Associate Director, Analytics Automation & Reusability

Job description

Job Description Summary #LI-Hybrid This role is responsible for building the tools, frameworks, and accelerators that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability. By transforming manual, one-off analytics into automated, production-grade solutions that can be reused across multiple use cases, this leader dramatically increases the speed and consistency of analytics delivery while reducing technical debt and enabling citizen data scientists to leverage enterprise-grade. This position will be located at the East Hanover site and will not have the ability to be located remotely. This position will require 20% travel as defined by the business (domestic and/ or international). Job Description: Key Responsibilities: - Design and implement workflow automation solutions for AI/ML and analytics processes (Airflow, dbt, Azure Data Factory). - Build CI/CD pipelines for data science code, enabling automated testing, deployment, and monitoring of ML models. - Design MLOps infrastructure to streamline the model development, validation, and deployment lifecycle. - Build and maintain a library of reusable AI/ML components (...