Disney Entertainment & ESPN Technology
Location
Santa Monica, CA | United States
Job description
On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also redefining Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working here:
Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
Business Operations is the glue of DE&E Technology, with a persistent focus on connecting all the pieces of the business. All the components that make up the organization – engineering, product, design, operations, support and more – come together and move the business forward with oversight, effective prioritization, and guidance. This team synthesizes information from across the business to ensure leaders are armed with all the necessary data before making strategic and financial decisions. From forecasting, funding, tracking, and reporting on projects, to ways of working, and resource management, Business Operations has transparency and input into all aspects of the team.
As a Senior Solutions Engineer, you are responsible for the day-to-day operations of our advertising pipelines. Our successful candidate has demonstrable experience operationalizing advertising data to resolve delivery issues and optimize the advertising pipeline. You will need leadership skills, a sense of urgency, experience with critical service operations, and the ability to problem-solve in high-volume production environments.
Perform day-to-day technical operations of the advertising pipelines, including triage and fix of operational issues, run point on escalations, and provide Level 1 / Tier 1 support
Ensure monitoring and alerting on production services are in place and be available on-call for production incidents.
Deliver key performance metrics (KPM) to track health and growth
Maintain operational playbooks
Develop strong partnerships across operations, sales, business intelligence, engineering, and product management teams.
Maintain detailed operational documentation for both internal and external consumption
Execute optimization and growth strategies, help manage key development milestones and deployments, and monitor effectiveness.
Analyze and communicate the impact of key strategy, market, or product changes
Bachelor’s degree in Computer Science, Data Analytics or Science, Applied Mathematics, Statistics, related technical fields, or equivalent experience
At least 5 years of relevant data science, Business Intelligence, or data analytics experience – preferably with a digital media or digital advertising company
At least 1 -2 years of experience in ad technology, operations, or support, preferably focusing on video advertising technology.
Experience delivering products in an agile software development environment including sprint work in Jira
Strong SQL experience including writing/optimizing sophisticated 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
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 presentation and documentation skills
Experience with digital advertising systems and ecosystems
Experience using data analytics to triage and solve advertising workflows
Experience with network topologies, systems architecture overviews, and entity-relationship diagrams
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