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Data Governance Project Manager

Posted 7 days ago

Take your career in an upward direction with a contract-to-hire opportunity as a Data Governance Project Manager at an innovative global bank in Jersey City NJ or New Castle DE.  Will map incoming data while working with the Data stewards and the business to sort out data dependencies, data quality issues, and build a fairly significant data catalog.

• Maintain and enhance a robust data catalog that meets the needs of technology, business and operations
• Map Data Domain - map (or link) the Data Domains and Data Concept(s) to Data Source(s), and identify the System of Origin, System of Record, and Authoritative Provisioning Point, as applicable
• Maintain the Business Glossary of definitions for data assets
• Identify, track and document the Data Lineage of the data assets
• Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.
• Engage with stakeholders across the organization to understand processes that generate, transform, and distribute data
• Serve as a binding and bridging agent between business analysts, data producers, data engineers, data scientists, and other knowledge workers across various parts of the organization

• 5+ years of business analysis experience.
• Project management skills: very organized with excellent communication to speak with stakeholders for data gathering.
• Understanding of technical and business process mapping, data flows, data tracing and data lineage
• Experience with data analysis, SQL, and query structuring
• Experience building data products or solutions, including data architecting concepts and data governance.
• Must have Financial services experience; prefer Securities experience.

• Skilled in MS Excel to map data.
• Ability to run SQL queries for data extraction.
• Prefer experience with Data Governance toolsets such as Collibra
• Strongly prefer Data Architecting experience
• Experience in data quality techniques and technologies
• Strong knowledge of relational and non-relational data storage
• Operational familiarity in information cataloging and metadata management, optimally with a focus around key measure determination
• Understanding and appreciation for ETL and visualization processes
• Broad-based literacy of all the various technology functions within a large enterprise
• Knowledge of various data handling and privacy regulations
• Exceptional communication skills
• Experience overcoming typical challenges encountered in data use, storage, quality, and control
• Process an arsenal of solutions and workarounds to deal with data ambiguity and mis-categorization problems
• Ability to work with a virtual and remote international team
• Prefer Audit support or performance experience