Ropin Singh

Data Governance Analyst / Senior Business Analyst with 10+ years of experience supporting Data Governance, Data Quality, Metadata Management, Data Lineage, and Data Management initiatives across highly regulated environments. Skilled in data profiling, data validation, SQL analysis, data mapping, metadata documentation, data quality monitoring, and governance reporting using tools such as Collibra, Microsoft Purview, Databricks, and Tableau. Experienced in gathering business requirements, maintaining data dictionaries and governance artifacts, supporting data migration and system integration initiatives, and collaborating with business and technology stakeholders to improve data accuracy, consistency, compliance, and operational efficiency.

Strong expertise in process documentation, stakeholder management, data stewardship, and continuous improvement of enterprise data governance practices.

Sr. Data Governance & Data Management/Business Analyst at Ameriprise Financial (2025-01 – Present)

• Supported enterprise data governance initiatives by maintaining data standards, governance documentation, business glossaries, and metadata repositories to improve data consistency and usability across business functions.
• Performed data profiling, validation, and quality assessments using SQL and Databricks to identify data anomalies, inconsistencies, duplicate records, and data integrity issues across critical datasets.
• Collaborated with business stakeholders, data stewards, and technical teams to gather requirements, document data definitions, and support data mapping activities for governance and integration initiatives.
• Maintained and enhanced metadata management solutions using Collibra and Microsoft Purview, ensuring accurate data lineage, business glossary definitions, and data asset documentation.
• Executed data quality monitoring processes, developed quality scorecards, and assisted in remediation efforts that improved data accuracy, completeness, and consistency across enterprise systems.
• Supported data migration and system integration projects by validating source-to-target mappings, performing reconciliation testing, and documenting data transformation requirements.
• Developed and maintained business requirements documents (BRDs), process flows, use cases, data dictionaries, and governance procedures to support enterprise data management programs.
• Partnered with cross-functional teams including data engineers, architects, compliance teams, and business users to ensure adherence to established data governance policies and standards.
• Conducted root-cause analysis of data discrepancies and collaborated with stakeholders to resolve data quality issues while supporting audit and regulatory compliance requirements.
• Contributed to continuous improvement initiatives by analyzing governance processes, identifying workflow efficiencies, and automating governance reporting and data quality metrics dashboards.

Senior Data Governance Analyst at Citi (2023-06 – 2024-12)

• Supported enterprise data governance programs by maintaining governance standards, stewardship documentation, data ownership records, and control frameworks across critical business domains and applications.
• Collaborated with Data Owners, Data Stewards, business users, and technology teams to identify, track, and remediate data quality issues, ensuring compliance with governance policies and operational standards.
• Gathered, analyzed, and documented business requirements, process workflows, data mappings, and governance procedures to support data management, reporting, and system integration initiatives.
• Performed data validation, reconciliation, and quality assessments using SQL, Excel, and governance tools to identify data inconsistencies, monitor KPIs, and support issue resolution efforts.
• Maintained metadata repositories and analyzed technical metadata within Collibra, ensuring accurate data definitions, business glossary terms, lineage documentation, and governance artifacts.
• Developed governance dashboards, scorecards, and operational reports to monitor remediation progress, data quality metrics, SLA adherence, and governance performance indicators.
• Created and maintained SOPs, process documentation, workflow diagrams, data dictionaries, and audit support materials to improve documentation quality and operational consistency.
• Partnered with cross-functional business, compliance, and technology stakeholders to support continuous improvement initiatives, strengthen data governance processes, and enhance data accuracy across enterprise systems.

Senior Data Management Analyst at Wells Fargo (2022-07 – 2023-04)

• Supported enterprise data governance and data quality initiatives by maintaining governance standards, stewardship processes, metadata documentation, and data management controls across critical business domains.
• Collaborated with business, data, and technology teams to gather requirements, document data definitions, and support data mapping activities for governance, compliance, and system integration initiatives.
• Performed data profiling, validation, and quality assessments using SQL and governance tools to identify data inconsistencies, validate business rules, and improve data accuracy.
• Maintained and validated metadata repositories using Collibra, Metadata Hub, and related governance platforms, ensuring accurate business glossary definitions, technical metadata, and lineage documentation.
• Developed and maintained process documentation, data dictionaries, governance procedures, workflow diagrams, and operational reports to support audit readiness and regulatory compliance requirements.
• Partnered with cross-functional stakeholders to monitor data quality metrics, resolve data issues, support governance reporting, and drive continuous improvement of enterprise data management processes.

Senior Data Analyst at Samsung (2020-11 – 2022-06)

• Developed and maintained KPI dashboards, operational reports, and business intelligence solutions to analyze sales performance, operational metrics, and business trends, enabling data-driven decision-making across multiple business units.
• Performed data validation, quality assessments, and reporting reconciliation activities to ensure the accuracy, consistency, and integrity of business-critical data used in executive reporting and performance measurement.
• Utilized SQL, business intelligence tools, and metadata repositories to analyze datasets, validate reporting requirements, and support data governance and reporting accuracy initiatives.
• Collaborated with sales, operations, analytics, and leadership teams to gather business requirements, document reporting processes, and improve data quality and operational reporting workflows.
• Created and maintained performance reporting documentation, KPI definitions, data mappings, and process artifacts while supporting continuous improvement efforts focused on reporting efficiency, data consistency, and business insight generation.

Data Privacy Integration & Remediation Analyst at Wells Fargo (2020-01 – 2020-09)

• Onboarded Data Dictionaries and Companion Guides across domains and applications, ensuring appropriate due diligence and compliance with enterprise data governance standards.
• Partnered with Application Business Owners and Technology Managers to identify and document sensitive and personal data elements across enterprise applications.
• Supported analysis of application artifacts and templates to validate data classifications, governance requirements, and remediation activities.
• Managed and administered JIRA and Confluence workflows, including creation and tracking of JIRA issues for application data sets, workflow documentation, and audit reporting.
• Collaborated with domain teams to prioritize remediation efforts, validate artifacts produced by application owners, and support delivery strategies for data governance initiatives.
• Supported implementation of automated data scanning and discovery capabilities and facilitated recertification processes for governance templates and application data controls.

IT Business Analyst V at Bank of America (2018-10 – 2019-09)

• Conducted data validation, current-state assessments, and data quality analysis across 11 transaction domains to identify audit gaps, operational risks, and governance compliance issues supporting Enterprise Data Management Governance (EDMG) initiatives.
• Collaborated with business, governance, and technology teams to gather requirements, document workflows, perform root cause analysis, and develop remediation plans to improve data integrity and operational continuity.
• Performed exploratory data analysis (EDA) using Python to identify trends, process gaps, and performance improvement opportunities while supporting risk mitigation and operational efficiency initiatives.
• Developed analytical models, automated reporting solutions, and data lineage visualizations using Python, VBA, Teradata, and Graphviz to support backup validation, impact analysis, and governance reporting.
• Produced data quality dashboards, governance documentation, metrics reports, and stakeholder presentations to support audit readiness and governance compliance initiatives.