Data Products - Associate, APAC Chief Data & Analytics Office

Testing Site - JPMC; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

JPMorgan Chase's Chief Data & Analytics Office (CDAO) APAC is seeking a Data Products Associate to design, develop, and deliver innovative data products that support the firm’s analytics strategy and governance standards.

You will collaborate with cross-functional teams to translate business needs into product features, enable data access via APIs, and help scale enterprise platforms such as Databricks and Snowflake while upholding data governance and risk controls.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
• At least 5 years of experience in data product development, analytics, or technology delivery.
• Experience with the product development lifecycle and technical design principles.
• Experience collaborating with cross-functional teams and supporting stakeholder requirements.
• Strong problem-solving with data strategy or analytics in financial services or related industry.
• Working knowledge of data, AI, and emerging technologies.
• Excellent communication with technical and non-technical stakeholders.

Responsabilités

• Translate business requirements into actionable product features and enhancements, ensuring alignment with data and analytics objectives.
• Collaborate with internal stakeholders to gather requirements, prioritize features, and support data source integration.
• Develop and enable APIs and self-service data access capabilities for users.
• Support data product delivery workflows, ensuring validation, documentation, and publishing per standards.
• Participate in implementing and optimizing enterprise data platforms (Databricks, Snowflake).
• Design solutions for data ingestion, transformation, and analytics using distributed computing and cloud-native frameworks.
• Promote data governance practices, including metadata management and data cataloging.
• Work with compliance and risk teams to ensure privacy, protection, and auditability standards.
• Share knowledge and best practices with team members to foster growth.
• Monitor product performance and user adoption, providing insights for improvements.

Connaissances

Cross-functional collaboration

Data product knowledge

API basics

Analytical thinking

Formation

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field

Outils

Databricks

Snowflake

APIs

Description du poste

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 valuable outcomes across the APAC markets and businesses.

As a Data Products Associate, you will contribute to the design, development, and delivery of innovative data products that support the firm’s data and analytics strategy. You will work closely with cross-functional teams to execute product roadmaps, deliver high-quality solutions, and support the adoption of data products across the business. The role emphasizes operational excellence, collaboration, and continuous improvement within the data product team.

Key Responsibilities

• Assist in executing the data product strategy by translating business requirements into actionable product features and enhancements, ensuring alignment with overall data and analytics objectives.

• Collaborate with internal stakeholders to gather requirements, prioritize product features, and support the integration of internal and external data sources.

• Contribute to the development and enablement of APIs and self-service data access capabilities, empowering users to leverage platform features efficiently.

• Support data product delivery workflows, ensuring products are validated, documented, and published according to established standards and timelines.

• Participate in the implementation and optimization of enterprise data platforms (e.g., Databricks, Snowflake), focusing on scalable data storage, processing, and analytics.

• Assist in designing solutions for data ingestion, transformation, and analytics, leveraging distributed computing and cloud-native frameworks under the guidance of senior team members.

• Promote data governance best practices, including metadata management, data cataloging, and compliance with regulatory requirements.

• Work with compliance and risk teams to help ensure data products and platforms adhere to privacy, protection, and auditability standards.

• Share knowledge and best practices with team members, supporting skill development and collaboration.

• Monitor product performance and user adoption, providing insights and recommendations for enhancements to drive business value.

• Track and report on key performance indicators for data products, supporting continuous improvement and growth.

• Foster a culture of technical excellence and innovation within the data product team.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

• At least 5 years of experience in data product development, analytics, or technology delivery.

• Good understanding of the product development life cycle and technical design principles.

• Experience collaborating with cross-functional teams and supporting stakeholder requirements.

• Strong problem-solving skills, with experience in data strategy, product management, or analytics within financial services or a related industry.

• Working knowledge of data, AI, and emerging technologies.

• Strong analytical skills and attention to detail.

• Excellent verbal and written communication skills; able to communicate effectively with both technical and non-technical stakeholders.