The Senior Manager will lead the AI for Targeting & Segmentation program, ensuring alignment with market needs, and oversee cross-functional delivery to realize business outcomes through AI capabilities.

The Senior Manager, Cloud Infrastructure Engineer designs and builds cloud-native infrastructure, manages CI/CD pipelines, supervises testing processes, and ensures operational excellence in AI solutions while leading a team of engineers.

As the Manager of AI and Data Science Full Stack Engineer, you will architect, implement and improve AI solutions and data workflows, collaborating with teams to integrate insights into production while ensuring best practices in software development.

You will lead MLOps platform operations, implement CI/CD pipelines, ensure model performance monitoring, and enhance ML reliability and observability practices. Collaborate with teams to improve operational efficiency and standards in compliance and AI governance.

The Data Ops Engineer will lead the design and operation of data platforms, ensuring data reliability, quality, and observability for AI analytics and engineering solutions. Responsibilities include CI/CD automation, data governance, and coaching engineering teams.

The role involves providing operational excellence support, leading Lean/Six Sigma projects, coaching teams on continuous improvement, and developing capabilities in external supply chains.

The Senior Manager, Full Stack Engineer will develop end-to-end software products, manage agile teams, and implement engineering best practices while collaborating with various stakeholders to deliver AI capabilities.

The Manager develops medical content, collaborates with teams, ensures accuracy and compliance, and supports training on relevant tools, while leading projects across therapeutic areas.

The Associate Manager develops medical affairs content, collaborates with teams, ensures compliance, and tracks project progress while training in new tools.