Disney Cruise Line - The Walt Disney Company
Decision Science Product Engineering Manager
Disney Cruise Line - The Walt Disney Company, Lake Buena Vista, Florida, United States
Overview
The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.
What You’ll Do As Decision Science Product Engineering Manager for DDSI, you will lead the technical solutioning of data-oriented products and foster technical integrations across multiple teams. You hold responsibility for technical design to ensure that solutions achieve their intended business outcomes. You will create system design diagrams, code proofs-of-concept, document technical requirements, and determine data integration strategies. You will have a hand in shaping the technical roadmaps across product suites that power Disney’s world-class businesses.
Role responsibilities
Design technical solutions for full-stack, software-as-a-service applications
Author technical design documentation in collaboration with application engineers, data engineers, data scientists, product owners, and end users
Ensure that technical designs align with product requirements
Assist application and data engineers by suggesting design patterns, coding proofs-of-concept, determining data integration strategies, and reviewing code
Design technical solutions that are scalable, durable, observable, and testable
Establish processes for various phases of the software development lifecycle
Create and deliver professional presentations to communicate key insights, findings, and recommendations
Required Qualifications & Skills
7+ years of experience as a technical lead or developer building full-stack software-as-a-service solutions on cloud-based platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
2+ years of experience developing system designs, user scenarios, business requirements, mockups, and technical specifications
Proficient with Python, SQL, R, or similar, to manipulate large datasets
Experience with Docker, Airflow, PostgreSQL, and Snowflake
Experience automating processes in a CI/CD environment, for example, in GitLab Pipelines or GitHub Actions
Experience translating business requirements into technical design specifications
Experience with design and prototyping tools like Figma, Moqups, etc.
Demonstrated experience performing exploratory and quantitative analysis
Strong technical writing skills
Ability to learn and understand multiple large business domains
Ability to gain design consensus across multiple technical teams such as front-end engineers, data engineers, data scientists, and testers
Experience using AI to streamline workflows and enhance day-to-day activities
Experience working in close partnership with or as a part of teams developing data science models that support forecasting, optimization, and/or simulation
Preferred Qualifications
Experience working with large datasets, for example, ingestion, validation, transformation, and aggregation
Experience with UML, MBSE or other techniques for functional architecture
Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Experience in travel and tourism industries
Education Required Education:
Bachelor’s degree and/or equivalent work experience
Preferred Education:
Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience.
Master's Degree or equivalent experience
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#DisneyAnalytics
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What You’ll Do As Decision Science Product Engineering Manager for DDSI, you will lead the technical solutioning of data-oriented products and foster technical integrations across multiple teams. You hold responsibility for technical design to ensure that solutions achieve their intended business outcomes. You will create system design diagrams, code proofs-of-concept, document technical requirements, and determine data integration strategies. You will have a hand in shaping the technical roadmaps across product suites that power Disney’s world-class businesses.
Role responsibilities
Design technical solutions for full-stack, software-as-a-service applications
Author technical design documentation in collaboration with application engineers, data engineers, data scientists, product owners, and end users
Ensure that technical designs align with product requirements
Assist application and data engineers by suggesting design patterns, coding proofs-of-concept, determining data integration strategies, and reviewing code
Design technical solutions that are scalable, durable, observable, and testable
Establish processes for various phases of the software development lifecycle
Create and deliver professional presentations to communicate key insights, findings, and recommendations
Required Qualifications & Skills
7+ years of experience as a technical lead or developer building full-stack software-as-a-service solutions on cloud-based platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
2+ years of experience developing system designs, user scenarios, business requirements, mockups, and technical specifications
Proficient with Python, SQL, R, or similar, to manipulate large datasets
Experience with Docker, Airflow, PostgreSQL, and Snowflake
Experience automating processes in a CI/CD environment, for example, in GitLab Pipelines or GitHub Actions
Experience translating business requirements into technical design specifications
Experience with design and prototyping tools like Figma, Moqups, etc.
Demonstrated experience performing exploratory and quantitative analysis
Strong technical writing skills
Ability to learn and understand multiple large business domains
Ability to gain design consensus across multiple technical teams such as front-end engineers, data engineers, data scientists, and testers
Experience using AI to streamline workflows and enhance day-to-day activities
Experience working in close partnership with or as a part of teams developing data science models that support forecasting, optimization, and/or simulation
Preferred Qualifications
Experience working with large datasets, for example, ingestion, validation, transformation, and aggregation
Experience with UML, MBSE or other techniques for functional architecture
Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Experience in travel and tourism industries
Education Required Education:
Bachelor’s degree and/or equivalent work experience
Preferred Education:
Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience.
Master's Degree or equivalent experience
#DISNEYTECH
#DisneyAnalytics
#J-18808-Ljbffr