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

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase 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 value outcomes across the APAC markets and businesses.

As aData & AI Platform Product Manager - Vice President within the APAC Chief Analytics and Data Office you will own theAPAC technical product agendafor the firms Data & AI platform capabilities. You will translate APAC business regulatory and user needs intoclear 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

• Bachelors degreein ComputerScience Business Mathematics Artificial Intelligence or related field
• 8 yearsof 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 Masters degree or advanced technical/product qualification