36 jobs found

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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.

Department Description At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company. The Lead Data Platform Engineer position is one of the key technical leadership roles on the team. You will have the opportunity to be the Lead Engineer for major development projects related to data & analytics solutions and platforms. The first project this role will be responsible as the Lead Engineer for leading is the implementation of a Finance Data Layer-a data lakehouse that provides data to Finance systems and applications including an EPM system, BI reporting & analytics, and AI/ML applications. You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and project teams that work closely with each other and with our business partners to deliver innovative and industry-leading business solutions. What You'll Do: Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects. Designing and developing highly scalable, distributed enterprise data platform solutions. Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage. Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture. Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team. Being the ongoing technical lead for data platform products (post-implementation)-leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements. Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks. Excellent communication skills, ability to communicate well to both technical and business audiences Strong collaboration skills Required Qualifications & Skills: 7+ years of professional programming and design experience in Scala, Java, Python etc.; demonstrated experience designing and developing enterprise data solutions and platforms Demonstrated experience leading engineering initiatives on major software and data development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java, SQL Experience with Snowflake Preferred Qualifications: Experience with enterprise data domains is preferred (especially Finance and HR data) Experience with AI/ML Experience with SAP Systems (S4, BW, HANA, BDC) Experience with EPM Systems (e.g. Oracle EPM) Experience with Data Governance Experience with Master Data Management Experience with BI tools Required Education: Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Master's Degree a Plus The hiring range for this position in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700 per year and in Orlando, FL is $148,300 - $190,200 per year. 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.

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. This team works in office. What You Will Do As the Ontology/Semantic Librarian, you will lead the design, development, and governance of enterprise ontologies, semantic layers, and knowledge graphs that serve as the intelligent backbone for a modern federated data platform. This role combines deep semantic modeling expertise with hands-on implementation of graph technologies, vector databases, and federated data architectures to accelerate business value delivery. This role will make key contributions to the Data Unification initiative by enabling rapid discovery and utilization of our vast data assets across the Disney enterprise. Design and build enterprise ontologies and semantic models that align business objectives with technical implementation, ensuring rapid enablement of business use cases such as unified reporting, AI agents, data marketplaces, and cross-functional insights. Lead the creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs, clearly distinguishing and leveraging the strengths of each approach. Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly federated, heterogeneous data stores. Partner with data engineering, AI, and business teams to translate business goals into ontological models that drive measurable outcomes. Design and evolve the enterprise Data Catalog with rich semantic metadata, lineage, and governance capabilities. Contribute to the development of a unified data access layer that supports querying across Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and other sources through a single semantic interface. Implement and enforce enterprise security models (RBAC/ABAC, column/row-level security, and dynamic masking) through the ontology and semantic layer. Collaborate on AI integration initiatives, including building ontology-driven agents, RAG pipelines, and agent-to-agent communication protocols. Establish ontology governance processes, versioning, and lifecycle management to ensure scalability and consistency across the enterprise. Contribute to the internal Data Marketplace by defining semantic data products with clear business value and consumption models. Mentor team members on semantic technologies and best practices for ontology-driven data architecture. Required Qualifications & Skills 7+ years of experience in data engineering, data architecture, semantic technologies, knowledge engineering, or related fields with a strong technical implementation background. Deep expertise in ontology modeling (OWL, RDF, SKOS, SHACL) and graph technologies. Strong understanding of the differences between semantic layer graphs, knowledge graphs, and entity graphs and when to apply each. Hands-on experience with graph databases (Neo4j, Neptune, etc.) and vector databases for semantic search and LLM integration. Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. Experience building solutions on top of federated data architectures involving relational (PostgreSQL, Snowflake), document (MongoDB), object (S3), and streaming (Kafka) systems. Demonstrated ability to translate complex business goals into ontological designs that accelerate delivery of business value. Strong programming skills, particularly Python, SPARQL, Cypher, GraphQL, and SQL. Experience with modern data platforms, cloud services (AWS preferred), and infrastructure-as-code practices. Solid understanding of data governance, security (RBAC/ABAC, dynamic masking), and compliance in enterprise environments. Excellent communication skills with the ability to bridge business stakeholders and technical teams. Desired Qualifications Experience building ontologies in large, complex enterprises (especially with media, entertainment, hospitality, or consumer-focused businesses). Hands-on experience with Generative AI, LLMs, RAG architectures, and agentic systems. Familiarity with data marketplace or data product platforms. Prior work with Apache Iceberg, Trino/Presto, or similar federated query engines. Knowledge of semantic web standards and tools (Protégé, TopBraid, Stardog, etc.). Background in formal knowledge representation, taxonomy development, or master data management. Required Education Bachelor's degree and/or equivalent work experience Preferred Education Bachelor's degree in Computer Science, Information Systems, Data Science, Philosophy (with logic focus), Linguistics, or a related technical field (or equivalent experience). Master's degree or PhD in a relevant field (Semantic Technologies, AI, Data Science, or Computer Science). The hiring range for this position in Lake Buena Vista, FL is $148,300 to $198,800 per year, in Burbank, CA is $155,700 to $208,700 per year, and New York, NY or Seattle, WA is $163,100 to $218,700 per year. 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.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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.

