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

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)

To apply for this position, please use the following URL:

https://ars2.equest.com/response_id=b2ef3b8bb386dac0b39f5d84a74d450e