Sr. Data Steward (Data Governance)

Fractal is an AI firm aspiring to power every human decision in the enterprise. The Data Steward will collaborate on the design and implementation of data governance and quality solutions, ensuring alignment with business objectives and maximizing long-term technology investment.

Responsibilities:

• Perform all responsibilities in accordance with Competencies, compliance, regulatory and Information Protection requirements
• Create data profiling methods that can be applied to variety of data structures and be leveraged by data analysts, business stewards and subject matter experts for self-service data profiling
• Build data profiles and identify insights from the profiles. Review profiles with project leaders, data quality and governance analysts, business data stewards, and technology subject matter experts
• Creating and maintaining data quality metrics for data assets based on the business rules coordinated by Project Managers and Project Data SMEs
• Create and maintain data quality monitoring of identified data quality metrics for data assets. Work closely with Business Data Stewards, Data Quality Analysts, Project Data SMEs to identify the best frequency for measuring quality
• Assist with maintaining a centralized DGO dashboard summarizing the status of data governance and data quality for data assets
• Design data quality remediation procedures and scripts in partnerships with business unit’s functional areas, and the Technology department to ensure that data quality issues are implemented in source systems
• Identify and classify PII or Restricted data in the Data Governance Tool and follow the Personally Identifiable Information PII Data Inventory Standard
• Identify Data Owner(s) and Steward(s) of data areas
• Database column level documentation of all data that is created or stored in the system is required and if does not exist there should be a plan to create. Minimum requires data element name, technical name, location of element in database and application, definition, data type, and sample data
• Identify and log Critical Data Elements (CDEs) in the data governance tool with business definition and technical metadata
• Document column level lineage with transformation logic mapped in the Data Governance Tool
• Collaborate with Data Owners, Business Data Stewards, Data Governance and Quality Analysts, Business and Tech SMEs to ensure proper retention practices are followed in accordance with the Data Purging Standard
• Demonstrate the DGO operating model to Business Data Stewards and data community to enable them to implement data governance and quality practices in a self-service manner
• Deliver training and answer questions from Business Data Stewards of functionality of data governance related tools and proper usage
• Partner with vendors and the Technology department to build source system integrations, participate in the timely implementation of patches and upgrades lead by Technology, coordinate system and user-acceptance testing, and drive the resolution of system issues for DGO-owned platforms