Data Security Specialist, VP

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.

• 5-7 year of experience in data security and protection
• Must have experience with data classification and labeling tools including BigID and Microsoft Purview
• Proven experience in Data Security Posture Management (DSPM), including the assessment, management, and improvement of an organization's data security posture
• Experience in implementing DSPM tools and technologies
• Experience in identifying and mitigating data security risks through continuous monitoring and evaluation of data security practices
• Proven experience in data classification and labeling technology, controls, and processes
• Familiarity with data security considerations for AI/ML systems, including privacy, data leakage, and regulatory risk
• Experience working with stakeholders such as Data Privacy, IAM, Security Engineering, and Data Security teams
• Experience in testing alignment with governance standards and cybersecurity frameworks and advising on data security strategies
• Experience defining and reporting metrics and KPIs/KRIs/KCIs
• Cybersecurity experience in a regulated banking or financial environment preferred

• Strong understanding of DSPM principles, including data discovery and classification across traditional data stores and AI-related data pipelines, risk assessment, policy management, incident response, and compliance management
• Ability to define and implement data classification patterns for scanning tools
• Ability to implement adaptive security measures based on data sensitivity and regulatory requirements
• Proficiency in using DSPM tools to gain visibility into data assets and user activities, and to enforce least privilege principles
• Proficiency in reporting and analyzing data security metrics
• Experience in developing and executing data security strategies
• Knowledge of data protection and data loss prevention (DLP) technologies
• Ability to adapt data classification requirements to security tools
• Experience with integrating data classification results with security tools for enrichment and enhanced security
• Ability to apply data classification and labeling controls to datasets used for AI training, testing, and inference
• Ability to integrating data classification results with downstream systems to enable safe data usage in analytics and AI-enabled platforms

• Excellent communication and collaboration skills
• Strong analytical and problem-solving abilities
• Ability to work independently and as part of a team
• Strong organizational and project management skills
• Ability to manage multiple priorities and meet deadlines
• Attention to detail and commitment to quality
• Strong presentation and writing skills

The Data Security Engineer role plays a critical function in enabling the secure use of data across emerging technologies, including artificial intelligence and machine learning (AI/ML), by ensuring that sensitive, regulated, and proprietary data is appropriately discovered, classified, governed, and protected throughout its lifecycle. This position is responsible for assessing and managing the organization's data security posture by continuously evaluating current security practices and identifying vulnerabilities. Responsibilities include creating and managing data classification and labeling technology, controls, and processes, working closely with various stakeholders to gather requirements, define patterns, and ensure compliance with governance standards. The specialist will also be responsible for reporting and analyzing data security metrics, advising on data security strategies, and overseeing the execution of data labeling initiatives. Specifically, the position is responsible for:

• Implement and manage DSPM tools to enhance data protection and compliance with regulatory requirements


• Collaborate with various stakeholders to ensure the alignment of DSPM initiatives with overall data security strategies


• Adapting data classification requirements to security tools


• Integrating data classification results with security tools for enrichment and enhanced security


• Working with stakeholders such as Data Privacy, IAM, Security Engineering, and Data Security teams to gather data classification detection requirements


• Defining patterns for scanning tools and ensuring alignment with governance standards


• Reporting and analyzing data security metrics to inform decision-making


• Advising on data security strategies and best practices


• Overseeing the execution and progress of data classification and labeling initiatives


• Assess and mitigate data security risks associated with AI and machine learning use cases, including training data, fine-tuning datasets, inference inputs, and outputs


• Partner with AI, analytics, and engineering teams to ensure data used in AI-enabled solutions complies with classification, privacy, retention, and regulatory requirements


• Support secure adoption of generative AI technologies by enforcing controls that prevent sensitive data exposure, unintended data persistence, or unauthorized reuse


• Contribute to the definition of guardrails for AI data usage, including policy alignment for internal, third-party, and cloud-hosted AI services


• Ensuring compliance with data security and protection regulations and standards


• Liaison with governance, legal, and business divisions to maintain and update classification and labeling requirements


• Presenting findings and strategies to stakeholders

• Certified Information Systems Security Professional (CISSP)


• Certified Information Security Manager (CISM)


• Any relevant certifications in data security, protection, and governance

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

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

• New York / New Jersey: $121–$194


• Non–New York / New Jersey: $121–$180

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.