The Walt Disney Company

Operations

• Work with a small but dynamic team responsible for monitoring and troubleshooting the VOD ingestion pipeline
• Subject matter and technical expert for supply chain operations
• Review audio/visual content against strict deadlines
• Coordinate with external partners to fix content to ensure deadlines are met
• Research and normalize metadata
• Create tracking tickets for assets that need remediation and follow them to completion
• Provide technical expertise for content issues with A/V, XML, and timed text
• Monitor the health of the encoding pipeline and provide technical and operational support
• Identify and triage internal incidents, escalating them to the appropriate technical teams in a timely manner
• Update documentation and train team members on procedures
• Provide ongoing status of the overall health of the ingest pipeline to senior staff

Media Delivery Ops Specialist

Full-stack Engineer

• The Software Engineer is responsible for developing high-quality software solutions that support business needs and align with enterprise technology standards.
• Participate in the development and delivery of complex CMS websites, integration, and services for our internal partners, from initial discovery through launch, ongoing iteration, and operations.
• Design, develop, test, and deploy software solutions that align with functional specifications and technical standards.
• Write clean, maintainable, and secure code with attention to performance and reusability.
• Translate business requirements and user stories into technical tasks and working features.
• Collaborate with senior engineers to refine solution designs and learn architectural best practices.
• Integrate systems using REST APIs, message queues, or platform-specific tooling.
• Participate in code reviews and incorporate feedback to continuously improve code quality.
• Apply established engineering patterns and architectural standards in day-to-day development work.
• Build knowledge of enterprise frameworks and principles of scalable system design.
• Support QA and release processes by writing test cases, fixing bugs, and participating in deployment reviews.

Software Engineer II

Solutions Engineer

• Support the execution and maintenance of an annual and long-term strategic plan for streaming’s revenue growth, ensuring revenue tracking accuracy
• Assist the Sr. Manager in facilitating collaboration across teams to identify innovative and market-leading ad sales opportunities tied to Hulu and Disney+ content, audience insights, and ad product capabilities
• Assist the Sr. Manager in collaborating with internal partners such as RYM, Analytics and Addressable Sales to optimize available streaming opportunities in the marketplace and develop net new approaches to driving streaming revenue
• Support our approach of Streaming growth holistically by building relationships and solutions with our internal content and solutions partners (Entertainment, Sports)
• Under guidance of the Sr. Manager, identify opportunities for optimization, recommend processes to streamline, and maintain internal processes to promote cross-functional collaboration, operational efficiency, and revenue tracking
• Create timely materials to push relevant opportunities in the market for the Sales team to drive revenue

Associate Manager, Streaming Solutions

Data Scientist

• Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency.
• Drive outcome based prioritization across initiatives (e.g., cost transparency, spend visibility, performance insights, workflow automation), balancing stakeholder needs, feasibility, and measurable impact.
• Translate business and operational needs into epics, user stories, acceptance criteria, and a prioritized backlog, partnering with delivery teams through refinement and release planning.
• Define and deliver product capabilities that enable vendor performance visibility, portfolio insights, and spend transparency, including clear success criteria and user outcomes.
• Define data requirements and integration needs, enabling reliable, analytics ready views across systems to support planning, forecasting, and performance tracking.
• Support delivery of AI ‑ assisted capabilities (e.g., forecasting, anomaly detection, insight summarization) within established platforms, standards, and guardrails.
• Lead ongoing backlog management, UAT, and release readiness, accountable for adoption and delivery of measurable business outcomes.
• Communicate product plans, trade-offs, risks, and insights clearly to business and technical stakeholders.
• Facilitate alignment across cross-functional partners with differing priorities through structured discussions and clear decision framing.
• Support governance, controls, and compliance requirements related to data, financial transparency, and operational processes.
• Help drive adoption of new product capabilities and workflows through clear documentation, enablement, and change support.
• Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, and post-implementation review.

Lead Product Manager, Data & AI Integration

Machine Learning Engineer

• Ideate, develop, iterate on, and productionize personalization algorithms, including core ranking, content and user understanding models and graphs, candidate retrieval, and post-ranking systems.
• Apply modern AI and LLM techniques to recommendation systems.
• Contribute ideas and insight on recommendation approaches, evaluation methodology, and how we define data, features, and objectives for our models.
• Help drive the technical vision and innovation agenda for personalization.
• Design and run rigorous offline and online experiments, and contribute to improving our evaluation systems and methodology.
• Work closely within the team and across Engineering, Product, and Data partners, communicating methodologies clearly to technical and non-technical audiences.

