Senior AI/ML Data Engineer - Vice President

Sumitomo Mitsui Banking Corporation•New York, NY

7d•Hybrid

About The Position

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.

Requirements

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
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).
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.
Problem solving and analytical skills, with an initiative-taking and results oriented approach.

Nice To Haves

Exposure to Open AI tools (i.e., Anthropic Claude models) is a plus
Knowledge of Microsoft Sentinel for security information and event management (SIEM) is a plus.
Knowledge of IBM Tivoli Workload Scheduler a plus.
Exposure to PowerBI for data visualization and reporting is a plus.

Responsibilities

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.