Data Engineering and Development VP
Core
Lead the design, development, and deployment of advanced data engineering solutions, AI/ML models, and automation frameworks for fund accounting, custody, and reference data domains.
Role type
VP of Data Engineering and Development (Hands-on Strategist)
Builds
Scalable data platforms, intelligent agents, automation frameworks, and reusable AI/ML pipelines for financial services clients.
Domain
Financial Services (Fund Accounting, Custody, Reference Data) + Data Engineering & AI/ML
Required skills
Data architecture design, Python, Apache Spark/PySpark, Databricks, AI/ML model development, data lineage, data quality controls, regulatory reporting, stakeholder management, team leadership
Preferred skills
Java, FastAPI, PyTorch, TensorFlow, Pandas, LangChain, Azure OpenAI, Hugging Face, OpenAI APIs, API integration, distributed systems, OOPS, design patterns
Technologies
Python, Apache Spark, PySpark, Databricks, FastAPI, PyTorch, TensorFlow, Pandas, LangChain, Azure OpenAI, Hugging Face, OpenAI, LangChain, Fiddler, Postman
Responsibilities
Lead design and deployment of document processing, intelligent agents, and automation frameworks; Define and evolve data architecture patterns for fund accounting and custody; Establish scalable data models and integration standards; Drive architecture decisions balancing domain expertise, governance, and performance; Mentor teams and influence stakeholders; Prioritize initiatives and manage delivery timelines.
Seniority
VP, Strategy & Hands-on IC