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Mgr, Data Product Mgmt
Job in
Orlando, Orange County, Florida, 32806, USA
Listed on 2026-08-05
Listing for:
The Walt Disney Company
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, Data Engineering
Job Description & How to Apply Below
As the Manager of Data Product Management , you will be at the helm of our efforts to define, build, and deliver high-value data products across the organization. You will be responsible for leading, mentoring, and growing a team of Data Product Managers and Product Managers, ensuring they have the support, direction, and resources to excel. This role demands a blend of strong technical acumen, strategic leadership, and exceptional people management skills.
Crucially, you will actively champion the alignment of our data product strategy with overarching business goals, ensuring deep collaboration across business units to jointly define and prioritize domain-driven data products. You will foster a culture of innovation and excellence, acting as a key liaison between engineering, product, data science, and business stakeholders to ensure our data assets are robust, accessible, and directly support our company's strategic goals, especially within AI/ML initiatives.
** What You'll Do:*
* + Lead & Develop High-Performing Teams:
Recruit, onboard, mentor, and manage a team of Data Product Managers, including Lead Product Managers. 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.
** Required
Qualifications & Skills:
*
* + Minimum 8 years of related work experience
+ Leadership & Management
Skills:
Demonstrated ability to inspire, motivate, and develop technical talent. Strong skills in hiring, performance management, conflict resolution, and fostering a collaborative team environment.
+ Strategic & Product Mindset: 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.
** Deep Technical Acumen:*
* + 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…
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