Data & AI Platform Product Manager – Associate, APAC Chief Data & Analytics Office

The Chief Data & Analytics Office (CDAO) at JPMorganChase is pivotal in advancing the firms 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 firms 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 firms 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

• Bachelors 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 Masters degree or advanced technical/product qualification (a plus)