Manager(Specialist Master - AI & Data Engineering)

• Jan 2022 - Present

• Manage advisory and implementation services of large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging on-premises, web, and/or cloud-based platforms to help companies unlock the value of big technology investments • Manage and mentor offshore/onshore teams, perform performance review quarterly. • Liaison with teams that perform data management, such as Master Data, Metadata, Data Architecture, Data Governance, Data Quality, Data Modeling while utilizing technologies • Manage the full data delivery lifecycle for implementations, including defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines • Drive operational efficiency by maintaining data ecosystems, sourcing analytics expertise for continuous insights and improvements • Develop and maintain contact with top decision makers; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies • Building and establishing Requirement Management Framework. • Create and standardize Requirement Prioritization Framework. • Standardize and operationalize Request Intake Process. • Create and establish Testing and Reconciliation Framework. • Perform metadata model design gap analysis and recommend resolution to bridge gaps. • Define report metrics and build internal/external reporting capabilities. • Create and establish Work Management and Change Management Framework. • Review key data elements and data quality rules, profile data, identify and report existing data anomalies • Implement data quality rules and configure data quality scorecards • Implement end-to-end lineage across multiple platforms • Create and upload Business Glossary, integrate it with DQ rules and data lineage available on Informatica platform

Vice President (Chief Data Office)

• Jan 2020 - Jan 2022

• Responsible to closely work with Business , PM, SMEs etc.• Responsible to work with Financial Crime compliance team to understand the data consumption requirement related to Transaction Monitoring (AML scenarios), Customer Segmentation, Transaction Filtering, Trade Finance, OFAC Screening etc.• Evaluate processes, anticipate requirements, uncover areas for improvement, and develop and implement solutions.• Exercise ongoing oversight of application/processes to ensure alignment with the standards and strategy. • Direct and resolve issues and effectively communicate a course of action. responsible for execution or problem solving in complex and demanding situations.• Create/maintain KDE Lineage and KDE mapping documents.• Responsible to work with Financial Crime Compliance data quality team to review/refine business rules.• Responsible to implement data quality controls.• Work with Financial Crime Compliance data quality team to review all in-scope key data elements .• Apply ingenuity and creativity to problem analysis and resolution in complicated situations.• Advises and train new or lower level personnel.• Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions.• Develop delivery plans and manage the entire lifecycle.• Appropriately assess risk when business decisions are made.• Support Data Quality Problem Management (JIRA).• Analyze gaps and deficiencies within business areas by studying current reporting and analytical practices.• Support data governance Collibra team to maintain Business Glossary, Reference data, Data Dictionary etc. • Support data clean-up and reconciliation through root cause analysis (RCA). • Assist Data Stewards and Business Process Owners• Participate in testing activities• Provide monthly progress report at Executives level.• Assist Chief Data Office with various department activities

Data Quality & Governance Analyst (Chief Data Office)

• Jul 2018 - Jan 2020

Technology Lead/Analyst

• Jun 2011 - Jul 2018

• A dynamic IT professional with years 7+ of experience in Data Quality, Data Governance, Data Integration/management, implementation and Testing of Database and Data Warehouse applications. • Expert in Data Lineage, Data Control, Data Cleaning, Meta-data Management, and Data Dictionary • Skilled in developing Scorecards and Dashboards on Data Governance and Data Quality issues • Experience in Data Analysis, Design, Development, Implementation and testing using Data conversions, ETL and SQL server, Oracle and other relational, non-relational databases. • Good understanding of Data Modeling concepts like Star schema Modeling, Snowflake schema Modeling, Fact and dimension tables. • Solid understanding of Data Warehouse concepts, ETL design and well versed with Data Profiling, Data Migration and Data Conversions. • Worked with Architects, functional Analyst to Design source system logical and physical model. • Involved in mapping designing using Informatica, Ab-Initio and SSIS. • Familiarity with various BI tools like SSRS, Tableau, Cognos, MicroStrategy, OBIEE11g, Crystal reports. • Experience in Agile (SCRUM), Kanban and waterfall methodologies which involves Data integration projects using different ETL tools, Teradata, and Oracle database. • Knowledge on implementing Hierarchies, Relationships Types, Packages and Profiles for hierarchy management in MDM Hub implementation • Strong experience in designing and developing Business Intelligence solutions in Data Warehousing/Decision Support Systems. • Conversant with all phase of Software Development Life Cycle (SDLC) involving Systems Analysis, Design, Development and Implementation. • A result oriented person with a strong analytical mindset and a never-ending zeal to learn and excel with Excellent Time Management. I am also very flexible & versatile to adapt to any new environment with a strong desire to keep pace with latest technologies.