About this role

Develop and keep relevant a vision for team in a fast-paced, complex and evolving arena.
Foster a high-performing team of AI/ML engineers and drive a culture of excellence.
Define and execute a comprehensive MLOps roadmap.
Manage a high-performing team in a matrixed environment.
Design, build, and champion a library of reusable building blocks for scientists and modelers.
Champion the adoption of a portfolio-wide metrics process to increase visibility of KPIs.

12+ years of related experience
Prior experience leading decision scientists and/or machine learning engineers to deploy production solutions
Sufficient statistical and modeling fluency to partner effectively with decision scientists
Experience with analytical coding languages such as Python, R, SQL
Experience designing and implementing complex algorithms
Ability to learn technical methods and tools independently
Experience with software development tools (e.g. GitLab/GitHub, Docker, CI/CD practices, etc.)

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Director, Decision Science AI/ML Engineering – Ops

Key skills