Description:
What You Will Do
- Design and build tools that support the existing ad technology teams at The Walt Disney Studios—collectively known as “the performance marketing engine”; allow the teams to scale their work, increase the rate of delivery, and make space for future innovation
- Drive software engineering and architectural best practices and standards within the team, along with a culture of engineering excellence; uphold standards and rigor around software development, testing, deployment, and documentation
- Provide mentorship and guidance for team members; evangelize the new tools, best-practices, and data driven decisions
- Develop and enhance existing capabilities of the Performance Marketing Engine
- Create tooling and applications that can dynamically manage ad strategy configurations in a variety of social and digital platforms
- Collaborate with data scientists and product managers to rapidly iterate from prototypes to high-quality, production pipelines; contribute to emerging marketing analytics projects that address pressing business questions from collaborators in The Walt Disney Studios Marketing organization
- Implement quality controls, monitoring, and other safeguards to ensure optimizations are accurately and safely applied to in-flight ad campaigns and key business metrics are always presented accurately
- Adapt applications and workflows in the Performance Marketing Engine to changes arising from industry-wide events (such as the iOS14 update or cookie deprecation) as well as to more customary changes like standard updates to partner APIs.
- Collaborate with Studio Technology team to ensure data fidelity and reenforce larger data initiatives at The Walt Disney Studios
- Lead efforts to design and create new and innovative enhancements to the Performance Marketing Engine to improve capabilities in: Categorizing and taxonomizing paid media efforts
- Implement paid media strategies at scale across multiple digital media channels
- Simplify media operations and improving operational efficiency
Required Qualifications & Skills
- Bachelor’s and/or Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
- 7 years or more of related work experience
- Shown experience developing well-documented applications and API-based services, using frameworks such as FastAPI (Python) or Sprint Boot (Java)
- Experience with data-rich environments and a fluency with Python, Spark, and SQL
- Ability to craft and own CI/CD pipelines for applications, using infrastructure-as-code frameworks such as Terraform or CloudFormation
- Experience partnering with data science teams to bring pipelines and libraries into robust, production environments
- Ability to dive deep into any technical component as well as understand and drive the overall systems architecture.
- Proven ability to manage multiple projects effectively that meet deadlines within a fast-paced environment
- Understanding of media and marketing, including how to define marketing/ media KPIs