Abhishek S.

VP - Data Management/ Governance at BNP Paribas

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Abhishek S.'s Summary

Data leader with over 14 years of diversified experience implementing action-oriented data solutions and strategies for business growth and excellence. Provide services in Data Management, Governance, Strategy & Architecture, Data Product Roadmap, Data Catalogue, Master Data Management, Data Privacy, Data Quality, Data Stewardship, and Business Process Management. Research, design, and deliver enterprise data governance solutions for chief data officers, chief technology officers and data community. Experience developing data management strategy, roadmap and maturity assessment model. Define governance structure, policy, standards & processes framework around enterprise data management. Drive data management initiatives to foster data driven culture and literacy in the organization. Experience delivering data architecture, governance and metadata management solutions. Proficient with Collibra Data Intelligence platform, ABACUS - Data Architecture tool & information management platforms, asset model, workflow, design, development and implementation. Summary: •Experience with BASEL, Dodd – Frank Act, CCAR, Liquidity Coverage Ratio (LCR), call reports, BCBS239 & KYC/AML regulations. •Proficient in planning, analysis, elicitation, data modelling & documentation techniques to define business & functional requirements, use cases, UML, business process flows, data flow diagrams, context diagrams, transformation & E2E solution. •Expertise in enterprise data cartography, data lineage, data dictionaries, business glossaries, reference data, data catalogs and metadata management. •Proficient in methodologies such as agile – scrum, agile at scale, iterative, waterfall, TDD, BDD & DevOps engagement. •Perform advisory roles with clients, build trust and provide recommendations to help address business needs. •Expertise in data profiling, data analysis, building KPIs & GL recon certification, completeness, accuracy, consistency & other data quality controls. •Expertise in data analysis using SQL, no SQL, SAS, python, data virtualization tools, power BI, OBIEE, ETL/ELT, analytics & reporting tools such as Informatica power center, Microsoft sql server suite. •Data souring from heterogeneous data sources including API web services (SOUP, REST). •Knowledge of Next Gen. technologies & environments such as hadoop , AI & ML.