Data Engineer Ai Lead_ Vice President _software Engineering
Morgan Stanley
United Kingdom
Hybrid
Genai and llms integration
Etl automation and data enrichment
Technical leadership and mentorship
Morgan Stanley is seeking a Lead Data Engineer at the Vice President level to join their Finance Operations & Risk Tech team in the UK. The role involves managing and developing data architecture, ETL processes, and leveraging AI technologies, particularly in financial contexts
Job Summary
Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
Matching Summary
Match Score: 85
Morgan Stanley is seeking a Lead Data Engineer at the Vice President level to join their Finance Operations & Risk Tech team in the UK. The role involves managing and developing data architecture, ETL processes, and leveraging AI technologies, particularly in financial contexts.
Skills & Requirements
Must-have
GenAI and LLMs integration
ETL automation and data enrichment
Technical leadership and mentorship
Cloud data platforms (Snowflake)
Finance and investment banking domain knowledge
Modern SDLC and agile methodologies
Nice-to-have
Power BI and Apache Airflow experience
Python and Shell scripting
Regulatory and financial reporting exposure
Driving innovation and GenAI adoption
Continuous learning and business impact
Key Requirements
10+ years of experience in data engineering
6+ years of relevant experience
Strong domain knowledge in finance
Experience with GenAI, Copilot, or AI-based solutions