What are the responsibilities and job description for the Data Steward position at Prudent Technologies and Consulting, Inc.?
Hi ALL,
Job Title: Data Steward - Python
Location: Bolingbrook IL (Onsite role - 3 days biweekly)
Duration: 6 Months
Mandatory skill: Data Steward: Power BI development skill set, advanced SQL, DAGs/Airflow/Composer, Spark, Python, Collibra DQ
Job Description: The Enterprise Data Steward is responsible for ensuring that data governance best practices are embedded across all ~30 workstreams and their corresponding system(s) involved in the Loyalty Platform Re-platforming & Migration Project. The steward will enable data integrity, quality, and traceability across the data flow from upstream sources through the data lake to enterprise reporting layers.
Primary Scope of Responsibilities includes:
• Source-to-Target Mapping (STTM) Oversight
• Business Glossary & Metadata Definitions
• Data Quality Requirements Documentation & Validation
• Data Lineage Documentation
• Governance Documentation Consolidation for Audit Readiness
RACI Matrix – Key Responsibilities
The following summarizes the RACI roles for key governance deliverables:
Source-to-Target Mapping (STTM): A/R (Data Steward), R (Workstream Leads), C (SMEs), R (ETL)
Business Glossary & Metadata: A/R (Data Steward), R (SMEs), C (Workstream Leads), C (ETL)
Data Quality Requirements: A/R (Data Steward), R (SMEs), C (Workstream Leads), C (ETL)
Data Quality Rules Validation: A/R (Data Steward), R/C (SMEs)
Data Lineage Documentation: A/R (Data Steward), C (SMEs), C (Workstream Leads)
Issue Triage & Remediation: A/R (Data Steward), R (SMEs), C (Workstream Leads)
Governance Documentation (Audit): A/R (Data Steward), C (All Teams)
Deliverables Checklist by Project Phase
Initiation / Planning
Identify Workstream Data Governance Points of Contact
Develop Data Governance Engagement Plan
Define Initial Business Glossary Scope
Create High-Level Data Flow Diagrams
Design
Facilitate STTM Documentation
Collect Metadata & Glossary Definitions
Document Data Quality Requirements
Establish Data Lineage Framework
Maintain Governance Deliverables Tracker
Build / Development
Review and Validate STTM Deliverables
Validate Data Quality Rule Implementation
Document Data Lineage
Track Governance Gaps & Issues
Testing
Support Data Quality Validation (SIT/UAT)
Coordinate Data Quality Issue Triage & Remediation
Deployment / Post Go-Live
Finalize Governance Documentation (ex: Business Glossary, STTM)
Ensure Post-Go-Live Data Quality Monitoring Processes
