Senior Data Management Analyst

Overview

Support iHUB data management capabilities across the Commercial Banking and Lending data domain, focusing on data quality, governance, metadata, data analysis, controls, and remediation.

What you'll do

• Lead and participate in moderately complex data quality, data governance, metadata, and data management initiatives supporting business processes and downstream data consumption.
• Analyze complex datasets using SQL to identify data defects, perform root-cause analysis, and drive remediation of data quality, integrity, process, and control gaps.
• Analyze, assess, and test data controls and data systems to ensure compliance with data quality, risk, and governance standards and procedures.
• Define and evaluate data quality metrics, execute data quality assessments and audits, and provide recommendations to management on the overall state of data and metadata quality.
• Assess new data sources and develop approaches for measuring, monitoring, and maintaining data quality.
• Partner with business, technology, data product, and data integrity stakeholders to coordinate solution design, remediation planning, and execution.
• Develop clear business metadata, data dictionaries, requirements, specifications, and supporting documentation.
• Support data analysis and reporting associated with applicable regulatory requirements.
• Participate in cross-functional initiatives supporting broader enterprise data governance strategies and priorities.
• Serve as a central point of coordination for moderately complex remediation efforts and provide clear communication and management reporting to stakeholders and experienced leaders.
• Lead project teams and provide guidance and mentorship to less experienced team members.

What you'll need

• 4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through work experience, training, military experience, or education.

Nice to have

• Experience working with Commercial Banking and Lending data, with exposure to platforms such as iHUB, AFS, LIQ, AIMS, CHOICE, LUCAS, WCDIR, WCIS, PBC, or LVT.
• Strong understanding of data quality, data governance, metadata, data controls, and data integrity practices.
• Strong written and verbal communication skills, including experience developing effective management reporting and PowerPoint presentations.
• Regulatory reporting experience such as FR Y-14, FR Y-9C, Basel, FFIEC, FR 2052a, or BSA/AML.

Details

• Location: Hyderabad, India.
• Apply strong domain expertise and data, business, and process analysis to support effective solution design and informed decision-making.
• Consult with business and data stakeholders to understand data needs, risks, and quality expectations within the assigned area of responsibility.
• Work effectively across business and technology teams in a collaborative, cross-functional environment.