Manager, Software Engineering – BI & Analytics

5014 Disney Entertainment & Sports LLC; Glendale (CA); On-site; USD 171,600 - 230,100; Full time

Job summary

5014 Disney Entertainment & Sports LLC in Glendale, CA is seeking a Manager, Software Engineering for BI & Analytics. This role involves leading a team to build and maintain crucial data pipelines and analytics solutions that support Disney's Ad Platforms.

Required qualifications include a Bachelor’s degree in computer science, proficiency in programming languages like Scala, Python, and SQL, as well as extensive experience in managing teams within an agile environment. Competitive compensation and benefits are offered.

Qualifications

• Minimum of 8 years of relevant software engineering, data engineering, or data science experience.
• Experience delivering products in an agile software development environment.
• Strong SQL experience including optimizing complex queries.

Responsibilities

• Lead a multidisciplinary team in building data solutions.
• Manage and mentor software and data engineers.
• Collaborate with Product Management to align engineering roadmaps.
• Drive best practices for data governance and cost optimization.
• Spearhead implementation of custom dashboards and analytics UIs.

Skills

Scala

Python

SQL

JavaScript

Apache Spark

Apache Flink

Apache Airflow

AWS

Education

Bachelor’s degree in computer science or related technical fields

Tools

Databricks

Hive

Presto

Snowflake

Job description

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.

Responsibilities

• 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.
• 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.
• 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 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.
• Bachelor’s degree in computer science, or related technical fields, or equivalent experience.

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.

Compensation & Benefits

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. 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 other benefits.

Location

Primary City, State, Region: Glendale, CA, USA.