Data Governance Lead

Role & responsibilities

Ability to communicate effectively with senior business stakeholders. Has done similar work in enterprise data governance groups implementing change and DG best practices.
• Worked and understands and can measure various dimensions of Data Quality (using tools and without)• Self-driven and a quick learner of different tools, technologies, concepts and frameworks and is comfortable in driving it independently with little to no direction• Worked and understands Meta Data concepts as well as Lineage concepts• Worked and understands Business Glossaries and related topics• Ability to communicate effectively with senior business stakeholders. Has done similar work in enterprise data governance groups implementing change and DG best practices. • Has experience with Master Data, Data Domains. Can clearly articulate what is master data and what is the mastering process. Ideally should have worked on data governance of customer and product data and should be able to talk about challenges on data definitions, taxonomy, and data quality• Experience implementing data governance standards in particular metadata and data quality. Can clearly articulate how they have made data quality controls effective.• Has worked with complex databases and applications legacy and newer technologies• Has worked on big strategic data governance projects• Comes with a financial domain understanding• Can rationalize multiple meanings for the same data definitions• Can solicit input from business teams and Data Stewards to standardize business glossary terms• Can manage work-streams and defined pieces of work• Utilize tools (Collibra) to analyze, query and manipulate data according to defined business rules and procedures. Collibra work experience is a must• Proficient in SQL and Regex. Experience with Programming basics in Java, COBOL, BIG Data (Hadoop) will be an advantage.• Proficient in reporting tools like Power BI and Tableau• Any experience on the IBM Info Sphere Information Analyzer tool will be a plus • Understanding of Data Models, Schemas, DDLs• Experience in Data Warehouse projects is a plus• Exposure to File Transmissions• Trouble Shooting on the Data Gaps • Excel: importing and manipulating data • Usage of Excel advance features