Security Data Engineer and Governance, VP

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.

Job Overview:

MUFG is seeking a highly motivated Security Data Architect & Governance person to be part of the Program Governance team to drive the Security Observability technical program with cutting-edge technology to improve security posture. This role drives the requirements, standards and governance across global implementation.

Education:

Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable.

Key Functions:

Data architecture, engineering and analytics using various databases, scripting and AI/ML Different types of data collection, Log data, Scanning data, Vulnerability data, Configuration data, and external intelligence data

Data lake and/or data warehouse to manage the data in centralized or federated models

Security Data Analytics using AI & ML including behavior & Pattern based analysis and maps with MITRE and CRI frameworks.

Data monitoring to detect security issues, anomalies, etc.

Threat hunting

Generate different metrics, usage, KPI, KRI, etc.

Responsibilities:

An expert in data engineering and management using various products such as S3, Snowflake, Databricks, SQL databases, no-SQL databases, Vector/Graph database, etc.

A Security Data expert of various data types collected through different technologies such as SIEM, SOAR, DLP, EDR, ITDR, Cloud Monitoring, etc.

Publish & manage Security Standards and Guidelines around Data Security with the alignment of NIST CSF, CRI, and ISO frameworks

Publish and manage the capabilities and features for security data collection, security, management, monitoring, detection and alert as per Security Standards.

Manage the close relationship with Architecture and Engineering teams to publish the 1-3 years of the roadmap

Manage application onboarding and integration efforts by working with various teams

Publish many documentations using Confluence, Spreadsheets, word, Visio, etc.

Create presentations for different stakeholders including senior leadership

Identify opportunities to enhance the current baseline processes and configuration

Generate different types of reports, usage, performance, KPI, KRI, etc.

Knowledge of various applications and systems that include security products, middleware, Clouds (SaaS, PaaS and IaaS), Containers, etc. to come up with the right approach of the integration

Ability to understand security risks and controls, to analyze various methods of controlling information security problems, determine the strengths and weaknesses of each method and implement the best cost-justified solution

Qualifications:

At least 8+ years of experience in Security Data Architecture, Engineering and Analytics with Security observability technology

In depth knowledge of all Security Observability domains & technologies

SIEM, Vulnerability management, Behavior Analytics, AI & ML based Analytics, Threat hunting, EDR, ITDR, DLP, Baseline configuration management, Cloud monitoring, etc.

Working experience of databases

Snowflake, Databricks, AWS S3, Oracle SQL Database, Graph and Vector databases, etc.

Strong working experience in various scripting:

KQL, SQL, JavaScript,…