Lead Machine Learning Engineer

Product Designer

• Set team values and manage individuals at different stages of development
• Own the vision for your group, its relationship with the department and business goals, and provide clarity when it's needed
• Help your ICs work more effectively and encourage them to implement the most desirable design solution
• Develop, codify, and evangelize best practices, primarily focusing on design excellence, team growth, and stakeholder management
• Guide your team to develop processes for ensuring a high bar of quality, including evolving critique practices, design rituals, and workflows that keep pace with emerging tools and technologies
• Set the strategy and vision for your area of ownership, even as the boundaries of that area shift
• Offer a strong product and design voice with your cross-functional partners
• Partner closely with product management, engineering, research, and data science as a true strategic peer
• Co-author product strategy and champion the user perspective in roadmap conversations
• Stay close to users through research and experimentation, helping define how people discover, interact with, and experience content across current and future paradigms
• Foster a culture of confidence, accountability, design thinking, continuous learning, and constructive critique
• Recruit new designers and actively participate in the hiring process, raising the bar for talent while building a team that reflects diverse perspectives and backgrounds

Manager, Product Design

Platform Engineer

• Contribute to maintaining, updating, and expanding existing AI intelligence layer encompassing Snowflake Cortex, AWS Bedrock
• Architect, design, and code shared libraries that abstract complex business logic
• Collaborate with product managers, architects, and other engineers
• Contribute to developing and documenting both internal and external standards and best practices
• Ensure high operational efficiency and quality of the AI projects
• Engage with and understand our customers
• Maintain detailed documentation of your work

Lead Product Software Engineer – Data Foundation Platform

Data Engineer

• Design, craft and own high quality foundational datasets to produce reliable, meaningful inputs for machine learning models and subscriber experiences
• Source, analyze and validate diverse upstream data sources from upstream partner teams and raw signals using exploratory data analysis
• Identify and build new user and content data features for recommendation systems through collaboration with machine learning engineers
• Enhance existing feature quality through experimentation, analysis and iterative development
• Build, optimize and maintain large scale data processing jobs, pipelines and workloads
• Improve data quality and reliability through implementing checks, anomaly detection, testing, monitoring and alerting
• Contribute to operational excellence by following observability best practices and participating in an on-call rotation to support critical production data pipelines

Data Engineer II

• Define and own the strategic vision and roadmap for data products across multiple business domains.
• Translate high-level business problems into technically grounded data product requirements rooted in consumption-ready data architectures, Kimball-inspired dimensional modeling concepts, and Domain-Driven Design (DDD) bounded contexts.
• Align roadmap priorities with overall company objectives and communicate strategic direction to stakeholders at all levels.
• Lead requirements discovery and translate business needs into precise, engineer-ready specifications.
• Author acceptance criteria that bridge business intent and technical implementation.
• Partner directly with Data Product Engineers and Data Architects to bridge business intent and technical execution.
• Collaborate with AI/ML and data science teams to define data product requirements that support machine learning initiatives.
• Define and enforce data governance standards, metadata management practices, data lineage tracking, and data observability frameworks across the data product portfolio.
• Partner with Data Governance and Architecture teams to ensure all data products meet quality, security, and compliance requirements.
• Define KPIs and success metrics, monitor product performance, and use feedback to guide continuous iteration.

Lead Data Product Manager

Chief Marketing Officer

• Lead and mentor a high performing team of Partner Marketing regional experts
• Develop and deliver on the Partner Marketing strategy for APAC with a clear view on how it will deliver business outcomes, and contribute to broader APAC goals
• Partner with Disney Partnerships team to secure new and grow existing marketing investment and effectiveness from partners
• Identify strategic opportunities that can scale across the region and with the global team
• Lead team to build market leading creative with partners
• Deliver full funnel campaigns with partners spanning ATL and BTL marketing, through working with partners to optimize sales across their digital, call centers and retail environments
• Partner with the Disney country leaderships teams to align on key priorities for each market, title priorities, and goals for the market
• Provide thought partnership and guidance around opportunity sizing, identifying consumer & partner motivations, key GTM levers and clear success metrics for initiatives across existing & new partnerships in the region
• Promote an inclusive and innovative culture that values integrity, creativity and Collaboration
• Excellence in client servicing, helping build long term relationships with our largest strategic partners and delivering a seamless partner experience
• Collaborate with Product & Tech, Content, Retail Marketing, and other Disney teams to advance DTC business
• Define and implement processes for identifying relevant partners and ensure effective deal execution across the region
• Ensure that Disney’s guidelines, IP usage and ways of working are clearly set out, processes smooth, and creative well executed

Director, Partner Marketing – DTC APAC

Risk

• Define and lead enterprise data strategy
• Establish a clear, scalable data strategy aligned to business growth and innovation priorities
• Drive consistency in data definitions, standards, and governance practices across the company
• Build and operationalize governance at scale
• Define data ownership, stewardship models, and accountability frameworks
• Implement standards for data quality, transparency, and auditability
• Enable AI and advanced analytics
• Ensure data is AI-ready— accurate, traceable, governed, and responsibly sourced
• Partners across teams to support machine learning, generative AI, and advanced analytics use cases
• Strengthen risk and compliance frameworks
• Partner with Legal, Privacy, and Security to establish governance for data usage, consent, and ethical AI
• Identify and mitigate risks related to data sharing, automation, and emerging technologies
• Drive enterprise adoption and cultural change
• Champion data literacy, stewardship, and accountability across the organization
• Lead change initiatives to position data as a core enterprise capability
• Lead and scale a high-impact team
• Build and develop a strong team aligned to enterprise priorities
• Inspire collaboration and connect teams to broader business outcomes

VP, Data Governance and Strategy

Analyst

• Responsible for developing and maintaining long-term, short-term and intraday volume/demand forecasts
• Owns the creation and maintenance of strategic capacity models to align staffing levels with forecasted demand
• Combines advanced data analysis, scenario modeling, and cross-functional collaboration to support service level goals
• Translates complex data into actionable staffing strategies and serves as a key contributor to long-term planning and viewer experience

Senior Analyst, Forecast & Capacity Planning

• Provide advanced analytical, technical, and consultative support for compensation programs
• Translate complex compensation data and business requirements into scalable, technology-enabled solutions
• Partner with Finance and collaborate with HR to support compensation planning, analytics, reporting, and system administration
• Maintain core Compensation Senior Analyst responsibilities while serving as the administrator and subject matter expert for compensation systems, analytics, and market data
• Serve as a subject matter expert supporting job analysis, job evaluations, annual market pricing, salary structures, and incentive related analysis
• Provide education and upskilling to the HR Business Partner team in the areas of job analysis, job evaluations, annual market pricing, salary structures, and incentive related analysis
• Lead annual market pricing activities, including job matching, survey analysis, and provide recommendations to inform structure, range, and design
• Support the analysis and modeling, and administer incentive compensation programs ensuring internal equity, external competitiveness, regulatory compliance, and alignment with compensation philosophy
• Leverage compensation and workforce data to generate insights that support organizational planning, talent decisions, pay equity, labor cost management, and overall workforce effectiveness
• Design, build, and maintain advanced reporting, dashboards, models, and calculators to support compensation planning, merit cycles, incentives, and leadership decision making
• Analyze large, complex datasets to identify trends, risks, and opportunities related to pay, performance, and compensation program outcomes
• Present insights and recommendations through clear, executive ready summaries and visualizations
• Develop scalable reporting solutions that provide both enterprise wide visibility and targeted analysis for specific business units and leaders
• Serve as the administrator for internal compensation platforms, including system configuration, data governance, maintenance, audit support, and user enablement
• Perform business, data, and system analysis to assess compensation workflows, tools, and data flows
• Identify and implement opportunities for automation, workflow optimization, and system enhancements to reduce manual effort and improve accuracy
• Take a lead role in annual merit planning configuration, testing, and validation in coordination with PFCU HR
• Lead the workflow redesign of incentive and compensation processes to ensure operational consistency, audit readiness, and data integrity
• Manage participation and submission to external compensation survey providers, ensuring data accuracy, consistency, and adherence to timelines
• Ensure compliance with wage and hour laws, pay equity considerations, and internal compensation policies by remaining current on regulatory changes
• Manage multiple priorities and ad hoc requests in a fast-paced environment with changing business needs
• Support plan documentation, guidelines, tools, and other collateral to ensure consistent application of compensation programs
• Perform other duties as assigned.

Senior Compensation and Workforce Analyst

• Be a critical member of a team of engineers responsible for building the client player and playback experiences in BrightScript
• Contribute to the development of new application features
• Build tools and systems outside of the Roku apps
• Partner with Roku to evaluate new hardware
• Collaborate closely with cross-functional stakeholders

Senior Product Software Engineer, ROKU, Brightscript

Backend Engineer

• Design and implement solutions for new and existing features that integrate with various Disney media services and backend platforms.
• Design and implement solutions for Disney Media Player, internal tooling, and related dependent projects to support product and team needs.
• Collaborate on the design of Disney Media Player, including requirements gathering, debugging, and integration support for internal and external partners.
• Conduct R&D to support Disney Media Player experiences, integration, and testing.
• Participate in planning near and long-term work as well as team agile ceremonies and meetings.