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AI/ML Capabilities - Vice President, APAC Chief & Data Analytics Office
Singapore
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Mental Health
•Healthcare
•401k
•Mental Health
Required Skills
AI/ML
Data science
Platform development
Technical architecture
Stakeholder management
Communication
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm's data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.
As Vice President, AI/ML Capabilities, APAC, the individual plays a key role in building, enhancing, and scaling AI/ML platforms and tools across the region. The Vice President collaborates with business, technology, and global teams to deliver robust, reusable, and compliant AI/ML capabilities that drive business value. The Vice President helps shape the technical roadmap, supports the adoption of best practices, and fosters a culture of innovation and continuous improvement.
Key Responsibilities
- Collaborate with business and technology teams to identify opportunities for new or enhanced AI/ML capabilities.
- Support the design, development, and deployment of scalable AI/ML platforms, tools, and frameworks.
- Help ensure AI/ML solutions are robust, reusable, and aligned with enterprise architecture and governance standards.
- Contribute to the technical roadmap, project plans, and success metrics for AI/ML capability initiatives.
- Promote the adoption of best practices in AI/ML development, testing, and deployment.
- Facilitate knowledge sharing and continuous learning within the team and across functions.
- Stay informed on emerging technologies, industry trends, and regulatory changes in the AI/ML space.
- Support stakeholder engagement by preparing materials and communicating progress to senior leaders.
- Help ensure compliance with data management, governance, and regulatory requirements.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related quantitative field.
- Formal training or certification in AI/ML, with at least 8 years of experience in data science, technology, or platform development within financial services.
- Strong understanding of AI/ML concepts, frameworks, and tools.
- Experience supporting the delivery and scaling of AI/ML platforms and solutions.
- Technical knowledge to communicate effectively with engineering teams and understand implementation requirements.
- Experience working in cross-functional, regional teams.
- Ability to translate business needs into technical requirements and solutions.
- Strong communication, stakeholder management, and collaboration skills.
- Understanding of APAC regulatory landscape and cultural diversity.
Preferred Qualifications, Capabilities, and Skills
- Experience building or customizing AI/ML platforms and workflows.
- Familiarity with ethical AI/ML practices and governance frameworks.
- Experience in the financial services industry, particularly in APAC.
- Prior experience working with globally distributed technical teams.
ABOUT US
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM:
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total / year
Base
$145,000
Stock
-
Bonus
-
$182,000
$195,000
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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