Key Responsibilities
- Develop and deliver long-term strategic goals for company data architecture and standards in conjunction with various corporate and business functions – Finance & Accounting, Operations, Clinical Affairs, Business Units, Product Development, Regulatory Affairs, External Customers and other key stakeholders.
- Gather and review business requirements and processes, conduct in-person interviews or workshops, profile source system(s) data, documentation, analysis, and design of proposed systems. This specific role focuses on data decomposition and building conceptual models.
- Translate Business Requirements Documents (BRDs) and/or User Stories into viable conceptual, and subsequently, logical data models and design artifacts in conformance with existing standards and conventions.
- Develop mapping documents that demonstrate data lineage and relationships.·
- Establish processes for governing the identification, collection, and use of corporate and clinical metadata; take steps to assure metadata accuracy and validity.
- Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
- Conduct enterprise data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
- Create strategies and plans for enterprise data security, backup, disaster recovery, business continuity, and archiving.
- Performs visualization design; completes challenging visualization projects independently; utilizes good sensibility in visual storytelling.
- Partners with other clinical, BU, business and corporate stakeholders to develop reports that provide meaningful clinical, product and business data and information.
- Assess and determine governance, stewardship, and frameworks for managing enterprise data across the organization in collaboration with the VP of Business Systems & Services.
- Develop and promote data management methodologies and standards that are within regulatory compliance.
- Lead the mapping of enterprise data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
- Build out the company’s data architecture and data models.
- Address enterprise data-related problems regarding systems integration, compatibility, and multiple-platform integration.
- Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of the data architecture.
- Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
- Identify and develop opportunities for data reuse, migration, or retirement.
- Knowing and applying Exactech's Quality Management System and any appropriate federal and international standards.
- Assist and support other employees, teams, and sales personnel as necessary.
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