Data & AI Platform Product Manager – Vice President, APAC Chief Data & Anal 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

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Product Management, Data Platform Strategy, AI/ML Enablement, Data Governance, Stakeholder Management, Product Roadmap Development, Requirement Analysis, Cloud Platforms, API Design, Risk and Control Management, Agile Backlog Management, Technical Fluency, Financial Services Regulation, User Journey Mapping, Data Lineage, Executive Communication

Industry

Financial Services

Description

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 value outcomes across the APAC markets and businesses. As a Data & AI Platform Product Manager - Vice President within the APAC Chief Analytics and Data Office, you will own the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will translate APAC business, regulatory, and user needs into clear product requirements, prioritized backlog/roadmap inputs, and measurable adoption outcomes. You will partner closely with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets. Job responsibilities * Lead 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 * Develop a strong understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business * Triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and define clear problem statements and success criteria * Define 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) * Define non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness) * Own and maintain the APAC technical product backlog; ensure requirements are engineering-ready for feasibility assessment, sequencing, dependencies, and delivery planning * Partner with APAC CAO/CPO and intake forums to prioritize work based on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility * Provide structured APAC inputs into global/regional platform roadmaps, balancing regional needs with global strategy to avoid unnecessary fragmentation * Define measurable outcomes and track success (adoption, usage, value realization, control adherence, production readiness, customer satisfaction), converting learnings into backlog improvements * Communicate priorities, trade-offs, and roadmap implications to senior stakeholders; produce executive-ready product briefs and decision materials Required qualifications, capabilities, and skills * Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field * 8+ years of experience in technical/platform product management, data/AI platforms, enterprise technology products, or related roles * Strong understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption) * Demonstrated ability to translate business problems, regulatory requirements, and technical constraints into product requirements, user journeys, acceptance criteria, and roadmap priorities * Strong technical fluency (data flows, APIs, platform architecture, cloud-based platforms, integration patterns, technical documentation, non-functional requirements) * Experience partnering with engineering teams to shape platform capabilities while maintaining clear product ownership of the “what/why/for whom” * Strong product judgment with ability to make trade-offs across value, urgency, feasibility, risk, and platform strategy * Experience operating in financial services or another regulated environment * Strong stakeholder management and influencing skills across senior business, product, engineering, risk, and governance partners * Strong written and verbal communication skills, including creating product briefs, prioritization recommendations, and executive decision materials * Ability to manage ambiguity, structure complex problems, and drive alignment across regional and global stakeholders Preferred qualifications, capabilities, and skills * Experience with 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 * Track record 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 product 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 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

Own the APAC technical product agenda for the firm's Data & AI platform, translating business and regulatory needs into clear requirements and roadmaps. Partner with global stakeholders to ensure platform capabilities are scalable, production-ready, and aligned with regional governance standards.