Data Products - Associate, APAC Chief Data & Analytics Office at JPMC Candidate Experience page

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Product Development, Analytics, Product Management, Collaboration, Problem-Solving, Data Strategy, Technical Design, APIs, Data Governance, Cloud-Native Frameworks, Compliance, User Adoption, Continuous Improvement, Metadata Management, Data Ingestion, Data Transformation

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 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. 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 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

Assist in executing the data product strategy by translating business requirements into actionable product features and enhancements. Collaborate with internal stakeholders to gather requirements and support the integration of internal and external data sources.