
Enterprise Data Modeler Leader
2 weeks ago
Senior Data Architect
">This role is responsible for leading architecture capabilities in the Data Governance Organization, creating, maintaining, and communicating conceptual and logical enterprise data models and data flow diagrams.
">Key Responsibilities:
- Understand and document current end-to-end data flow diagrams of business subject areas and re-architect data ingestion processes into relevant applications
- Collaborate with Data Integration Engineers and Business Owners to standardize B2B and B2C data exchange formats
- Lead the development and implementation of data standards and best practices for data governance, data management, and data quality
- Assist Data Governance Organization team members in the cataloging, defining, securing, and measuring of organizational data and information assets
- Provide guidance on security, privacy, data management, and regulatory compliance around our data assets
- Provide technical vision, leadership, and guidance to architects, analysts, and stewards on the team
- Perform other duties as assigned
Requirements:
- 10+ years of experience as a data professional
- 5+ years working with multiple Database Management Software (SQLServer, Oracle, Snowflake, etc.)
- 3+ years serving explicitly in a Data Architect or Data Modeler role
- 3+ years utilizing data modeling tools (ERwin, ER/Studio, PowerDesigner, etc.)
- 3+ years creating conceptual, logical and physical data model
- Bachelor's degree in relevant area
- Knowledge of enterprise-level business function/capability and data modeling
- Prior experience in a complex, highly integrated services environment
- Prior experience with Master Data Management, Metadata Management, and/or canonical modeling
- Familiarity with Industry Standard and Healthcare Standard data formats (ISO, ANSI X12, HL7, etc.)
- Familiarity with services-based development and technologies (e.g. SOAP, XML, XSD, JSON)
- Familiarity with NoSQL platforms
- Excellent written and oral communication skills
- Proficiency in MS Office (Word, Excel, PowerPoint, Visio)
- Excellent analytical and problem-solving skills
- Candidates need to work well in extended project teams with little oversight
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