Most Important Skills For A Data Quality Steward At International Bank
Tarsha's main responsibilities as a Data Quality Data Steward involve "monitoring the health of the system" through regular data profiling and checks, identifying and remediating issues through collaboration with various teams. This collaborative process includes root cause analysis, determining appropriate solutions (ranging from "a full-scale, huge project" to temporary patches), and engaging stakeholders to ensure data quality improvements.
Data Quality, Data Profiling, Problem Remediation, Collaboration, Stakeholder Management
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Tarsha Subramaniam
Data Quality Data Steward
International Bank
University of California, Los Angeles
Arizona State University (ASU) - W. P. Carey M.S. Business Analytics
Economics, Mathematics, Data Science, Statistics
Finance (Banking, Fintech, Investing)
Data and Analytics
International Student, Immigrant
Video Highlights
1. Data quality monitoring and issue identification: Regularly profiling and checking data to pinpoint issues and log them for remediation.
2. Collaborative problem-solving: Working with various teams (SMEs, system owners, technology and business experts) to understand issues' impact and develop solutions.
3. Root cause analysis and remediation planning: Investigating the root causes of data problems and planning remediation strategies, considering factors like funding, solution scale (large project vs. patch), and impact on stakeholders and data quality
Transcript
What are your main responsibilities within your current role?
My main responsibilities involve monitoring the health of our system. We run data profiling and data checks on a monthly basis to identify issues.
We then log these issues and work to get them remediated. It's a very collaborative process. We work with data SMEs, system owners, and technology and business experts to understand how issues affect downstream stakeholders and what it will take to fix them.
We work through the entire lifecycle of the problem, starting with understanding the root cause. Once we've identified where the problem lies, whether it's systemic or a process issue, we engage the right teams to figure out how to fix it.
This conversation includes discussing potential funding needs and the type of solution to implement. We consider if it's a large-scale project or a temporary patch fix that can still have meaningful effects on quality and help our stakeholders.