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 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 is strongly preferred; advanced development skills are not required.
• Understanding of structured and unstructured data, metadata, data lineage, data quality, reference/master data, and data lifecycle concepts.
• Experience working 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 ability to communicate with engineers, architects, project managers, product owners, and business stakeholders and translate across technical and non-technical audiences.
• Demonstrated ability to investigate an unfamiliar system or process and quickly develop an understanding of its purpose, data inputs, outputs, dependencies, and consumers.

 

Preferred Technical Experience

• 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 platforms and technologies such as 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 working in a complex financial-services or other highly regulated technology environment.

 

Education:

• Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

 

“Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.”

 

The typical base pay range for this role is as follows:

• New York / New Jersey: $ 110-142K
• Non–New York / New Jersey: $ 105-130K

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes 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, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

 

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.