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. This team works in office. What You Will Do As the Ontology/Semantic Librarian, you will lead the design, development, and governance of enterprise ontologies, semantic layers, and knowledge graphs that serve as the intelligent backbone for a modern federated data platform. This role combines deep semantic modeling expertise with hands-on implementation of graph technologies, vector databases, and federated data architectures to accelerate business value delivery. This role will make key contributions to the Data Unification initiative by enabling rapid discovery and utilization of our vast data assets across the Disney enterprise. Design and build enterprise ontologies and semantic models that align business objectives with technical implementation, ensuring rapid enablement of business use cases such as unified reporting, AI agents, data marketplaces, and cross-functional insights. Lead the creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs, clearly distinguishing and leveraging the strengths of each approach. Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly federated, heterogeneous data stores. Partner with data engineering, AI, and business teams to translate business goals into ontological models that drive measurable outcomes. Design and evolve the enterprise Data Catalog with rich semantic metadata, lineage, and governance capabilities. Contribute to the development of a unified data access layer that supports querying across Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and other sources through a single semantic interface. Implement and enforce enterprise security models (RBAC/ABAC, column/row-level security, and dynamic masking) through the ontology and semantic layer. Collaborate on AI integration initiatives, including building ontology-driven agents, RAG pipelines, and agent-to-agent communication protocols. Establish ontology governance processes, versioning, and lifecycle management to ensure scalability and consistency across the enterprise. Contribute to the internal Data Marketplace by defining semantic data products with clear business value and consumption models. Mentor team members on semantic technologies and best practices for ontology-driven data architecture. Required Qualifications & Skills 7+ years of experience in data engineering, data architecture, semantic technologies, knowledge engineering, or related fields with a strong technical implementation background. Deep expertise in ontology modeling (OWL, RDF, SKOS, SHACL) and graph technologies. Strong understanding of the differences between semantic layer graphs, knowledge graphs, and entity graphs and when to apply each. Hands-on experience with graph databases (Neo4j, Neptune, etc.) and vector databases for semantic search and LLM integration. Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. Experience building solutions on top of federated data architectures involving relational (PostgreSQL, Snowflake), document (MongoDB), object (S3), and streaming (Kafka) systems. Demonstrated ability to translate complex business goals into ontological designs that accelerate delivery of business value. Strong programming skills, particularly Python, SPARQL, Cypher, GraphQL, and SQL. Experience with modern data platforms, cloud services (AWS preferred), and infrastructure-as-code practices. Solid understanding of data governance, security (RBAC/ABAC, dynamic masking), and compliance in enterprise environments. Excellent communication skills with the ability to bridge business stakeholders and technical teams. Desired Qualifications Experience building ontologies in large, complex enterprises (especially with media, entertainment, hospitality, or consumer-focused businesses). Hands-on experience with Generative AI, LLMs, RAG architectures, and agentic systems. Familiarity with data marketplace or data product platforms. Prior work with Apache Iceberg, Trino/Presto, or similar federated query engines. Knowledge of semantic web standards and tools (Protégé, TopBraid, Stardog, etc.). Background in formal knowledge representation, taxonomy development, or master data management. Required Education Bachelor's degree and/or equivalent work experience Preferred Education Bachelor's degree in Computer Science, Information Systems, Data Science, Philosophy (with logic focus), Linguistics, or a related technical field (or equivalent experience). Master's degree or PhD in a relevant field (Semantic Technologies, AI, Data Science, or Computer Science). The hiring range for this position in Lake Buena Vista, FL is $148,300 to $198,800 per year, in Burbank, CA is $155,700 to $208,700 per year, and New York, NY or Seattle, WA is $163,100 to $218,700 per year. 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. 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.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. 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.

