 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 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 data sources, modify data structures or flows, decommission systems, or create dependencies on enterprise data platforms.
• Challenge project assumptions, identify gaps, and determine when additional 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 operational systems and enterprise data platforms.
• Use enterprise metadata, lineage, catalog, and architecture information to support project impact assessments.
• Facilitate transition to the appropriate domain team when changes are isolated to a single data domain.
• Remain engaged throughout the project lifecycle when changes affect enterprise data platforms, shared capabilities, integrations, or multiple domains.

Benefits

• Comprehensive health and wellness benefits.
• Retirement plans.
• Educational assistance and training programs.
• Income replacement for qualified employees with disabilities.
• Paid maternity and parental bonding leave.
• Paid vacation, sick days, and holidays.
• The role may be eligible for discretionary performance-based bonus and/or incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager