The Walt Disney Company

Learning and Development

• Consult with the most senior business leaders, OD leaders, and People & Culture Business Partners to proactively and practically assess needs, develop recommendations, and manage projects to improve the performance and decision making of leaders, teams, and organizations.
• Deliver OD expertise to a variety of projects with senior leaders throughout TWDC, including strategy development, organization assessment, organization design, change and transition management, and culture transformation across a diverse set of clients.
• Continually develop and apply broad organizational knowledge to address TWDC and segment business and organizational challenges by recognizing patterns through an enterprise and systems thinking mindset.
• Leverage project management, relevant data, and leadership skills to simplify and facilitate complex work and maintain stakeholder alignment; develop project schedules, plans, and timelines.
• Continually invest in self-development and the evolution of the OD discipline by remaining current with new technologies, industry trends and innovations.
• Build trust and collaborate with teams in a global and virtual environment; partner and follow through effectively with People & Culture Business Partners and OD leaders across the company to transfer knowledge and skills, handling confidential information with integrity.
• Lead and develop other OD team members formally and informally through mentorship, project oversight, and the ability to influence without direct authority.
• Effectively prioritize resources and ensure speed in delivering high-impact work across a diverse set of businesses.
• Assist in ongoing evolution of TWDC, across business units and various functional areas.

Organizational Development Leadership Opportunity

General Counsel

• Lead a team of attorneys in advising on all product- and billing-focused matters affecting Disney’s SVOD, LIVE and premium add-on offerings, and serve as the escalation point for all critical issues
• Provide key counsel to the Product and Technology Organizations, Business Operations, and the Viewer Experience teams
• Serve as the main liaison between Disney’s DTC executive leadership and the legal team for critical matters affecting app experience, partner integrations and subscription offerings and billing
• Partner directly with Disney’s DTC business executives and team members in all phases of product launches and development, regulatory compliance and incident management
• Collaborate with business and legal subject matter experts across TWDC, including marketing, privacy, government affairs and litigation
• Understand the high-level business goals of the company and provide strategic guidance that marries the business and legal initiatives of the company
• Assess risk and offer creative solutions to problems in delivering general product and technology counseling in a rapidly-changing streaming industry

Assistant Chief Counsel, DTC Product

Product Manager

• Design and manage the full-cycle development of DCP technology products from ideation to delivery with an understanding of Disney’s PLM and DAM lifecycles
• Translate PLM and DAM governance goals into a technology product strategy and roadmaps by effectively communicating with global business partners
• Collaborate with engineering, design, architecture, and quality assurance partners to ensure development is in line with product strategy and roadmap
• Define processes for DCP applications and platforms, system specifications, and working parameters for software use and compatibility
• Develop Proof of Concept prototypes collaborating with engineering, architecture and technical operations
• Connect with users regularly to have a deep understanding of their needs, pain points, and how they experience your products
• Develop and document clear, actionable requirements and user stories for the development team, including well-defined acceptance criteria and alignment with test scenarios.
• Create supporting wireframes and business process models to visualize and validate proposed solutions.
• Participate in and influence technical discussions to solve complex business/system problems
• Prioritize the product backlog and make recommendations to business partners and leadership while considering trade-offs
• Establish product release plan and set expectations with new feature delivery
• Perform analysis across a complex integrated environment to assess data accuracy, troubleshoot issues, and answer partner questions
• Create user training documentation and host user training sessions for product adoption
• Demonstrate knowledge and mastery of Agile project methodology and change management principles

Senior Product Manager

Architect

• Architect and Deploy AI-Powered Media Solutions
• Design and build production-grade AI systems that integrate with Disney's existing broadcast infrastructure, including media asset management (MAM) systems, master control, and third-party broadcast tools (e.g., Evertz, Skyline DataMiner)
• Develop intelligent workflow automation solutions that bridge legacy broadcast systems with modern AI capabilities, creating seamless data flow between disparate platforms
• Build and deploy APIs and microservices that expose AI capabilities to production teams, enabling real-time insights and decision support during live operations
• Leverage large language models through APIs (OpenAI, Anthropic, Vertex AI, AWS Bedrock) and local models to create transformative solutions for content metadata generation, workflow optimization, and operational intelligence
• Design and implement sophisticated prompt engineering strategies and orchestration frameworks (LangChain, Model Context Protocol) to build reliable, production-ready AI applications
• Build and maintain robust MLOps pipelines for model deployment, monitoring, and iteration in cloud environments (AWS/GCP)
• Implement containerized AI services using Docker and Kubernetes, ensuring high availability and scalability for production broadcast systems
• Establish best practices for model versioning, performance monitoring, and operational reliability
• Partner directly with broadcast engineers, media operations teams, and cross-functional partners to understand workflow challenges and translate them into technical requirements
• Communicate AI capabilities and limitations clearly to non-technical stakeholders, building trust and understanding across the organization
• Prototype and demonstrate new AI capabilities to stakeholders, gathering feedback and iterating rapidly

Lead Broadcast Architect

Procurement

• Cultivates collaborator relationships by serving as a business partner, helping identify critical business needs, and providing sourcing support, both strategic and tactical, that exceed their expectations
• Supports cross-functional technology teams through full life-cycle sourcing projects including leading workshops, project planning & category management, analysis & strategy, supplier evaluation & selection, negotiations, and ongoing supplier relationship management
• Leads Requests for Proposals (RFPs) supporting stakeholders’ requirements to identify the best supplier options for software, cloud platforms, and technology services
• Relies on experience and judgment to achieve goals and adopts market intelligence and trending tools to drive strategy and vision
• Aligns resources globally to support collaborator requirements across geographies and leverage consolidation of vendors and technology standardization
• Builds and delivers compelling quantitative cost analyses, defines gaps and areas for improvement, and solution-focused presentations that influence key decision-makers
• Champions a collaborative environment among stakeholders and with other supporting teams (e.g., Legal, Finance, Segment-specific Sourcing teams, etc.), enabling roadmaps
• Leads a small Sourcing team and mentors staff to drive internal capability development and improve project synergies and supplier contracts rolling up into the categories

Manager, Strategic Sourcing – Technology

Manager

• Provide thought and people leadership, managing and mentoring a team of high performing analysts
• Develop and grow the team of analysts by reviewing analysts’ work for quality and completeness
• Create and curate the Advanced Analytics - Measurement roadmap by translating organizational goals and business needs into individual projects
• Develop new tools, statistical models, and analytics processes to grow first party measurement capabilities
• Balance business timelines with scientific rigor
• Lead clean room and external analysis development
• Partner closely with Ad Platforms, Data Science, and Data Strategy teams

Senior Manager, Advanced Analytics – Measurement

Machine Learning Engineer

• Lead the design and delivery of machine learning solutions across advertising use cases such as inventory forecasting, pricing, targeting, and efficient ad delivery
• Apply modern machine learning techniques to solve complex, real-time advertising problems
• Provide technical leadership for ML system architecture, modeling approaches, and production readiness within your domain
• Design, build, and scale ML architectures that balance model quality, latency, throughput, reliability, and cost
• Oversee the full ML lifecycle for owned systems, from experimentation through production deployment and iteration
• Design and maintain feature pipelines and feature stores supporting both real-time inference and offline training
• Partner with product and engineering stakeholders to translate requirements into clear technical plans and measurable outcomes
• Interpret experimental results and guide data-informed decision-making
• Ensure ML systems are observable, debuggable, and explainable in production
• Establish and maintain monitoring for model performance, drift, bias, and system health
• Champion engineering excellence through best practices in code quality, system design, testing, and operational reliability
• Mentor and support engineers through code reviews, design discussions, and ongoing technical guidance

Lead Machine Learning Engineer

Android Engineer

• Leading at a project or feature development level
• Overseeing the architecture and solution of a project or feature
• Collaborating and communicating with other platform and back end leads on end to end solutions
• Break down feature development tasks into manageable tickets that can be assigned to engineers and worked within a reasonable sprint cadence
• Effectively communicate project status and raise risks that may impact release schedule to leadership
• Coding, PR Reviews, Writing Tests
• Collaborating with QA and Automation Team
• Interacting with the Product Development team to review requirements and discuss feature development

Lead Software Engineer – Android

• Apply modern machine learning techniques to advertising use cases such as inventory forecasting, pricing, targeting, and efficient ad delivery
• Design, implement, and iterate on ML solutions from experimentation through production deployment and ongoing optimization
• Build and scale ML architectures that balance model quality, latency, throughput, reliability, and cost
• Design and maintain feature pipelines and feature stores supporting both real-time inference and offline training
• Own major components of the model lifecycle, including experimentation, validation, deployment, monitoring, and iteration
• Analyze experimental results and partner with product and engineering stakeholders to support data-informed decisions
• Ensure models are observable, debuggable, and explainable in production environments
• Implement monitoring for model performance, drift, bias, and overall system health
• Contribute to engineering excellence through high-quality code, sound system design, and operational best practices
• Provide technical guidance through code reviews, design discussions, and knowledge sharing

Senior Machine Learning Engineer

Security Engineer

• Independent audit support for: SOX 404 ITGCs PII PCI ISPS
• Perform control health checks and remediation testing procedures to address issues identified via audit assessments, internal or external audits, and/or other assessments
• Participate in audit walkthrough meetings to gain operational comfort in the design of the Company’s automated controls
• Perform impact analysis and risk assessment on deficiency findings and documentation associated with the assessment
• Perform control finding investigation and record in internal SOCD/SAD
• Provide requirements input to Development leads to identify and implement automation and efficiency opportunities to meet governance and compliance demands
• Provide program status updates to management
• Work with stakeholders to obtain audit evidence

