Senior AI/ML Data Engineer - Vice President

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The anticipated salary range for this role is between $145,000.00 and $196,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description

The VP, Senior Data Engineer, is a critical role within the Information Security department and will report to the Director, Information Security Data Operations for the SMBC Americas Division.

This VP role will be responsible for designing, developing & deploying cloud data solutions for ISDAD. This

is part of the overall cyber data initiative focusing on building out the security data platform for Information Security.

This individual will lead the design and implementation of AI-driven solutions on Databricks, applying machine learning, generative AI, and advanced analytics to drive automation, intelligence, and operational efficiency across multiple cybersecurity use cases. This individual will also be responsible for developing the data feeds and will be a part of the larger development effort of building out a Cybersecurity Data Lakehouse (CyberDW).

The goal of the CyberDW is to centralize the ISDAD data as well as establish effective data governance around the data sources and its data lineage. This role will collaborate with the developers, data owners, governance leads and business analysts within the Information Technology (IT) department as well as other stakeholders aligned with the applications owned by ISDAD.

Role Objectives

• Design, develop, testing & support of cloud data solutions for the CyberDW catalogue focusing on data ingestion, data quality, data tuning and performance of upstream cybersecurity data sources
• Apply hands-on expertise across the AI lifecycle, including feature engineering, model development, evaluation, deployment, and monitoring using Databricks, MLFlow, and cloud-native services.
• Leverage generative AI, LLMs, and AI-assisted decisioning to enhance detection, classification, prioritization, and response across data protection, insider risk, and security operations workflows.
• Ensure AI solutions are designed with appropriate governance, explainability, model risk awareness, and data controls to support regulated, enterprise-scale cybersecurity environments.
• Indirect leadership and mentorship of junior team members. Able to lead data feed development efforts and design initiatives. Participate in development meetings to align development priorities and objectives, assign tasks, and share experiences and challenges with applications under development.

Qualifications and Skills

• Bachelor's degree in Computer Science, Information Security, Data Management, or related field
• 10+ years' experience in IT development, data governance, data architecture or related roles, preferably in a highly regulated environment such as financial services.
• 5+ years' experience in Azure Databricks, Azure Data Factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Unity catalog repository configuration
• Proficient in data management & data modeling tools (e.g., Collibra DQIM/DQE, IBM Infosphere DA).
• Strong knowledge of CI/CD and DevOps tooling (i.e., Git, Jenkins, Azure DevOps)
• Proficient in SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures
• Proficient in Python, Java or similar high-level server-side languages
• Exposure to Open AI tools (i.e., Anthropic Claude models) is a plus
• Strong knowledge of enterprise Information Security data (i.e., Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, Threat Detection).
• Data knowledge of PaaS/SaaS products (i.e., ServiceNow, Crowdstrike, MS Purview, Proofpoint, WIZ.IO, JIRA, SharePoint, Azure Active Directory, SAI360). Knowledge of Microsoft Sentinel for security information and event management (SIEM) is a plus.
• Understanding of information security frameworks and security controls (i.e., NIST, CIS, CRI Profile) and regulatory compliance (i.e., NYSDFS, GDPR, CCPA).
• Experience with REST API web services and microservice architecture. Strong understanding of ETL/ELT. Knowledge of IBM Tivoli Workload Scheduler a plus.
• Exposure to PowerBI for data visualization and reporting is a plus.
• Problem solving and analytical skills, with an initiative-taking and results oriented approach.

Additional Requirements

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at View email address on click.appcast.io.