Data Steward

Data StewardThe Data Steward, focusing on Retail and Commercial banking, will be part of a fast paced, dynamic Data Governance team. Bringing their deep knowledge of enterprise data assets, business processes, and Data Governance disciplines, the successful candidate will join our Data Stewardship team in working to embed best in class data governance across Santander’s Retail and Commercial businesses. They will coordinate closely with data owners and technology partners to establish common data definitions, data management processes and data quality rules for Santander’s data assets.Essential Functions:Prepare for and participate in periodic data owner forums, both within and across functional business units, to discuss prioritization, initiative status and issue resolutionMaintain the Business Glossary of data asset definitionsIdentify, track and document the Data Lineage of the data assetsProfile the data assets and build the business rules, in partnership with the business, that define fit-for-purpose Data Quality, ensuring that these data quality rules are built out in Informatica Data Quality toolBe responsible for the ongoing review of Data Quality results and work with business and technology partners to resolve data issues and perform root cause analysis of underlying issuesPartner with technology to ensure that governed data assets are made available to the wider enterprise in our company data repositoriesCreate and maintain business process flows and data mappingsHelp embed a data-driven mindset across the organization (e.g. mentor and educate data users as needed)Required Skills:Experience developing business process flows, data standards and definitionsDemonstrated ability to build out a Business Glossary and to map and track Data LineageStrong SQL skills to profile data and perform ongoing data analysesExperience with the Informatica suite of Data Governance tools is strongly preferredAdvanced knowledge and experience using statistical packages for analyzing data sets (Excel, Access, SPSS)Demonstrated data analysis, data presentation, and data development skills.Project management experience managing multiple project streams and delivering results across cross-functional teams. Software Technology Inc