Director, Decision Science Technology

Job Summary Department Description

Do you love creating new capabilities by combining your expertise for infrastructure, data, and user experience? Do you value curiosity, nurturing technical talent, and collaborating to create new business value via innovation?

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, genAI, analytics, and scientific approaches such as optimization, machine learning, simulation and statistical modeling to build innovative software as a service (SaaS) that shape business decisions across The Walt Disney Company. We support client areas including Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu, ESPN), Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), Corporate Finance, and others, with strategic applications that enable science-driven decision-making and drive business value.

As a Director, Decision Science Technology, you are a versatile engineering leader responsible for building the strategic SaaS applications that deliver DDSI’s science to the business. You will lead a multi-disciplinary team that builds AI-powered products driven by our sophisticated ensembled models, featuring embedded AI, conversational interfaces, and agentic capabilities. You are equally adept at guiding teams focused on scalable data platforms as you are those building sophisticated software applications.

Without refined, high-quality data input, algorithms are not useful. This pivotal role is for a leader passionate about building AI-powered teams that build AI-powered products, owning the end-to-end technology stack from data ingestion to user interface.

To be successful, collaboration with partnering DDSI executives, Global Information Security, Enterprise Technology & Data, segment-specific technology leadership, project managers, client leaders, and technical subject matter experts in a matrixed environment is necessary. This leader will champion a relentless pursuit toward our own operational excellence, as well as innovation via data-driven business capabilities.

• Team Vision: Develop and keep relevant a vision for team in a fast-paced, complex and evolving arena. Foster a high-performing team of technologists and drive a culture of excellence, innovation, and deep collaboration with the science organization, the AI/ML engineering organization, and all partner teams.
• AI-Powered Delivery of AI/ML/Science Products: Own the technology delivery for a portfolio of decision science applications driven by a range of science algorithms. Deliver across the entire development lifecycle, from technical design to deployment, for intelligent applications featuring quantitative AI/ML, agentic workflows and conversational AI.
• Strategic Leadership: Provide ambidextrous technology & data oversight. Manage a high-performing team in a matrixed environment. Lead, mentor, and grow an evolving & blended team of software engineers, data engineers, solution architects and platform specialists. Cultivate a unified, agile culture that excels at tackling both complex data challenges and sophisticated application development. Define and evolve the technology skill mix, career paths, and hiring strategy required to support DDSI’s long-term rapid SaaS speed-to-market vision.
• Full-Stack Architectural Vision: Oversee the technical, data, and system architectures for analytic platforms and solutions. Provide strategic leadership on the long-term technical vision, including data modeling, microservices architecture, API design, and the advanced tooling required to enable intelligent, interactive applications.
• AI-Powered Productivity: Foster a culture of innovation by leading the adoption of AI tools within the development process (., code assistants, automated testing) to enhance team efficiency, speed of code development, test creation and execution, and improved documentation.
• Design Patterns Definition: Develop roadmaps for reusable capabilities, tools, and agents to harmonize with the portfolio milestones & deliverables while simultaneously raising the bar on standard expectations for deployed solutions, including…