Senior Director, Data Engineer
Core
Lead high-performing engineering teams to define the future of data platforms and banking in the cloud, focusing on identity analytics, access decisioning, and AI/ML security.
Role type
Senior Director, Data Engineering & Platform Strategy
Builds
Scalable, data-driven solutions for real-time identity decisioning, threat detection, and secure AI agent workloads.
Domain
Financial Services / Cloud Data Engineering / AI Security
Deliverable
production ML models | infrastructure | product features
Required skills
Data engineering strategy, people management, architectural decision-making, low-latency event-driven system design, ML infrastructure design, MLOps practices, LLM/GenAI production application, data governance, cyber risk management
Preferred skills
Public cloud workload design (AWS/Azure/GCP), distributed data workloads (Spark/Databricks), real-time streaming pipelines, data observability, NoSQL databases, data warehousing solutions, Agile development, reusable data products
Technologies
Python, Java, Scala, AWS, Microsoft Azure, Google Cloud, EMR, Spark, Glue, Databricks, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Snowflake, Redshift, Monte Carlo, Splunk
Responsibilities
Own enterprise strategy and multi-year roadmap for identity analytics and AI/ML security platforms; Lead and grow a 50+ person organization across Data Engineering, ML, and Security; Set technical direction hands-on by reviewing architectures and model designs; Architect low-latency, event-driven systems for real-time identity decisioning; Design and maintain robust ML infrastructure and pipelines; Drive evolution of MLOps practices; Build intelligence layer for agentic and non-human identity; Apply state-of-the-art LLM and GenAI techniques in production; Operate automated governance function; Lead enterprise readiness for emerging cyber risk from frontier AI models.
Seniority
Senior Director, hands-on technical leadership with strategic oversight
