Consultant

• Implement an enterprise-wide data governance framework, with a focus on data quality, synchronization, and standardization through processes, data monitoring, data remediation, training, and documentation
• Work with data governance organizations, to build process for the day-to-day maintenance of data management and master data management implementations
• Serve as a liaison between the functional data owners and the IT data owners to understand needed enhancements to integrations or data transformations to provide necessary controls and oversight
• Develop and maintain a data dictionary, glossary, and process documentation to be distributed or made available to all employees
• Own and drive a detailed communication plan which includes running weekly, monthly, and quarterly meetings with key data stakeholders and leadership
• Create or enhance data visibility of data quality through analytics dashboards, key KPIs and other metrics and measurements
• Work with function leaders to build enterprise hierarchies for key domains such as Product, Customer, Vendor and Employee to support data analytics, reporting and AI.
• Develop and monitor processes to track data requests, reporting needs, and serve as a point of contact to ensure communication is targeted to appropriate technical and functional resources
• Work with IT to develop and maintain a data inventory in the analytics warehouse, which includes a full list of available data models, model attributes, statical reporting inventory, ad hoc data marts, and user access
• Research and keep up with new technologies and provide recommendations for enhancement to the current infrastructure
• Develop, maintain, and oversee a data reconciliation processes to ensure the analytics data warehouse, data marts and reporting is consistent and reliable
• Work with IT leadership to ensure the proper controls are being managed and reviewed for all data integrations
• Provide project management oversight for the implementation of data strategy and governance projects
• Own the single source of truth conceptual model in the data warehouse and ensure that all enrichments adhere to the model design principles
• Collaborate with IT to ensure privacy/security and access to data is properly aligned to organizational standards
• Provide thought leadership and support executive decision making around the use of data, setting enterprise standards, and enforcing data governance policies across the organization

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