
Senior Enterprise Data Strategist
3 days ago
Sr Data Architect plays a pivotal role in spearheading the development of data architecture capabilities for an organization.
This position involves designing, maintaining, and communicating conceptual and logical enterprise data models and data flow diagrams.
Key Responsibilities- Evaluating and documenting current end-to-end data flow diagrams of business subject areas and re-architecting data ingestion processes into relevant applications
- Collaborating with Data Integration Engineers and Business Owners to standardize B2B and B2C data exchange formats
- Leading the development and implementation of data standards and best practices for data governance, data management, and data quality
- Assisting the Data Governance Organization team members in cataloging, defining, securing, and measuring organizational data and information assets
- Providing guidance on security, privacy, data management, and regulatory compliance around data assets
- Offering technical vision, leadership, and guidance to architects, analysts, and stewards on the team
- More than 10 years of experience as a data professional
- Over 5 years working with multiple Database Management Software (SQLServer, Oracle, Snowflake, etc.)
- At least 3 years serving explicitly in a Data Architect or Data Modeler role
- At least 3 years utilizing data modeling tools (ERwin, ER/Studio, PowerDesigner, etc.)
- At least 3 years creating conceptual, logical, and physical data models
- Bachelor's degree in a 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
The ideal candidate will have a strong understanding of data governance principles, data modeling techniques, and database design methodologies. They should also possess excellent interpersonal and communication skills, as they will be working closely with cross-functional teams to implement data standards and best practices.
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