Manager, Software Engineering - BI & Analytics

Manager, Software Engineering, Focused On Bi & AnalyticsDisney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy.Responsibilities and Duties of the Role:Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvementEnsure engineering principles are consistently applied across projects and teamsManage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative cultureCoordinate with Product Management to align engineering roadmaps with product initiatives and timelinesPartner with Program Managers to drive planning, prioritization, and delivery of cross-functional effortsCollaborate with QA leadership to build data quality processes and end-to-end validationLead and grow a high-performing team of software and data engineers working on mission-critical data productsSet engineering roadmaps, delivery timelines, and platform-level initiativesDrive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimizationProvide technical guidance and career development for the teamCollaborate with senior leadership to define data strategy and long-term architecture visionManage capacity planning, resource allocation, and performance reviewsLead vendor/tool evaluations and oversee key integration effortsPartner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterpriseSpearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices.Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish.Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices.Required Education, Experience/Skills/Training:Required QualificationsLanguages: Scala, Python, SQL, JavaScriptData Processing: Apache Spark, Flink, AirflowPlatforms & Tools: Databricks, Hive, Presto, SnowflakeCloud: AWS (S3, EMR, Glue, Lambda)Minimum of 8 years of relevant software engineering, data engineering or data science – preferably with a digital media or digital advertising companyExperience delivering products in an agile software development environment including sprint work in JiraExcellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizationsStrong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and SnowflakeExperience with data pipeline and workflow management tools: Apache NiFi or Apache AirflowExpert level knowledge in at least one programming language such as Python, R, Scala, Java.Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc.Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue.Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs.Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments.Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira).Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiencesExperience in working with large datasets (Terabytes or more)Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid ChartStrong analytical and critical thinking skillsEnjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a teamPreferred QualificationsExperience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environmentsExperience in Ad Tech, particularly Linear or Addressable AdvertisingExperience with digital advertising systems and ecosystemsExperience using data analytics to triage and troubleshoot advertising workflowsExperience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD)Experience with rapid prototyping and agile delivery of analytics products.Required EducationBachelor's degree in computer science, or related technical fields, or equivalent experienceAdditional Information:Engineers are expected to be in the office four days a week.This role is hiring in Glendale, CA