WHO YOU’LL WORK WITH You will partner with globally distributed engineering, product, and program teams to ensure that the ecosystem of services remains loosely coupled, independently scalable, and aligned with business needs.

You will work with your peers to develop key innovation features and report to the Director for your capability area. WHO WE ARE LOOKING FOR We are looking for a dynamic engineering manager with a passion for building and leading high-performing software engineering teams in an AI-augmented development environment. You thrive in a fast-paced, collaborative setting and have a proven track record of delivering scalable data platforms, analytics experiences, and AI-assisted engineering workflows. Skillset Required 10+ years of • experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms. 3+ years of experience leading engineering teams, with demonstrated success in hiring, mentoring, and growing talent. 2+ years of experience driving outcomes with BI engineers and analysts, building modern analytics experiences using web-based stacks (React, Tailwind CSS, D3.js / Recharts / Observable Plot, or similar JS charting libraries) as well as governed semantic models and data marts. Experience establishing AI-assisted development practices across teams — including effective use of tools like Cursor, Claude Code, GitHub Copilot, and agentic coding workflows to accelerate delivery and raise code quality. Expertise in at least one major cloud platform: AWS, Azure, GCP, or OCI. Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, and Apache Airflow.