The Walt Disney Company Logo

The Walt Disney Company

Mgr, Data Product Mgmt

Posted 2 Days Ago
Be an Early Applicant
In-Office
Seattle, WA, USA
163K-241K Annually
Senior level
In-Office
Seattle, WA, USA
163K-241K Annually
Senior level
Lead and grow a team of Data Product Managers to define, build, and deliver domain-driven data products. Align data product strategy with business goals, provide architectural guidance for Snowflake/dbt/AWS-based pipelines, and ensure data readiness for AI/ML. Drive operational excellence, governance, vendor management, and cross-functional collaboration to enable scalable, secure, and high-quality data products.
The summary above was generated by AI

Job Posting Title:

Mgr, Data Product Mgmt

Req ID:

10155061

Job Description:

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!

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 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.
  • Communication & Influence: 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.
  • Problem-Solving: A highly analytical and structured approach to problem-solving, with a track record of tackling complex technical and organizational challenges.

Required Education:

  • Bachelor’s degree and/or equivalent work experience
The hiring range for this position in Florida is $163,400.00-$219,100.00 per year, in California is $171,600-$230,100 per year, and in Washington is $179,700.00- $241,000.00 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Emerging Tech & Data

Primary Job Posting Category:

Product Management

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave, USA - WA - 925 4th Ave

Date Posted:

2026-07-24

Similar Jobs

2 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm insurance leads, consult customers on coverage needs, match products to convert sales, complete paid licensing and training, work remote with set shift schedule, meet work-at-home technical requirements, and pursue sales targets with integrity and customer focus.
2 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads to consult customers on insurance needs, match coverages, and close policies. Complete paid training and obtain Property & Casualty license. Work remotely with a required professional home workspace, scheduled shifts including one weekend day, and meet sales and performance goals.
4 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound insurance leads, consult customers on coverage needs, convert leads to policyholders, complete paid licensing and training, meet shift and W@H requirements, and use persuasive, customer-focused sales techniques without cold calling.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account