Security Specialist

Product Designer

• Follow and advocate a user-centered, data-driven design process to clearly understand the motivations and behaviors of the Disney Streaming user, and design intuitive solutions that help them meet their goal
• Partner closely with multi-disciplinary teams, including research, engineering, product and business to find elegant and practical solutions
• Partner with researchers to validate solutions and practice evidence-based design
• Lead as a subject matter expert in your domain for the rest of the design team, providing design guidance, documenting and socializing best practices
• Provide thought leadership to develop the right design strategy, and use UX methodologies to bring value to the user and the business
• Rapidly concept multiple solutions at varied levels of fidelity, from sketches to wireframes to interactive prototypes, instinctively knowing the proper level of fidelity required to communicate your point of view and elicit the right type of feedback for the project stage
• Adhere to various design systems and brand guidelines, ensuring a high-level of quality, establishing a consistent look and feel throughout the product, and only diverging when the need is validated
• Work well autonomously, self-managing and taking full ownership of your work, from discovery to production, but also able to take direction and work within parameters
• Actively participate in feedback loops from design crits to 1:1s
• Embrace change and ambiguity, viewing it as an opportunity not a blocker

Senior Product Designer – Commerce/Growth

Data Analyst

• Develop analytical tools such as polling averages, election race ratings, county vote benchmarks, and other election metrics and newsroom-ready data tools
• Create editorial content based on polling results, analytical tools, and election data for broadcast, digital, and social platforms
• Explore unique angles in storytelling by writing compelling news stories using ABC News’ polling data and reputable outside polls
• Help ensure all ABC News platforms present polling and election data with appropriate context and journalistic accuracy
• Work with the Decision Desk in the design, implementation and testing of statistical models for election projections and analytical reporting
• Conduct analyses of early voting trends using voter files and related election data
• Assist the Director of Polling in overseeing the team that analyzes exit polls on election nights for real-time reporting across ABC News’ platforms
• Vet polls and social science studies from outside sources for the news division and provide guidance on reportability, accuracy, and newsworthiness

Data Analytics Manager – Polling & Elections

Data Engineer

• Partner with development and product leads to capture and understand software specifications and test requirements
• Evaluate software for intended functional capabilities and properties
• Design data quality metrics with accompanying queries and reports to be run on a consistent basis
• Effectively communicate findings with development and product teams to improve the product
• Run tests and generate reports on a consistent basis
• Work in an Agile environment that focuses on collaboration and teamwork

Data Engineer II

• Design, develop, and implement a new Associate Product Management Program
• Define the program vision, objectives, and success criteria aligned with organizational goals
• Design the rotational structure, including duration, functional assignments, and learning experiences
• Develop competency frameworks and career pathways for participants
• Collaborate with stakeholders across Product, HR, Talent Development, and Business Units to design rotations, learning experiences, and career pathways.
• Build detailed program components such as onboarding, training curriculum, mentorship models, and evaluation processes
• Create program documentation, policies, guidelines, success metrics and participant resources
• Partner with Talent Acquisition to design recruitment strategies targeting early career talent
• Lead end-to-end project management for program launch, including timelines, budgets, and resource allocation
• Coordinate cross-functional teams to ensure seamless execution of rotations and learning experiences
• Establish governance and reporting mechanisms to track progress and outcomes
• Identify and mitigate risks, ensuring timely delivery of program milestones
• Coordinate cross-functional teams to ensure alignment and execution
• Collaborate with APMs around program progress and support.
• Serve as the primary liaison with external learning vendors to design and deliver high-quality learning experiences
• Negotiate contracts, manage budgets, and ensure vendor deliverables meet program standards
• Monitor vendor performance and maintain strong partnerships to support program success
• Develop KPIs and measurement tools to assess program effectiveness
• Gather feedback from participants, managers, and stakeholders to refine program design
• Report on program impact and recommend enhancements to ensure scalability and long-term success.

Associate Product Manager – Project Lead

Technical Project Manager

• Own and drive planning for multi-quarter, cross-functional strategic roadmaps aligned with business goals and platform health.
• Lead execution of large, high-impact, multi-team initiatives with clear milestones, success metrics, and launch criteria.
• Establish operating and reporting mechanisms to ensure predictable delivery, quality, and readiness across organizations.
• Proactively surface implicit and downstream dependencies, including data contracts, SLAs, and shared infrastructure.
• Partner closely with TPMs across Ad Platforms to deliver upfront quarterly execution plans across the organization
• Translate complex technical concepts and risks into clear business and execution implications for product, engineering, and leadership.
• Act as a trusted technical and program leader for complex, ambiguous initiatives.
• Influence across engineering, product, data science, and business teams without direct authority.
• Raise the bar for technical rigor, planning discipline, and dependency management across the TPM organization.
• Mentor senior TPMs and contribute to program management best practices at the platform level.