Ai Ops Lead (principal Tech Leadership & Strategy) (vp, P5)

Morgan Stanley

New York, United States
Base: $150,000 to $210,000 py; bonus/equity: not s...
On-site
Python for analytics and ai/ml
Sql and snowflake data platforms
Ai/ml production patterns
The AI Ops Lead is responsible for setting AI Ops direction and delivering solutions hands-on within the Enterprise Network Services division

Job Summary

  • The AI Ops Lead is responsible for setting AI Ops direction and delivering solutions hands-on within the Enterprise Network Services division.
  • This role combines strategic leadership with active technical contribution, remaining closely engaged in solution design, development, and operational analytics.
  • Delivery is performed within an Agile development framework, partnering with engineering, operations, and product stakeholders to move capabilities from concept to production.

Matching Summary

The AI Ops Lead is responsible for setting AI Ops direction and delivering solutions hands-on within the Enterprise Network Services division.

Salary

Base: $150,000 to $210,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python for analytics and AI/ML
  • SQL and Snowflake data platforms
  • AI/ML production patterns
  • Grafana, Power BI, Tableau
  • Agile development framework

Nice-to-have

  • AIOps and observability tooling
  • Data engineering patterns
  • MLOps practices
  • POC to production delivery

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
  • Demonstrated success leading complex initiatives
  • Advanced proficiency in Python
  • Strong expertise in SQL and modern data platforms
  • Solid understanding of AI/ML production patterns
  • Hands on familiarity with BI/visualization and observability tooling
  • Practical experience delivering in an Agile development framework
  • Ability to influence architecture and delivery outcomes
  • Experience operating in enterprise scale, controlled environments

Work Rights

Not specified

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