Manager, Data & AI Business Operations – Global Compliance

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Manager, Business/ML Operations & Data is responsible for end-to-end ownership of the AI and machine-learning operational environment that enables scalable, secure, and reliable data and ML capabilities within Global Compliance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
• 3-5+ years of hands-on experience supporting AI/ML platforms, MLOps, DevOps, or analytics infrastructure in production environments.
• Strong proficiency in Python and SQL, with practical experience supporting CI/CD pipelines for analytics and ML workloads, development and production environments, operational controls such as versioning, release management, and environment consistency.
• Experience operating and supporting workflow orchestration and scheduling tools (e.g., Airflow), including dependency management, failure triage, and collaboration with IT teams on ETL and data pipeline implementation.
• Solid understanding of end-to-end ML development and deployment workflows, including model lifecycle management, execution dependencies, and production operational considerations.
• Working knowledge of infrastructure and platform concepts such as virtual machines, access controls, patching, monitoring, and system health management.
• Experience working in regulated or risk-managed environments and exposure to data governance, audit, or control frameworks considered strong assets.
• Hands-on technical problem solver with the ability to operate across infrastructure, platform, and data layers, and quickly diagnose issues impacting ML or analytics workloads.
• Clear, structured communicator with a strong ownership mindset, customer focus, and attention to operational stability, reliability, and control.

Benefits

• Inclusive and high-performing culture
• Clear, structured communicator
• Strong ownership mindset
• Customer focus
• Attention to operational stability, reliability, and control