Data Engineer Ai Lead_ Vice President _software Engineering

Morgan Stanley

Mumbai, India
On-site
Genai and llm integration
Data pipeline development
Sql and data modeling expertise
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

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

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.

Skills & Requirements

Must-have

  • GenAI and LLM integration
  • Data pipeline development
  • SQL and data modeling expertise
  • Cloud data platforms (Snowflake)
  • Finance domain knowledge

Nice-to-have

  • Power BI and Apache Airflow
  • Python and Shell scripting
  • Regulatory reporting experience
  • Continuous learning and innovation

Key Requirements

  • 10+ years of data engineering experience
  • 6+ years relevant experience expected
  • Mandatory finance domain knowledge

Work Rights

Not specified

Tailored Resume

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