CVP, Director of Data Science, Geospatial Analytics

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website (https://www.newyorklife.com/careers/corporate/data-science).

 

In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company. We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company.

 

We are currently expanding our team of data scientist who work on geospatial data science products. The role reports to Marina Printz (https://www.linkedin.com/in/marina-printz), who currently leads the Marketing, Service and Geospatial Data Science team. A good understanding of predictive analytics (including the process of building and deploying models) and technology is essential.

 

Examples of Geospatial Data Science products that have built and are currently working on are below.

• Trade Areas Optimization
• Sales Opportunity

 

Responsibilities

• Leads a geospatial practice within CDSAi. This includes use case development and associated stakeholder management in various business areas. It also means talent development, infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, vendor selection/collaboration and governance (in collaboration with model governance team and Legal).
• Independently leads geospatial data analysis projects from proof of value concept, design, business review meetings with internal and external clients deriving requirements/deliverables, reception, and processing of data, performing analyses, developing maps and mapping applications to final reports/presentations, communication of results and implementation support.
• Leads geospatial data scientists ensuring best in class methodologies and deliverables across the project lifecycle.
• Demonstrates to stakeholders how geospatial analytics can be implemented to maximize business benefits. Provides support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of proposals.
• Drives the use of geospatial analytics within New York Life by active internal partnership management, discovering business opportunity and creating business value by executing on high-priority projects.
• Utilizes advanced geospatial / GIS techniques to create advanced and creative geospatial analyses and mapping applications to address business objectives and client needs. 
• Works closely with business and technology partners in designing, building and implementing AI/data science solutions.
• Closely collaborates with data scientists on joined projects, and mentors data scientists on utilizing GIS methods and workflows.
• Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification and implementations of GIS projects.
• Partners with technology to problem solve technical issues within the ESRI ecosystem.
• Develops scripts and tools for managing data, including designing data standards, structures, forms, and reports within ESRI environment. Formats and generates a variety of GIS products including custom maps and mapping applications. Uses cartographic and design principles throughout the process.
• Maintains, updates and designs shapefiles, geodatabases, and metadata; Extracts, cleans, adjusts and converts data and information from non-GIS systems into GIS formats; Uses scripts, queries, and other tools to obtain and/or correct missing or incorrect spatial and attribute data.
• Stays abreast of new trends and technology in geospatial analytics and GIS applications, and insurance industry trends. Functions as the geo analytics expert in meetings with other internal areas and ext