Senior Data Architect with ML & AI

Description

Continue the effort of building NYSIF Enterprise Data Warehouse (on-premise), consolidating and retiring multiple legacy Data marts with the goal of eliminating unnecessary duplication, establishing single source of truth, improve data quality, increasing efficiency in BI team and reduce maintenance cost. The hired consultant will focus on creating dashboard to facilitate claims/underwriting insight and decision making. Consultant also will develop predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting into NYSIF Enterprise Data Warehouse. The consultant will assist in recommending DataMart and Data warehouse, and Data Governance the best practices and procedures. Design graph data models for the purpose of developing fraud detection predictive models using Neo4j.

Duties

• Provide recommendations, guidance, and actual implementation for new data marts, as well as improving and consolidating existing Data marts (on-premise).
• Participate and contribute to data warehouse projects throughout the project lifecycle
• Establish written best practices, procedures and generally provide guidance on data modeling design
• Create and maintain up-to-date documentation for all supported DW/DM, ETL
• Plan, create, modify, maintain, test and implement code in support of any of the following:
  • Source System extraction processes for the Data Warehouse.
  • ETL processes.
  • BI Dashboards and reports. (R, Python)
• Develop and maintain Spotfire systems (including prediction models written in R/Python, TERR and automation services,),
• Automation of source system data extraction processes and data loading of the Data Warehouse.
• Operationalize prediction models
• The consultant will adhere to NYSIF's application development standards, including, but not limited to, project management methodology, SDLC (software development life cycle), Enterprise Architecture standards and the IT governance process. Support the BI Data Warehouse using TIBCO Spotfire, IBI Data Migrator.
• Build knowledge graph using Neo4j, Cypher, GDS

Mandatory Requirements

• Experience (15+ Years)
• Makes high-level design choices and dictates technical standards, including software coding standards, tools, and platforms. Designs multi-leveled architecture or component interactions of a large-scale software system.

Requirements