> Markdown version of [/jobs/ext/4617125-manager-software-engineering-business-intelligence](https://www.wearedevelopers.com/jobs/ext/4617125-manager-software-engineering-business-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering, Business Intelligence - **Company:** The Walt Disney Company - **Location:** Santa Monica, CA, United States - **Experience:** Expert - **Salary:** $164,492 - $220,600 - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Cascading Style Sheets (CSS), Cloud Computing, Cloudera Impala, Code Review, Continuous Integration, Data Visualization, Software Design Patterns, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Data Store, Scala (Programming Language), Service Design, Software Engineering, Spinnaker, Web Application Frameworks, ReactJS, Snowflake, Apache Spark, Vue.js, Webpack, AngularJS, Integration Tests, Kubernetes, Information Technology, Druid, Apache Flink, Apache Kafka, Apache Nifi, Presto, Terraform, SDET, Amazon Redshift, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_5c189fe56085a7522e6bdd04ea0b0455-1859803440 ## About the Role * MS in computer science, EE or other quantitative subject area. * 8+ years of professional programming in Scala, Java, Python, and etc. * 8+ years of people and project management experience * 8+ years of high-performance, high-scalable service design experience or equivalent bigdata design experience with Spark, Flink, Druid, Single Store, Snowflake, Kafka, Nifi or other AWS bigdata technologies * Consistent record with cloud infrastructure technologies, at least two of Terraform, K8S, Spinnaker, IAM, ALB, and etc. * In-depth experience of industry level highly available and scalable service * Experience with processing large amount of data at petabyte level * Solid understanding of systems, application design and architecture * Passion about technologies, and openness to interdisciplinary work * Excellent leadership and interpersonal skills Preferred Qualifications * PhD in computer science, EE or other quantitative subject area * Experience in digital advertising * Experience with machine learning and AI * Experience with a widely used Web framework (React.js, Vue.js, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack. * Experience with Click House, Impala, Presto, Redshift etc. ## Description The Ad Intelligence team falls under Ad Platforms and its mission is to transform advertising and Disney's Ad Platform with data and AI across live TV and streaming. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is looking for a Software Engineering Manager who will lead an engineering team within Ad Intelligence. This team will focus on industry-leading ad decisioning solutions, big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney's addressable Ad Platforms. The right person for this role should be experienced with big data technologies, high performance services, organization development, and crafting implementation for either service/data products or fullstack solutions. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is an extraordinary role for you! Responsibilities * Lead an engineering team in constructing a next-generation, big-data and AI-driven advertising system to advance Disney's addressable advertising platform capabilities * Continuously evolve team mission, strategy and charter, and develop team structure for changing business needs and technology trend * Drive adoption of the best engineering practices, including the use of design patterns, CI/CD, code review and automated integration testing * Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment * Recruit and mentor team members, and guide their career development * Communicate status to senior management