Job Posting Title:
Manager, Software Engineering - BI & Analytics
Req ID:
Job Description:
Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms.
Job Summary: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 improvement
- Ensure engineering principles are consistently applied across projects and teams
- Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement
- Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines
- Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts
- Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement
- Ensure engineering principles are consistently applied across projects and teams
- Lead and grow a high-performing team of software and data engineers working on mission-critical data products
- Set engineering roadmaps, delivery timelines, and platform-level initiatives
- Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization
- Provide technical guidance and career development for the team
- Collaborate with senior leadership to define data strategy and long-term architecture vision
- Manage capacity planning, resource allocation, and performance reviews
- Lead vendor/tool evaluations and oversee key integration efforts
- Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise
- Spearhead 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 Qualifications- Languages: Scala, Python, SQL, JavaScript
- Data Processing: Apache Spark, Flink, Airflow
- Platforms & Tools: Databricks, Hive, Presto, Snowflake
- Cloud: 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 company
- Experience delivering products in an agile software development environment including sprint work in Jira
- Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations
- Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake
- Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow
- Expert 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 audiences
- Experience in working with large datasets (Terabytes or more)
- Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart
- Strong analytical and critical thinking skills
- Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Preferred Qualifications- Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments
- Experience in Ad Tech, particularly Linear or Addressable Advertising
- Experience with digital advertising systems and ecosystems
- Experience using data analytics to triage and troubleshoot advertising workflows
- Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD)
- Experience with rapid prototyping and agile delivery of analytics products.
Required Education- Bachelor's degree in computer science, or related technical fields, or equivalent experience
#disneytech
The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Posting Segment:
Ad Platforms
Job Posting Primary Business:
AP - Engineering
Primary Job Posting Category:
Product Software Engineering
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Glendale, CA, USA
Alternate City, State, Region, Postal Code:
USA - CA - Market St, USA - WA - 925 4th Ave
Date Posted:
2026-06-25
