Data Management Product Owner Associate

Data Management Product Owner Associate

Requirements

• Quantitative background (BA/BS in Math, Statistics, Economics, Computer Science, Engineering) with 3-4+ years of experience working with technology partners to develop products
• Experience using Data Quality tools such as Informatica Data Quality (BDQ/IDQ), DQCS (Data Quality Control Services), AWS Glue or similar tools is experience required
• Experience implementing and supporting Data Quality (DQ) practices by running data profiling and interpreting profiling results for CDEs.
• Experience defining and managing data validation rules/reconciliations for critical data elements and other core attributes by running complex SQL queries
• 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 algorithm, drawing conclusions, and reporting DQ findings
• Excellent written and verbal communications skills. Must be able to communicate with a wide variety of functional groups at various levels
• Effective time management and multitasking skills
• Strong SQL, DataBricks, Excel and PowerPoint is 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

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 (Reference Data Hosting Platform), Collibra, Informatica and other emerging tools
• Leverage productivity tools such as Alteryx and visualization tools such as Tableau to analyze large dataset 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 Owner
• 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 and support and feeds (API/KAFKA/Data Mesh) requirements.
• 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

Preferred Qualifications

• 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