United States
Senior Data Governance practitioner with 20+ years’ implementing DG in multiple industry verticals, with hands on Data Governance and Data Quality implementation skills. Experience in leading Data Governance and Data Quality programs. Certified in Collibra DGC. Experience in Informatica DGC, Ab Initio DQE and Talend Data Catalogue. Additionally, experienced in the implementation of best of breed Machine Learning tools to accelerate the implementation of DG/DQ such as Manta, Integris and Databuck software. Managerial and hands on experience developing Enterprise Data Solutions, Big Data migrations, Blockchain technology and Smart Data solutions. An I.T. executive with the proven ability to Structure, Present and Implement Regulatory and Risk Data Management Solutions to G-SIB and SIFI clients on a domestic and global platform. • Program Management; Enterprise Data Governance and Data Quality Design, Implementation and Delivery utilizing Machine Learning • Implement Data Management Solutions to clients on a domestic and global platform. • Hands on experience developing Enterprise Data Management Solutions • Data Migration, Security Master Reference Data Solutions. • Designed Data Governance capability within Big Data Architecture • Project Consolidation and Stakeholder Reporting Data Governance for Regulatory requirements for G-SIB and SIFI clients. • GDPR and CCPA regulatory regime • Machine Learning, Data Quality Solutions; development and implementation • Regulatory Reporting including CCAR, Basel III., Dodd Frank and Risk Data Aggregation • Project Consolidation and Stakeholder Reporting Technology Transformation and Migration • Regulatory gap analysis for SIFI and G-SIB clients • DCAM, SDLC: Agile, RUP, CMMI, Waterfall, ITIL, 6Sigma
• Designed and implemented comprehensive data governance frameworks • Led a cross-functional team to deploy metadata management tools across Azure and AWS, enhancing data accessibility and integrity. • Integrated robotic data streams into an enterprise data lake, establishing standardized taxonomy and lineage tracking for improved data quality.
• Led the data engineering team at National Christian Science Foundation to develop efficient data systems and pipelines for data-driven decision-making. • Implemented infrastructure for the collection, processing, and storage of large datasets to drive organizational insights. • Collaborated with cross-functional teams to optimize data workflows and ensure data quality standards were met.
• Data Governance Program Lead – led International Data Governance effort for global retailer. • Led deployment of Data Governance tools such as Collibra, MITI and Manta. Advised on Best Practices to ensure successful deployment of Tooling. • Created Data Governance Framework and Roadmap and shared with Sr. Management. • Drafted a set of Key Performance Indicators (KPIs) to show progress and determine gaps for remediation • Based upon the success of the Program, many of the artifacts and guidance were adopted by the Domestic Team
• Led Enterprise Data Quality Program effort at multiple Fortune Clients • Help define data at rest, data in motion and front-end controls • Architected and managed a dashboard reporting platform to report on Data Quality metrics showing progress of program • Worked with steering committee and senior management to monitor data quality progress and manage budget • Led Stakeholder meetings to define objective measurements for success and adoption of program goals • Provided status reporting, documented issues and recommended mitigation plans • Advised and implemented best practices with regards to Data Governance and Data Quality • Utilized Machine Learning tool to accelerate the identification of new DQ Rules – based on automated analysis of prescribed dataset(s) • Presented to senior management regarding data ramifications of GDPR and implications with regard to Data Governance
• Created and Implemented Data Quality framework • Managed the Data Governance program defining roles, responsibilities, activities and worked with Stakeholders to define timelines. • Made recommendations to Senior management to ensure compliance with BCBS 239 guidance • Developed a Data Quality scorecard / layout that was implemented by the Development team as per of CCAR • Lead Data Governance councils to ensure ownership and stakeholder buy in of key Data Governance principles.