Manager, Software Engineering – BI & Analytics

Posted 11 Days Ago
Be an Early Applicant
3 Locations
In-Office
172K-252K Annually
Senior level
Digital Media • Gaming • News + Entertainment • Sports
The Role
Lead and grow a multidisciplinary software and data engineering team building data pipelines, AI-enabled analytics, and custom BI dashboards. Own roadmaps, delivery, SDLC practices, data governance, and cross-functional collaboration with product, program, QA, and BI partners to ensure scalable, reliable analytics platforms and polished UI components.
Summary Generated by Built In

Job Posting Title:

Manager, Software Engineering – BI & Analytics

Req ID:

10152789

Job Description:

Technology is at the heart of Disney’s past, present, and future. Disney 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. 

Here are a few reasons why we think you’d love working here:

  • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

  • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 

  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

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

Skills Required

  • Proficiency in Scala, Python, SQL, and JavaScript
  • Experience with Apache Spark, Flink, and Airflow
  • Experience with Databricks, Hive, Presto, and Snowflake
  • AWS experience (S3, EMR, Glue, Lambda)
  • Minimum of 8 years relevant software engineering, data engineering, or data science experience
  • Experience delivering products in an agile environment and using Jira
  • Strong SQL experience optimizing complex queries against distributed stores (Aurora, Hadoop, Hive, Oracle, Snowflake)
  • Experience with data pipeline/workflow tools such as Apache NiFi or Apache Airflow
  • Expert-level knowledge in at least one language such as Python, R, Scala, or Java
  • Experience with BI tools such as MicroStrategy, Tableau, Business Objects, or Looker
  • Experience building and deploying dashboards and UIs with React, Angular, or Vue
  • Familiarity integrating AI/ML into production data/analytics environments
  • Strong SDLC management experience including source control and CI/CD
  • Experience working with very large datasets (terabytes+)
  • Experience with Confluence, PowerPoint, and Lucidchart for documentation and presentations
  • Bachelor's degree in computer science or related technical field (or equivalent experience)
  • Experience in digital media or digital advertising
  • Experience designing, building, and supporting BI data platforms and reporting environments
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The Company
HQ: Burbank, CA
219,548 Employees
Year Founded: 1923

What We Do

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.

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