Manager, Data Product Engineering - Guest Domains

Disney Experiences
Orlando, FL

Job Summary:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

Manager, Data Product Engineering – Guest Domains

As the Manager of Data Product Engineering for Guest Domains, you will lead the strategy, development, and delivery of data products that power Guest-centric insights and experiences across our ecosystem. This role sits at the intersection of data engineering, product strategy, and domain expertise, focused on building scalable, high-quality data products. You will serve as the technical and strategic owner of products, including, but not limited to, Ticketing, Entitlements, Experiences, and Interactions. Your leadership will ensure that our data products are resilient, trustworthy, and aligned with business needs, while fostering a culture of engineering excellence and cross-functional collaboration.

This is a deeply technical and hands-on leadership role where you will immerse yourself in the data, collaborate closely with engineering teams, and drive meaningful business impact. Unlike traditional product management roles that focus primarily on defining requirements, this position demands full ownership of the technical domain. You will lead a team that not only defines and scopes data product initiatives but also engineers scalable data pipelines, executes test queries, and validates schema changes, ensuring the delivery of resilient, reliable, and future-ready data products.

Key Responsibilities

Product Strategy & Ownership

  • Define and drive the vision, roadmap, and execution strategy for data products across Guest Domains.
  • Translate business needs into actionable data product initiatives that deliver measurable impact.
  • Partner with engineering, source systems, and business stakeholders to identify opportunities for innovation and optimization.
  • Establish and track KPIs for data product performance, adoption, and quality.
  • Champion data governance, compliance, and scalability across all data solutions.

Technical Leadership & Execution

  • Lead engineering efforts to design and build robust data pipelines, infrastructure, and APIs.
  • Actively contribute to technical development: write SQL/Python scripts, validate schemas, test pipeline changes, and manage data contracts.
  • Facilitate technical refinement sessions and ensure thorough scoping of initiatives.
  • Oversee the full lifecycle of data product delivery, from requirements through QA and release.
  • Collaborate with engineering teams to implement monitoring, alerting, and logging for data reliability.

Team Leadership & Collaboration

  • Serve as the subject matter expert for Guest Domain data
  • Build and mentor a high-performing team of data product engineers.
  • Foster a culture of innovation, accountability, and continuous improvement.
  • Act as a bridge between technical and non-technical teams, translating business needs into scalable data solutions.
  • Promote operational excellence and drive improvements in data usability, performance, and quality.

About You:

This role requires you to be at the center of deeply technical work and strategic product management. To succeed in this role, you should leverage the following,

  • 8+ years of experience in data product engineering, data architecture, or technical product leadership.
  • Strong technical acumen with hands-on experience in big data ecosystems, ETL pipelines, and cloud data platforms (e.g., Snowflake, AWS).
  • Proficient in SQL and Python, with a deep understanding of relational databases, data lakes, and streaming technologies (e.g., Kinesis).
  • Experience with CI/CD frameworks, data contracts, and schema design in production environments.
  • Proven ability to lead cross-functional teams and deliver complex data solutions.
  • Excellent communication and storytelling skills—able to distill technical insights for diverse audiences.
  • Strategic thinker with a bias for action and a passion for guest-centric innovation.

Education

  • Bachelor’s degree in Computer Science, Information Systems, Software, or comparable field of study and/or equivalent work experience.

#DISNEYTECH

Posted 2026-01-12

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