Technical Product Manager – Digital Ecosystem Health
Listed on 2026-07-04
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Technical Product Manager – Digital Ecosystem Health
The Technical Product Manager supports the Digital Ecosystem Health (DEH) program within Disney Experiences Technology (DXT). This role operates at the intersection of behavioral analytics, AI-driven digital workforce solutions, and Live Ops enablement to improve end-to-end Guest experience across Disney digital platforms.
The role is responsible for owning and evolving technical solutions that connect Guest behavior, site performance, and product changes s includes designing and developing analytics-driven insights, building and operationalizing a coordinated portfolio of AI agents and automation workflows across functional areas, and establishing systems that enable proactive identification and resolution of digital experience issues.
An ideal candidate is deeply curious about Guest behavior and system performance and is equally comfortable translating data into insights and building technical solutions. This role plays a key part in evolving and scaling how DXT leverages analytics, automation, and AI to support proactive, efficient, and insight-driven decision-making across product, engineering, and analytics teams.
Responsibilities- Design, develop, and assist in the evolution of AI-powered agents and digital workforce solutions that support Digital Ecosystem Health use cases (e.g., site monitoring, content validation, workflow automation), including defining agent scope, managing interdependencies across agents, and ensuring each capability is built for integration within a broader AI-enabled operating model
- Build data models, automate data processing, and develop interactive reporting tools, creating scalable and reusable analytics solutions for ongoing operational use
- Perform behavioral and experience analytics analyses to identify trends, anomalies, and root causes impacting the Guest experience
- Develop and maintain reporting and insights systems for Live Ops and cross-functional stakeholders, enabling faster and more actionable decision-making
- Establish and maintain systems that connect UX/UI changes, site releases, and platform performance signals (e.g., errors, load times, Guest friction), improving observability across DX's digital ecosystem
- Configure, extend, and optimize analytics platforms, including segmentation, data validation, and instrumentation quality across multiple digital properties
- Collaborate with product, technology, design, content, analytics, and business partners to investigate issues, validate hypotheses, and identify opportunities to improve the Guest experience
- Support Live Ops readiness and execution through insights generation, reporting contributions, and identification of emerging experience risks
- Build and scale automation and AI-enabled workflows that reduce manual effort and increase speed to insight across DEH and partner teams
- Define and manage the lifecycle, maturity progression, and performance measurement of individual AI agents, ensuring each is scoped appropriately, monitored for business impact, and evolved as the broader digital workforce capability matures
- Contribute to and help define DEH frameworks, tools, and best practices that enable adoption and scaling of analytics and AI capabilities/systems across DXT
- Act as a technical connector across analytics, AI, and product domains, bridging gaps between data, systems, and operational decision-making
- 3+ years of experience in digital analytics, product analytics, technical product management, or a related field
- Demonstrated experience analyzing digital behavior and translating data into actionable insights that influence product or operational decisions
- Experience working with analytics and/or behavioral analytics platforms, including segmentation, reporting, and data validation
- Experience building or contributing to technical solutions, such as data models, automation workflows, or internal tools
- Foundational understanding of how digital systems are built and instrumented, including data collection, system behavior, and performance considerations
- Ability to work independently while managing multiple priorities in a fast-paced,…
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