AI maturity
scaling
VP of Artificial Intelligence
VP of AI Operations
Morgan Stanley · Financial Services · 📍 New York, NY
Morgan Stanley is embedding a hands-on senior AI/ML technologist into its Enterprise Network Services division to industrialize AI-driven operational intelligence, automating and optimizing network and infrastructure workflows at scale.
Reports to
CTO
Company stage
public
Source
linkedin
Key responsibilities
- Design and deliver AI-enabled operational capabilities using Python, SQL, and Snowflake
- Lead end-to-end AI/ML workflows: data ingestion, feature engineering, model deployment, monitoring, and iteration
- Build operational dashboards and insights using Grafana, Power BI, and Tableau
- Establish production AI standards including data quality, observability, model performance, explainability, and responsible AI
- Drive Agile delivery: sprint planning, backlog refinement, reviews, and retrospectives
- Translate operational problems into AI/analytics use cases and partner with product owners to prioritize
- Coach engineers and analysts through code reviews, technical mentoring, and best practices
Requirements
- Proven ability to lead complex technical initiatives while staying hands-on in design, code, and delivery
- Strong proficiency in Python and SQL for AI/ML and analytics development
- Experience with Snowflake or equivalent cloud data platforms
- Hands-on experience with MLOps: feature engineering, model deployment, monitoring, and continuous improvement
- Agile delivery experience including sprint ceremonies and iterative product development
- Experience with operational dashboarding tools (Grafana, Power BI, or Tableau)
Signals
- ⚠ No salary disclosed — atypical for a competitive VP-level role in NYC fintech market
- ⚠ Job description appears truncated mid-sentence in 'What You'll Bring' section
- ⚠ Hybrid/remote policy not stated — likely full onsite given operational nature
- ✓ Clear VP/P5 leveling signals institutional commitment and defined seniority
- ✓ Highly specific tech stack (Python, SQL, Snowflake, Grafana, Power BI, Tableau) indicates a real, funded team with existing infrastructure
- ✓ Mandate spans strategy and hands-on delivery — broad organizational authority
- ✓ Morgan Stanley's parallel AI hiring globally (Hong Kong Applied AI Lead) confirms firm-wide AI investment
- ✓ Explicit responsible AI and explainability requirements suggest mature governance culture
Company history
Morgan Stanley posted an Applied AI Lead (Executive Director) role in Hong Kong in May 2026, indicating a coordinated global AI leadership build-out rather than a repeated backfill — this NY AI Ops role appears to be a net-new expansion into operational AI for infrastructure/network services.