Primary responsibility and activity for the assessment, improvement, implementation, and support of data quality initiatives across the Novant Health data platform. Assesses the current state of the Novant Health data platform for improvement opportunities within the six dimensions of data quality. Works within and beyond area of control to implement improvement approaches. Engages with team to quantify and articulate the business impact of data quality issues. Analyzes business requirements and translates to technical requirements. Collaborates with Enterprise Architects, Data Platform Integration, other teams, and third-party vendors. Applies knowledge to analyze, evaluate, and architect possible solutions; and presents recommendations to DPS management and business stakeholders. Solutions architecture comprises end-to-end processes, including the application and integration of data quality rules into existing and new processes, which deliver data to consumer layers and downstream systems. Collaborates with various business and technical teams to gather requirements around data quality rules. Configures data quality rules per requirements, following standards and design patterns, applying defensive programming for any code optimization needed. Applies problem-solving skills to address technical issues around the solution, and liaisons with vendors to diagnose and resolve potential defects. Works with Business Analysts and subject matter experts on processes to enable and ensure data quality within the data platform. Leverages profiling methods to properly identify data irregularities and inaccuracies. Creates and executes data quality mappings that will cleanse, de-duplicate, and otherwise prepare project data. Implements data quality processes leveraging Address Verification engine capabilities; including transliteration, parsing, standardization and enrichment for both batch and single request modes. Deploys mappings that will run in scheduled, batch, or real-time environments. Documents all mappings, mapplets, and rules in detail and provides documentation to team members and leadership. Utilizes the data quality tool to design and develop custom objects and rules. Designs matching plans, assists in defining best matching algorithms, configuring identity matching and analyzing duplicates. Develops profiles and scripts for the execution and testing of mappings and workflows to implement data stewardship and exception processing. Creates human task workflows and data quality scorecards to support data remediation. Proficient at writing SQL queries and validating the results of data loads. Develops, monitors, supports, and optimizes data quality scorecards and exception workflows. Tunes processes to meet SLAs for downstream systems. Maintains documentation to assist in troubleshooting production issues and to optimize the support of production processes. Implements best practices, following policies and change management procedures. Develops subject matter expertise of Novant Health’s data quality processes and how it impacts upstream and downstream solutions.
The following qualifications are the minimum necessary to adequately perform this job. However, an approved equivalent combination of experience, education and training which provides the necessary knowledge, skills and abilities could be acceptable, subject to any licensure/certification/legal and/or regulatory requirements.
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