Decision Science Product Engineering Manager

The Disney Decision Science + Integration (DDSI) organization is responsible for supporting clients 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. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.

DDSI 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

• 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 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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