Data Management Product Owner Associate

JPMorgan Chase - Jersey City, NJ

Full-time

Jersey City, NJ

Credit Intermediation and Related Activities

About the position

The Corporate Control Management team is seeking a Data Quality / Data Management Product Owner Associate to join their ranks. This role is pivotal in ensuring that data is not only fit for reporting but also adheres to the highest standards of quality throughout its lifecycle. The ideal candidate will possess a robust understanding of data governance frameworks, data quality, and data lineage, coupled with strong analytical skills to navigate complex datasets. The position involves developing automated Data Quality dashboards and reporting solutions, from initial design through to implementation, thereby promoting high-quality, fit-for-purpose data as part of data ingestion and movement strategies to the Cloud. As a Data Management Product Owner/Analyst, you will be responsible for overseeing the ingestion of data into reporting platforms, ensuring that all controls related to data quality are effectively implemented. This includes establishing data reconciliation processes, metadata registration, and data validation, as well as supporting outbound data feeds governance. The Controls Management Controls Room serves as a Firmwide Reporting Utility, providing standardized control-related data that enhances control oversight and efficiency through the automation of operational risk reporting. Your role will be integral in producing business risk insights and ensuring that the data journey from creation to consumption is well-documented and traceable. In this position, you will demonstrate a comprehensive understanding of data governance and quality practices, implementing and supporting Data Quality initiatives. You will define and manage data validation rules for critical data elements, govern and triage Data Quality issues, and leverage various tools to analyze large datasets. Collaboration with business stakeholders and technology teams will be essential to support data quality efforts, and you will be expected to create visualizations and presentations to communicate findings effectively. This role requires a proactive approach to onboarding new data categories and maintaining consistency between source and target systems, ensuring that the data management components are well-integrated and aligned with organizational goals.

Responsibilities

• Demonstrate good understanding of data governance framework, data quality & data lineage.
• Implement and support Data Quality (DQ) practices.
• Define and manage data validation rules/reconciliations for critical data elements and other core attributes by running complex SQL queries.
• Govern and triage DQ Issues as it progresses through the lifecycle.
• Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption.
• Set up data profiling and DQ rules leveraging DQ tools like RDHP, Collibra, Informatica and other emerging tools.
• Leverage productivity tools such as Alteryx and visualization tools such as Tableau to analyze large datasets to draw inferences.
• Collaborate & Build strong partnerships with Business stakeholders & Technology teams to support data quality efforts.
• Define data quality rules for critical data elements based on the Firmwide dimensions and obtain approval from Data Owners.
• Demonstrates Teamwork by collaborating with others to integrate ideas & achieve common goals.
• Set up ingestion of data sources to AWS public cloud and ensure data matches between source and target.
• Review data models to understand data concepts and relationships.
• Perform ad hoc analysis and data extracts using Databricks or Hue/Impala.
• Onboard new data categories on reconciliation framework to ensure consistency is maintained between source and target systems.
• Perform analysis, create visualization, presentations, wireframes and recertification steps on various data management components on ad hoc, quarterly and yearly basis.

Requirements

• Quantitative background (BA/BS in Math, Statistics, Economics, Computer Science, Engineering) with 3 years of experience working with technology partners to develop products.
• Experience using Data Quality tools such as Informatica Data Quality, DQCS, AWS Glue or similar tools is required.
• Experience using analytics and visualization tools/libraries (Tableau, Alteryx, etc.) to distill findings into insightful analytical solutions for stakeholders.
• Experience translating user requests to technology requirements using agile management tools like JIRA.
• Experience working with large complex data sets, understanding algorithms, drawing conclusions, and reporting DQ findings.
• Excellent written and verbal communications skills, able to communicate with a wide variety of functional groups at various levels.
• Effective time management and multitasking skills.
• Strong Excel and PowerPoint skills are a must-have.
• Flexible, adaptable to shifting priorities; able to work in a fast-paced, results-driven environment.
• Experience using metadata management tools such as Informatica/Collibra, RDHP and Jade Catalog.

Nice-to-haves

• An understanding of the agile methodology.
• Experience project managing small to large scale projects.
• Experience working with internal control and risk management is a plus.
• Strong background and understanding of big data and AWS Public Cloud environment and tools.
• Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability.
• Financial services industry background with specific experience in data analysis, DQ reporting or risk and controls.