Disney Experiences · 7 hours ago
Manager, Data Product Engineering
Orlando, FL
Full-time
Onsite
Senior Level, Lead/Staff
$176K/yr - $236K/yr
8+ years expDisney Experiences Technology creates immersive digital experiences for the Company’s vacation brands. The Manager of Data Product Engineering will lead and mentor a team of Data Product Engineers, ensuring alignment of data product strategy with business goals and fostering innovation across the organization.
Entertainment
Responsibilities
Lead & Develop High-Performing Teams: Recruit, onboard, mentor, and manage a team of Data Product Engineers, including Lead Engineers. Foster a culture of technical excellence, continuous learning, accountability, and psychological safety. Conduct performance reviews, set clear objectives, and support career growth
Strategic Data Product Leadership & Business Alignment: Lead the development and communication of our data product strategy and roadmap, actively collaborating with business leaders and stakeholders across all relevant departments (e.g., Marketing, Finance, Operations, Product Management). Drive consensus and alignment on key data domains and ensure our Domain-Driven Design (DDD) approach directly reflects and supports core business processes and strategic objectives. You will be instrumental in translating business strategy into a cohesive data strategy, fostering a shared understanding of data value, and accelerating data-driven decision-making across the enterprise
Architectural Guidance & Technical Governance: Provide architectural oversight and technical guidance to your team, ensuring data product designs are scalable, resilient, secure, and maintainable. Champion best practices for data modeling (Kimball, DDD), data quality, governance, and CI/CD for our Snowflake, dbt, AWS Lambda, and Kinesis-based data platform
Drive Operational Excellence: Establish and enforce robust processes for data product lifecycle management, including incident response, performance monitoring, cost optimization, and adherence to data governance policies. Ensure reliable and timely delivery of data to support business operations and AI/ML workloads
Vendor & Resource Management: Manage budget allocation for your team, evaluate and manage relationships with external vendors and technology partners, ensuring optimal utilization of resources and technologies
Innovate & Champion AI/ML Data Readiness: Guide the team in designing and building data products that specifically empower our AI/ML efforts, ensuring data is clean, well-structured, and readily available for feature engineering, model training, and inference. Stay abreast of industry trends in data engineering and AI/ML
Qualification
Required
8+ years of hands-on experience in data engineering, data warehousing, or a related field, with a strong emphasis on building robust, scalable data solutions
Proven experience in leading and managing data engineering teams, including experience managing Lead Engineers
Demonstrated ability to inspire, motivate, and develop technical talent
Strong skills in hiring, performance management, conflict resolution, and fostering a collaborative team environment
A deep understanding of data as a product, with the ability to define product vision, build roadmaps, and drive execution
Proven ability to not only define data product vision and roadmaps but also to secure organizational buy-in and drive cross-functional alignment on data strategy and the foundational role of domain-driven data products
Exceptional ability to bridge the gap between technical possibilities and business realities, translating complex data concepts into tangible business value
Expert-level understanding and practical experience with Snowflake for data warehousing and performance optimization
Extensive experience with dbt (Data Build Tool) for advanced data modeling, transformation, and governance
Demonstrated expertise in designing and implementing real-time data pipelines using AWS Lambda and AWS Kinesis
Strong command of Python for data engineering and automation; familiarity with other languages like Java is a plus
Solid understanding of how to prepare and provision data for AI/ML applications and platforms
Proficiency in applying Kimball's dimensional modeling and Domain-Driven Design (DDD) principles to complex data architectures
Exceptional written and verbal communication skills, with a proven ability to facilitate strategic discussions, gain consensus, and articulate complex technical and strategic concepts to diverse audiences (engineers, executives, business users)
Demonstrated ability to influence data strategy decisions and drive adoption of data product best practices across the organization
A highly analytical and structured approach to problem-solving, with a track record of tackling complex technical and organizational challenges
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
The full range of medical, financial, and/or other benefits
Company
Disney Experiences
Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world.
10001+ employees
H1B Sponsorship
Disney Experiences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Late StageLeadership Team
John Nelson
Chief Executive Officer
Jodie Resnick
Vice President, Synergy, Partnership Marketing & Promotions
Company data provided by crunchbase