Jobs

APAC Data Intelligence Product Delivery Head, Managing Director
Hangzhou, China
·
On-site
·
Full-time
·
1w ago
Benefits & Perks
•Healthcare
•Insurance
•Savings plans
•Flexible Hours
•Remote Work
•Paid volunteer days
•Learning Budget
•Healthcare
•Flexible Hours
•Remote Work
•Learning
Required Skills
Data science
Python
SQL
Machine learning
AI
Leadership
Quantitative analysis
Gen AI
Who we are looking for
State Street’s Data Intelligence (DI) unit is seeking an experienced Managing Director–level leader to drive the delivery, expansion, and innovation of data‑driven products across the APAC region, with a primary focus on Price Stats and broader economic and data intelligence solutions.
The Data Intelligence team builds and scales differentiated data products leveraging State Street’s proprietary datasets, including Price Stats, the world’s leading source of high‑frequency inflation analytics, and Private Capital indices derived from extensive private equity and private credit data.
This role will play a critical leadership position in expanding DI capabilities in APAC while partnering with global teams to establish and lead a new Poland-based delivery hub, jointly responsible for DI product delivery and execution.
The ideal candidate combines deep data and quantitative expertise with strong people leadership, delivery ownership, and the ability to scale global teams.
Why this role is important to us
You will be joining the Institutional Services function that allows us to deliver a comprehensive, holistic approach to each client relationship — for asset managers and asset owners, insurance companies, and official institutions globally. It means our client-facing functions work together to bring the very best solutions and services the firm has to offer — across all of our locations, products, and capabilities.
Join us if making your mark on the long-lasting client relationships we build is a challenge you are up for.
This is a highly visible leadership role that directly contributes to long‑term client outcomes and the firm’s broader data and analytics strategy.
What you will be responsible for
- Lead the end‑to‑end delivery and evolution of Data Intelligence products, with a strong focus on Price Stats and economic data solutions.
- Own and drive the design, development, and deployment of advanced analytics and machine‑learning solutions using State Street’s proprietary data assets.
- Provide strategic and people leadership to DI teams, including direct responsibility for building, setting up, and leading the Poland-based DI delivery team in close partnership with global stakeholders.
- Oversee methodological research, data quality, and product robustness, ensuring solutions meet high analytical, technical, and client standards.
- Partner closely with technology, research, product, and business teams to scale DI platforms, APIs, and client-facing analytics.
- Act as a senior escalation point and trusted advisor for stakeholders, communicating analytical insights, product roadmap, and delivery progress to senior management and clients.
- Drive talent development, succession planning, and a strong engineering and data culture across regions.
What we value
These skills will help you succeed in this role
- Strong expertise in data science and analytics, including Python, SQL, machine learning, AI, APIs, cloud‑based data platforms, and modern data‑engineering practices.
- Solid foundation in quantitative financial methods, economics, or applied statistics, with experience working on large, complex financial and economic datasets.
- Proven experience translating business and client needs into scalable, production‑ready data products.
- Demonstrated ability to lead and scale global, cross‑regional teams, including offshore or near‑shore delivery models.
- Exceptional communication, stakeholder‑management, and collaboration skills, with the ability to operate effectively at senior executive level.
- Strong delivery mindset, balancing innovation, rigor, and execution.
- Strong understanding of Gen AI and demonstrated experience adopting open‑source frameworks to improve scale and growth.
- 3+ years hands‑on Gen AI experience with a strong track record delivering AI solutions and platforms.
Education & Preferred Qualifications
- 15+ years of experience in data science, quantitative research, data analytics, or related leadership roles.
- Master’s degree in a relevant discipline such as Data Science, Computer Science, Economics, Finance, Statistics, or equivalent.
- CFA charter holder or equivalent qualification is a plus.
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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