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Lead Data Quality and Governance Analyst

2 months ago

Denver, United States Global Channel Management Full time



Lead Data Quality and Governance Analyst needs 5-7 years experience

Lead Data Quality and Governance Analyst requires:
Dallas, TX, Denver, CO - 1670 Broadway, Iselin, NJ, USA, Charlotte, NC
Data governance
Data warehouse
SQL

Lead Data Quality and Governance Analyst duties:
Establish a controlled data management environment through planning, funding, prioritization, stewardship, oversight, communication, training, and monitoring data quality by serving as a liaison between the strategic and day to day operational functions
Lead cultural change for data management and governance functions by implementing enterprise strategies, policies and standards within their assigned domains
Communicate and measure compliance and enforce activities and behaviors to achieve adoption the enterprise and line of business directions
Support enterprise governance and stewardship by coordinating with Business Data Stewards within the associated business areas to achieve required governance coverage for domain data
Ensure steward responsibilities are upheld for metadata management, master and reference data management, data quality, data usage, security, privacy, compliance as aligned between the business and IT
Partner to identify and define shared (enterprise level), key business terms, definitions, business rules, quality requirements, critical data elements, and align consistently across the enterprise
Escalate, vet, negotiate and remediate issues and conflicts
Advocate teamwork and be forthcoming and transparent by liaising with Chief Data Office, Business Stewards, and projects for unified direction

Company Description:
Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job

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