Director, Decision Science AI/ML Engineering & Ops
Core
Architect and lead the productionization of decision science (optimization, ML, simulation) into scalable SaaS products for The Walt Disney Company.
Role type
Director, AI/ML Engineering & MLOps
Builds
Scalable SaaS products, automated MLOps pipelines, feature stores, and reusable model building blocks for decision scientists.
Domain
Entertainment & Media (Disney) + Decision Science / AI/ML Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps strategy, team leadership, system architecture, model deployment automation, technical debt management, cross-functional partnership, change management
Preferred skills
GenAI integration, productization of science services, portfolio prioritization
Technologies
SaaS, optimization, machine learning, simulation, statistical modeling, genAI, feature stores, automated testing, monitoring
Responsibilities
Define and execute MLOps roadmap; build reusable building blocks for scientists; manage high-performing AI/ML engineering team; ensure interoperability between science teams and infrastructure; maintain production system reliability and remediate technical debt; champion AI-powered productivity tools.
Seniority
Director, strategic leadership & hands-on architecture
