Data Steward

Data Steward

The 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 resolution
• Maintain the Business Glossary of data asset definitions
• Identify, track and document the Data Lineage of the data assets
• Profile 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 tool
• Be 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 issues
• Partner with technology to ensure that governed data assets are made available to the wider enterprise in our company data repositories
• Create and maintain business process flows and data mappings
• Help embed a data-driven mindset across the organization (e.g. mentor and educate data users as needed)

Work Experience:

• 5-9 years relevant industry experience

Skills and Abilities:

• Experience developing business process flows, data standards and definitions
• Demonstrated ability to build out a Business Glossary and to map and track Data Lineage
• Strong SQL skills to profile data and perform ongoing data analyses
• Experience with the Informatica suite of Data Governance tools is strongly preferred
• Advanced 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.