Data Architect & AI Engineering Lead, Cybersecurity - Assistant Vice President
State Street Corporation (company site, opens in a new tab)15–20 yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of scalable data platforms, pipelines, and AI solutions for enterprise cybersecurity data.
- Develop and operationalize machine learning, graph analytics, NLP, and Generative AI models to enhance threat detection and risk prioritization.
- Partner cross-functionally to establish engineering and responsible AI practices ensuring security, governance, and measurable business outcomes.
Minimum Requirements
- 15 to 20 years professional experience in data engineering, data science, analytics, cloud, machine learning, AI, or related fields.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Cybersecurity, Information Systems, or equivalent.
- Hands-on expertise with Python, SQL, PySpark, Databricks, ETL/ELT, Lakehouse architecture, and cloud data platforms (AWS or similar).
- Experience applying data engineering, analytics, ML, or AI techniques specifically to cybersecurity or large-scale enterprise datasets.
Ideal Candidate Profile
- Senior technical leader with deep practical expertise integrating data engineering and AI/ML within cybersecurity environments.
- Experience in architecting scalable, production-grade data and AI/ML pipelines with strong focus on automation, observability, governance, and operational excellence.
- Proven ability to influence architecture and engineering decisions while effectively communicating across cyber, data, and senior stakeholder groups.