Project Manager-Data Quality

Key Responsibilities:

• Manage Project Delivery: Lead end-to-end data projects from planning to launch using Agile methods, managing timelines, budgets, and team resources.
• Drive Data Quality: Build and enforce data quality rules, profiling standards, and monitoring checks to ensure business data is accurate and reliable.
• Fix Data Issues: Set up processes to track, investigate, and fix data errors, missing information, or pipeline failures quickly.
• Align Teams: Act as the bridge between technical teams (Data Engineers, Architects) and business leadership to explain project status and data risks clearly.
• Set Standards & SLAs: Define clear Data Quality rules (SLA/KPIs) for incoming and outgoing data across all business systems.
• Manage Risks & Dependencies: Identify project risks early, remove roadblocks, and keep executive stakeholders updated.

Required Tech Skills & Experience:

• Project Tools: Agile, Scrum, Jira, Confluence, MS Project
• Data Quality Knowledge: Data profiling, root-cause analysis, data lineage, and automated testing rules
• DQ & Governance Tools: Informatica DQ, Great Expectations, Monte Carlo, Collibra, or similar tools
• Technical Basics: Solid understanding of SQL, ETL pipelines, Data Warehouses, and Cloud Platforms (AWS/Azure/Snowflake)
• Certifications (Plus): PMP, CSM (Scrum Master), or CDMP (Certified Data Management Professional)