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Enterprise Data Quality Managing Director

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 120,000 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.

Primary responsibilities include the following requiring close partnership with MUFG Businesses and Functions, including Data Officers, Technology and Operations.

  • Define the enterprise data governance, management and quality control program for MUFG Americas.

  • Build and implement the Data Management Integrated Control Framework (DMICF), including detailed data quality processes and controls, across the Enterprise Data Management Architecture to ensure safety and soundness, meet regulatory requirements (e.g., BCBS 239 alignment), and enable analytics to support expense reduction, risk reduction and top line growth.

  • Implement an enhanced ongoing process to identify, prioritize, track, escalate and resolve data-related issues to improve data quality for Tier 1 Risk and Regulatory Reports, Financial Crimes Prioritized Processes such as AML, KYC and Transaction Filtering, and a broader set of reports and key business processes.

  • Lead the development, testing and production of Key Data Elements Data Quality Rule measurement to monitor and improve data quality.

  • Manage and mature the Data Tracing function to ensure data accuracy for Tier 1 Risk and Regulatory Reports and Prioritized Financial Crimes Processes such as AML by executing sample-based data traces from consumption to source systems and source documents (e.g., credit agreements).

  • Define, plan and execute both customer and business/product data strategy, including customer master data management, cross party reference and business/product hierarchy for the enterprise.

  • Lead the development, testing and production execution of Information Risk, Technology and Data Metrics to address regulatory commitments and Tier 1, 2 and 3 Risk Reporting requirements. 

  • Integrate data quality processes and controls into the respective Risk & Control Self-Assessments across the enterprise for ongoing monitoring of design, effectiveness, and sustainability by the Business Unit Risk & Control Officers.

  • Represent the CDO organization in various C-suite Committees, Board and regulator meetings, socialize the data program across all executive levels, and drive stakeholder alignment.

 

Core Functions

  • MUFG Data Risk Management

  • Define, maintain and ensure implementation of the DMICF across the Production, Aggregation and Consumption Layers of the Enterprise Data Management Architecture for the following scope Target Scope Areas per our internal and external data risk management, including the FRB MOU.

  • Key RCSA Business Processes.

  • Front End Production Systems

  • Prioritized Financial Crimes Processes, namely AML, KYC, Transaction Filtering

  • Tier 1, 2 and 3 Risk and Regulatory Reports

  • DMICF Consumption Layer Controls

  • Ensure implementation of the DMICF Consumption Layer Controls for Target Scope Areas including direct ownership of the following controls for the enterprise.

  • Report Inventory

  • Training

  • Change Control

  • DMICF Aggregation Layer Controls

  • Ensure Golden Source, Calculator, Model Identification & Certification for Target Scope Areas.

  • Directly build new Key Data Element (KDE) Data Integrity Testing for MUBK and ensure the implementation of Comprehensiveness Controls and other DMICF Aggregation Layer Controls for the enterprise.

  • Directly execute and maintain KDE Integrity Testing in production for MUBK.

  • DMICF Production Layer Controls

  • Directly perform data profiling and sample-based data tracing on Priority Level 1 Priority KDEs for Tier 1 Risk & Regulatory Reports and Prioritized Financial Crimes Processes to confirm data accuracy.

  • Ensure implementation of the DMICF Production Layer Controls for Tier 1 Risk & Regulatory Reports and Target Scope Areas.

  • Data Quality Incident/Problem/issue Management

  • Provide governance, oversight and monitoring dispositioning of Data Quality Incidents.

  • Ensure material and persistent Data Quality Problems and Issues are identified and remediated within estimated turn-around times (ETT).

  • Maintain and enhance Data Quality tools (DQP (JIRA) and DAA (Data Accuracy Automation) Portal))

  • Execute and maintain DAA based KDE Data Accuracy Validation w/ Line of Business Data Custodians in production

  • Metrics Factory

  • Review and approve metrics onboarding submissions for Information Risk Management, Technology and Effectiveness Metrics.

  • Monthly collection of active metrics, variance analysis, breach commentary, and certification from process owners.

  • Track and report Data Quality Lifecycle Metrics for Tier 1 and 2 Risk & Regulatory Reports and Prioritized Financial Crimes Processes.

  • Party/Customer Master Data Management
  • Define, plan and execute customer data strategy.

  • Business ownership of party master data and enterprise party cross reference applications.

  • Business/Product Data Management

  • Define, plan and execute business/product data strategy.

The typical base pay range for this role is between $245K - $327K 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.

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.

Average salary estimate

$286000 / YEARLY (est.)
min
max
$245000K
$327000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Enterprise Data Quality Managing Director, MUFGUB

Are you ready to step into a leadership role that drives data integrity and governance at one of the world’s leading financial groups? Mitsubishi UFJ Financial Group (MUFG) is on the lookout for an Enterprise Data Quality Managing Director in Jersey City, NJ, who is passionate about making a difference and leading teams toward excellence in data management. In this pivotal position, you will define and implement enterprise data governance and quality control programs that align with MUFG's vision of being the most trusted financial group. You will collaborate closely with Data Officers, Technology, and Operations to create a robust Data Management Integrated Control Framework (DMICF), ensuring that data accuracy meets regulatory standards while supporting analytics for business growth. Your role will also involve leading initiatives to identify, escalate, and resolve data-related issues, enhancing data quality across various financial crime processes like AML and KYC. By fostering a culture of accountability and continuous improvement, you will play a vital role in developing metrics for monitoring Key Data Elements and ensuring compliance with risk reporting obligations. You'll represent the Chief Data Office in high-level meetings, gaining buy-in from executives and stakeholders. If you’re looking to make a meaningful impact in the financial sector and thrive in an environment where innovation meets collaboration, we would love to hear from you at MUFG, where your expertise will thrive and your voice will be valued.

