# Applied AI Lead, Executive Director, Enterprise Technology Services at Morgan Stanley

Morgan Stanley is hiring an Applied AI Lead, Executive Director, Enterprise Technology Services in Hong Kong, Hong Kong SAR China. Level rates it Works on AI ●●●○; you can [apply on Morgan Stanley](https://jobsbylevel.com/go/aafeb38f-118d-403e-a26c-a4d882f0d577?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Hong Kong, Hong Kong.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Hong Kong, Hong Kong
- Posted: May 19, 2026
- Apply: https://jobsbylevel.com/go/aafeb38f-118d-403e-a26c-a4d882f0d577?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-ai-lead-executive-director-enterprise-technology-services-at-morgan-stanley-2c7047

## Prepare for this job

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## Description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Applied AI is a function within Enterprise Technology Services (ETS) responsible for driving the strategic adoption, enablement, and governance of Generative AI capabilities across Morgan Stanley's business units. The team serves as the connective tissue between the GenAI platforms and tooling developed within ETS and the business divisions that consume them - ensuring that AI solutions are deployed responsibly, effectively, and in alignment with the firm's risk posture and regulatory obligations. We are seeking a highly experienced and technically grounded Executive Director to lead Generative AI strategy, adoption, and enablement across Morgan Stanley's Asia business units - spanning Institutional Securities Technology (IST), Investment Management (IM), and Private Wealth Management (PWM). This individual will serve as the primary regional point of contact for GenAI capabilities, bridging the firm's central technology platforms with the specific needs, priorities, and regulatory realities of the Asia region. The successful candidate will operate at the intersection of technology delivery and business strategy, driving adoption of AI-powered tools across the full stack - from developer-facing coding agents to end-user productivity tools to AI-native analytics platforms - while maintaining a rigorous, up-to-date view of all GenAI use cases in flight and in the pipeline. The role requires program management discipline, stakeholder influence at the senior-most levels, regulatory awareness across multiple Asia-Pacific jurisdictions, and the technical depth to engage on architecture, implementation, and rapid prototyping when required. Required Qualifications Experience: 12+ years of progressive experience in technology strategy, program management, or technical product management within financial services, with at least 5 years in a senior leadership capacity (VP or above) at a global financial institution. Stakeholder Management: Demonstrated track record of building trusted relationships and influencing outcomes with senior stakeholders (MD/ED level and above) across technology, business, risk, legal, and compliance functions - without direct reporting authority. Proven ability to navigate matrixed organizations and drive consensus across competing priorities. Communication: Exceptional written and verbal communication skills, with proven ability to translate highly technical AI/ML concepts into clear, actionable narratives for non-technical business leaders and regulators. Comfortable presenting to senior leadership forums, regional management committees, and global strategy councils. Program Management: Strong program management discipline, including experience managing multi-workstream initiatives with cross-functional dependencies, competing priorities, and ambiguous ownership. Proficiency in structured intake processes, portfolio-level reporting, executive status communication, and risk/issue escalation frameworks. Technical Foundations: Demonstrated technical roots in software engineering, data engineering, or applied AI/ML - with sufficient depth to engage credibly on LLM architecture (transformer models, Key Responsibilities Drive regional rollout, adoption tracking, and optimization of

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