Director of Analytics & Data Science Innovation

This is a chance to apply new and emerging concepts in data science, ML and AI, such as Gen AI / LLM, to make a Fortune 500 division more profitable and innovative. The ideal person will have prior hands-on experience in data science, analytics and AI, but a recent history of digital product management, leadership and driving organizational change. You will also foster an environment of mentorship to data professionals and establish best practices within the data science and data engineering teams.

The terms 'data analytics' and 'data science' are thrown around a lot; but this is a chance to use analytics and data science to make money for a close-knit Fortune 500 division. This is an opportunity to work in a highly-innovative data science and analytics culture that is fully supported by a multi-billion dollar business and will afford you the ability to work on new analytics and data science products that are mostly covered with yellow-tape in other organizations.

Communications skills are of high importance, as you will interface with key stakeholders including C-level executives and directors of a Fortune 500 company and also lead 15-20 data and technology professionals.

This role can be fully-remote or hybrid from the NY/NJ area. If remote, you will travel onsite once per quarter.

Minimum Qualifications:

10 years of experience in the fields of data science and data analytics.

Understanding of emerging data science and analytics concepts (i.e. Gen AI / LLM)

Ability to translate business needs into thoughtful data/technology use cases and products.

5+ years of proven leadership experience (this role manages 15-20 data professionals)

Prior experience in predictive analytics using Python, PySpark, etc.

Professional experience in digital product management

Strong SQL experience

DevOps / ML Ops experience is a plus

Experience in an Azure ecosystem is a plus.

Experience with Tableau data visualization.

Excellent communication skills and project management experience

A masters degree in computer science, information systems, statistics, mathematics, or another technical degree, or 10+ years of professional experience in the field.

Permanent