Cynet Systems
Overview
Pay Range: $60hr - $65hr 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. Responsibilities
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 & Project Phases
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.
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Pay Range: $60hr - $65hr 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. Responsibilities
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 & Project Phases
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.
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