Frequently Asked Questions (FAQs) for Enterprise Data Quality Managing Director Role at MUFGUB
What are the primary responsibilities of an Enterprise Data Quality Managing Director at MUFG?

As the Enterprise Data Quality Managing Director at Mitsubishi UFJ Financial Group, you will oversee the definition and implementation of data governance and management strategies. Your key responsibilities include building the Data Management Integrated Control Framework, ensuring compliance with regulatory requirements, and managing data quality incidents. You will lead efforts to improve data quality for critical reporting processes, integrating data quality controls into risk management practices, and representing the Chief Data Office at executive and regulatory meetings.

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What qualifications are required for the Enterprise Data Quality Managing Director position at MUFG?

To qualify for the Enterprise Data Quality Managing Director role at Mitsubishi UFJ Financial Group, candidates typically need a strong background in data management, governance, and quality assurance. You should possess leadership experience in a financial services environment along with a deep understanding of regulatory requirements related to data quality. A degree in a relevant field such as Computer Science or Data Analytics, coupled with advanced analytical skills and familiarity with data governance frameworks, will be essential for success in this position.

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How does MUFG support the career development of the Enterprise Data Quality Managing Director?

Mitsubishi UFJ Financial Group is committed to investing in the talent of its employees, including those in senior roles like the Enterprise Data Quality Managing Director. The company offers comprehensive training programs, educational assistance, and opportunities to work on high-impact projects. You will also have access to mentorship and leadership programs that can help you grow your career while playing a vital role in shaping the company’s data management strategies.

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What does the work environment look like for the Enterprise Data Quality Managing Director at MUFG?

As the Enterprise Data Quality Managing Director at MUFG, you'll experience a collaborative and innovative work environment that values diversity and fosters professional growth. You'll have the flexibility to work both in the office and remotely, allowing for a work-life balance that enhances productivity. The culture encourages open communication and enables you to take initiative in your projects while working closely with various departments, including technology and operations teams.

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What potential compensation can an Enterprise Data Quality Managing Director expect at MUFG?

The typical base pay range for the Enterprise Data Quality Managing Director at Mitsubishi UFJ Financial Group is between $245K and $327K, depending on your experience and qualifications. In addition to a competitive salary, this role may come with discretionary performance-based bonuses and a comprehensive benefits package, including health and wellness benefits, retirement plans, and paid time off.

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Common Interview Questions for Enterprise Data Quality Managing Director
Can you describe your experience with implementing data governance frameworks?

In your response, highlight specific frameworks you've implemented, discussing the challenges you faced and how you overcame them. Emphasize your strategic approach and any measurable outcomes, such as improved data integrity or enhanced regulatory compliance.

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How do you prioritize and resolve data quality issues?

Discuss the methodologies and tools you use to identify and prioritize data quality issues. Mention any frameworks or processes that you have developed or implemented and how you ensure that critical issues are escalated properly.

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What is your experience with regulatory requirements like BCBS 239?

Talk about your familiarity with BCBS 239 and how it influences data governance practices. Share examples of how you've implemented compliance measures and the impact those measures had on data quality and reporting.

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How do you engage with stakeholders to promote data-driven decision-making?

Describe your experience in working with various stakeholders, including C-suite executives. Discuss strategies you've employed to convey the importance of data quality and governance, along with examples of successful engagement.

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What metrics do you consider most important for determining data quality?

In your response, highlight key metrics that you've used to measure data quality, such as accuracy, completeness, consistency, and timeliness. Explain how these metrics are tied to organizational goals and how you have used them to drive improvement.

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Can you give an example of a significant data-related challenge you've faced in your career?

Share a detailed anecdote of a specific challenge, outlining your approach to resolution. Focus on your problem-solving skills and any lessons learned that you would apply in the MUFG role.

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How do you ensure alignment between data management strategies and business objectives?

Discuss your approach to collaborating with business units to align data strategies with objectives. Highlight how you facilitate communication between technical teams and business stakeholders to achieve alignment.

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What tools and technologies are you proficient in for data management and analysis?

Provide a rundown of specific tools and technologies you have experience with, such as data quality platforms, analytics software, and governance frameworks. Include how you have used these tools to enhance data processes.

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How do you stay current with trends in data governance and quality management?

Talk about your practices for staying updated on industry trends, such as attending conferences, participating in forums, or following relevant publications. Share how you apply this knowledge to your work.

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What leadership style do you believe is most effective in managing data quality teams?

In your response, identify a leadership style that resonates with you, like transformational or servant leadership. Provide examples of how you apply this style to encourage team engagement, collaboration, and innovation.

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DATE POSTED
April 22, 2025

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