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Global Head of Insight Generation and AI Adoption, Managing Director
Hangzhou, China
·
On-site
·
Full-time
·
1w ago
Benefits & Perks
•Healthcare
•401(k)
•Flexible Hours
•Paid Volunteer Days
•Learning Budget
•Healthcare
•401k
•Flexible Hours
•Learning
Required Skills
AI/ML
Leadership
Data Science
Generative AI
Agentic AI
Enterprise Architecture
AI Governance
Who we are looking for
State Street Investment Management (SSIM)—formerly State Street Global Advisors (SSGA)—is seeking an accomplished senior leader to serve as the Global Head of Insight Generation and AI Adoption. This Managing Director role is critical to shaping, driving, and executing the AI strategy that underpins the Investment Management division’s transformation.
What’s the Value for you
As a strategic partner to the Global Head of Data, Analytics, and AI Services (DAAIS), you will oversee AI services supporting the COO organization across SSIM globally. You will lead global teams responsible for data science R&D, AI/ML modeling, Generative AI, Agentic AI, and enterprise‑scale AI platforms—ensuring alignment with GTS standards and the target AI ecosystem blueprint.
This is a senior global role requiring deep expertise in AI architecture, enterprise platforms, AI governance, and modern ML/GenAI/Agentic AI development, combined with significant leadership experience in asset management.
What you will be responsible for
Leadership & Strategy
- Support SSIM’s AI vision and strategy; lead end‑to‑end implementation of data science capabilities, AI frameworks, tooling, and vendor adoption across all business lines.
- Lead and mentor high‑performing AI teams across the US, China, India, and Poland—building a culture grounded in deep AI expertise and accountability (not traditional staff‑augmentation models).
- Define SSIM’s AI architecture, establish enterprise AI standards, and guide implementation and governance practices.
- Ensure a modular, scalable, and reusable AI architecture to eliminate siloed development and accelerate time to market.
- Champion engineering excellence, technical rigor, and innovation across the organization.
Engineering Excellence
- Innovation & Best Practices: Evaluate, adopt, and standardize cutting‑edge AI capabilities—including Agentic AI, Generative AI, and foundational AI/ML/DL models.
- Quality & Performance: Ensure solutions meet the highest engineering standards through code reviews, testing frameworks, and adherence to industry guidelines.
- Collaboration & Mentorship: Build a collaborative engineering community focused on continuous learning, knowledge sharing, and professional development.
- Scalability & Resilience: Architect systems capable of supporting global business workloads with strong reliability and performance characteristics.
- Security & Compliance: Uphold stringent risk, security, and regulatory requirements; ensure robust data protection and governance.
Execution & Oversight
- Lead global AI core teams with a focus on innovation, delivery excellence, and operating leverage.
- Manage major vendor relationships—including AI platform providers and service partners—ensuring strong integration, service quality, and contractual outcomes.
- Oversee the full AI/ML model lifecycle from ideation to production deployment across a diverse set of use cases and global users.
Education & Preferred Qualifications
- Master’s degree required (Computer Science, Financial Mathematics, or related field); PhD preferred.
- 15+ years in the asset management industry, with deep knowledge of asset management, public and private markets, and distribution/sales.
- 10+ years hands‑on AI experience with a strong track record delivering AI solutions and platforms.
- Proven experience leading global technology organizations across product, data, AI, and engineering domains, with strong delivery execution.
- Strong understanding of the AI vendor landscape and demonstrated experience adopting vendor products and open‑source frameworks to improve scale and growth.
- Exceptional leadership, stakeholder management, communication, and relationship‑building skills.
- Demonstrated ability to translate complex business needs into scalable, user‑centric technology solutions.
- Fluent in English; highly detail‑oriented, results‑driven, candid, and execution‑focused.
Highly Preferred
- Prior data science development and management experience in large financial institution.
- CFA or equivalent credential.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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About State Street

State Street
PublicState Street Investment Management — formerly State Street Global Advisors (SSGA) — is an American investment management division of State Street Corporation founded in 1978 and the world's fourth largest asset manager, with nearly US$4.1 trillion in assets under management as of December 31, 2023.
10,001+
Employees
Boston
Headquarters
Reviews
3.5
6 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.5
Career
3.2
Management
2.8
35%
Recommend to a Friend
Pros
More opportunity than other banks
Career advancement potential
Financial services experience
Cons
Slow hiring process
Poor Glassdoor reviews
Variance in firm quality opinions
Salary Ranges
76 data points
Junior/L3
Junior/L3 · Business Analyst
2 reports
$134,560
total / year
Base
$117,009
Stock
-
Bonus
-
$127,061
$142,060
Interview Experience
5 interviews
Difficulty
2.6
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Phone Interview
4
Technical/Hiring Manager Interview
5
Final Interview/Offer Stage
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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