Data & AI Platform Product Manager – Associate, APAC Chief Data & Analytics at JPMC Candidate Experience page

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Management, AI/ML Enablement, Technical Product Discovery, Stakeholder Management, Requirement Documentation, Backlog Management, Data Governance, AI Governance, Risk and Control, Technical Fluency, User Journey Mapping, Acceptance Criteria, API Concepts, Integration Patterns, Non-functional Requirements

Industry

Financial Services

Description

The Chief Data & Analytics Office (CDAO) at JPMorganChase 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 a Data & AI Platform Product Manager – Associate within the APAC Chief Data & Analytics Office, you will support the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will help translate APAC business, regulatory, and user needs into clear requirements, well-structured backlog inputs, and measurable adoption outcomes. You will partner with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to help ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets. Job responsibilities * Support APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities * Build and maintain understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business * Help triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and draft clear problem statements and success criteria * Gather and document APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria * Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture), with guidance from senior partners * Contribute to defining non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness) * Maintain the APAC technical product backlog (e.g., writing/refining epics and stories); ensure requirements are clear and ready for engineering feasibility assessment, sequencing, and dependency mapping * Support prioritization discussions by preparing inputs on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility for APAC CAO/CPO and intake forums * Provide structured APAC inputs into global/regional platform roadmaps, helping balance regional needs with global strategy to avoid unnecessary fragmentation * Track adoption/usage and delivery outcomes; help convert learnings into backlog improvements and product documentation updates * Communicate status, priorities, and trade-offs to stakeholders; support the creation of product briefs and decision materials for governance and leadership forums Required qualifications, capabilities, and skills * Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field * 5+ years of experience in product management, technical program delivery, platform/product operations, data/AI platforms, enterprise technology products, or related roles * Working understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption) * Ability to translate business problems, regulatory requirements, and technical constraints into well-structured requirements, user journeys, and acceptance criteria (with support where needed) * Technical fluency across data flows, APIs, platform concepts, integration patterns, and technical documentation; comfort discussing non-functional requirements with engineering partners * Experience partnering with engineering teams to clarify requirements and support delivery, while maintaining focus on the “what/why/for whom” * Sound judgment and ability to weigh trade-offs across value, urgency, feasibility, risk, and platform strategy with guidance from senior product leaders * Experience in financial services or another regulated environment (preferred but not required if you demonstrate strong risk/control mindset) * Strong stakeholder management and collaboration skills across product, engineering, risk, controls, and governance partners * Strong written and verbal communication skills, including drafting product briefs, requirement documents, and prioritization recommendations * Ability to work through ambiguity, structure problems, and drive alignment across regional and global stakeholders Preferred qualifications, capabilities, and skills * Exposure to enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms * Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program * Experience supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions * Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations * Experience defining requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms * MBA, Master’s degree, or advanced technical/product qualification (a plus) 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Responsibilities

Support the APAC technical product agenda for Data & AI platform capabilities by translating business and regulatory needs into clear requirements and backlogs. Partner with global stakeholders to ensure platform scalability and production-readiness across APAC markets.