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Chief Data Modeling Officer
3 weeks ago
This role leads architecture capabilities for the Data Governance Organization. The Senior Enterprise Data Architect is responsible for creating, maintaining, and communicating conceptual and logical enterprise data models and data flow diagrams.
This individual will have a deep understanding of organizational Customer, Supplier, Product, Financial, and Employee master data, as well as the data lifecycle of this content in ancillary applications.
The Senior Enterprise Data Architect will work closely with Data Analysts and Stewards to inventory, define, classify, and measure data quality of organizational data assets. This person will partner with Business Owners and IT Leads to simplify and streamline the data environment.
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 cataloging, defining, securing, and measuring 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.