Insights Architect

<p><strong><span>Position : </span>Insights Architect</strong><br /> <strong>Location : Hartford, CT</strong><br /> <br /> <b><u>Informatics Capabilities (Practical Knowledge of) Required:</u></b></p><p><span></span></p><p><br /> • Audit and Reconciliation processes <br /> • Data Lineage concepts (code traceability) <br /> • Data Quality best practices and techniques<br /> • Data Warehouse and DataMart environments<br /> • Complex history generation and storage<br /> • Application architectural componentization and rationalization techniques and process<br /> • Architecture principles and best practices<br /> • UML component modeling and design processes and best practices<br /> • The delineation between architecture and high level design<br /> • NoSQL environments including tools<br /> • Meta data and the use of it by applications<br /> • Semantic data, technology, and solutions<br /> • Very large database environments<br /> • Big data environments and architecture including tools<br /> • Leadership of large and varied technical teams<br /> • Information Delivery and Business Intelligence application design<br /> • Data Analytics and Measures Data Enrichment Processing<br /> • Data Mining techniques for Insights using verified business facts<br /> • Business user classifications (ie. Adhoc, Novice, and Power Users)<br /> • Healthcare and Insurance Services industry knowledge<br /> • Complex source-to-target mapping rules and techniques<br /> • Data modeling of relational and dimensional databases<br /> • Multi-dimensional environments and modeling<br /> • Application modeling tool expertise (IDA, RSA respectively)</p><p><b><u>Data Science Capabilities (Practical Knowledge) Required:</u></b><br /></p><p><span>•                    Data Discovery and Exploration techniques and processes<br />•                    Data Mining techniques for Insights using a wide set of source data<br />•                    Determining the nature and usability of certain data<br />•                    Techniques to apply data analysis for Business Requirements creation<br />•                    Sand-Box environments and best practices<br />•                    Structured, Unstructured, Semi-Structured Data techniques and processes<br /></span></p><p><b>Experience Required<br /></b><br />Candidate should have a minimum of 15 years of demonstrable architecture experience in a large organization.  The experience should contain at least 10 years of architecture support combined of these environments: warehouse, datamart, business intelligence, and big data.<br /></p><p><span></span></p><p><span></span></p><p><span></span></p><p><span></span></p> <p>Akash Singh<br /><br /><span>Phone: +</span>1 (904 240-4265<span>)<br /><br />Akash(dot)singh(at)nlbservices(dot)com</span><br /></p>