The Walt Disney Company
Decision Science Product Engineering Manager
The Walt Disney Company, Florida, New York, United States
Overview
Decision Science Product Engineering Manager at The Walt Disney Company. The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across Disney businesses, partnering with Marketing, Finance, Business Development, Research, and Operations to develop, analyze, and execute strategies that improve value for Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities 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 help shape 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 Seek solutions by networking with subject matter experts 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 (AWS, 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 (e.g., 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 (front-end engineers, data engineers, data scientists, testers) Experience using AI to streamline workflows and enhance day-to-day activities Experience working in close partnership with or as part of teams developing data science models that support forecasting, optimization, and/or simulation Preferred Qualifications
Experience working with large datasets (ingestion, validation, transformation, aggregation) Experience with UML, MBSE, or other functional architecture techniques 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 Location: Lake Buena Vista, FL
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Decision Science Product Engineering Manager at The Walt Disney Company. The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across Disney businesses, partnering with Marketing, Finance, Business Development, Research, and Operations to develop, analyze, and execute strategies that improve value for Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities 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 help shape 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 Seek solutions by networking with subject matter experts 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 (AWS, 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 (e.g., 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 (front-end engineers, data engineers, data scientists, testers) Experience using AI to streamline workflows and enhance day-to-day activities Experience working in close partnership with or as part of teams developing data science models that support forecasting, optimization, and/or simulation Preferred Qualifications
Experience working with large datasets (ingestion, validation, transformation, aggregation) Experience with UML, MBSE, or other functional architecture techniques 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 Location: Lake Buena Vista, FL
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