Department Description At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company. The Lead Data Platform Engineer position is one of the key technical leadership roles on the team. You will have the opportunity to be the Lead Engineer for major development projects related to data & analytics solutions and platforms. The first project this role will be responsible as the Lead Engineer for leading is the implementation of a Finance Data Layer-a data lakehouse that provides data to Finance systems and applications including an EPM system, BI reporting & analytics, and AI/ML applications. You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and project teams that work closely with each other and with our business partners to deliver innovative and industry-leading business solutions. What You'll Do: Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects. Designing and developing highly scalable, distributed enterprise data platform solutions. Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage. Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture. Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team. Being the ongoing technical lead for data platform products (post-implementation)-leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements. Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks. Excellent communication skills, ability to communicate well to both technical and business audiences Strong collaboration skills Required Qualifications & Skills: 7+ years of professional programming and design experience in Scala, Java, Python etc.; demonstrated experience designing and developing enterprise data solutions and platforms Demonstrated experience leading engineering initiatives on major software and data development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java, SQL Experience with Snowflake Preferred Qualifications: Experience with enterprise data domains is preferred (especially Finance and HR data) Experience with AI/ML Experience with SAP Systems (S4, BW, HANA, BDC) Experience with EPM Systems (e.g. Oracle EPM) Experience with Data Governance Experience with Master Data Management Experience with BI tools Required Education: Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Master's Degree a Plus The hiring range for this position in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700 per year and in Orlando, FL is $148,300 - $190,200 per year. 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.

This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per year. 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.

The Data Product team is seeking a Manager, Data Product Management to lead instrumentation across the News & Entertainment portfolio of digital products from world-renowned brands such as ABC, ABC News, Marvel, Freeform, FX, and National Geographic, among others. The data collection this team leads is the foundation for measurement across the portfolio - the clickstream telemetry and video consumption signal that determine what the business knows about product engagement and content performance. It's how some of the world's most recognizable brands understand how their content is consumed, which means it has to hold up when decisions get made - and building data the business can trust is at the heart of the work. You'll lead a team of Data Product Managers owning measurement strategy, platform configuration, and self-service enablement across the portfolio's digital and audience-measurement tools - consistently keeping the business on the right stack and evaluating emerging capabilities. You'll be the primary point of contact for senior leaders across both Product & Technology and the Disney Entertainment business, set a clear standard for rigorous measurement work, and own the roadmap for how data collection evolves across the portfolio. If you've held measurement quality across a complex multi-brand portfolio, stayed technical enough to catch what others miss, and stayed ahead of where measurement is heading rather than just reacting to it, we'd like to hear from you. Responsibilities and Duties of the Role : Lead and develop the team, setting the standard for N&E measurement and raising the bar across Product & Technology. Collect with intent - building the data foundation for intelligence about how the business's products and content perform. Own and evolve N&E measurement strategy across editorial, video, and audience measurement, sequencing multi-brand priorities and evaluating emerging capabilities. Drive execution across brands, resolving cross-team dependencies and staying ahead of delivery risk. Bring the technical depth to hold the team to a high bar - pressure-testing implementations, event and schema specs, and quality standards across the measurement stack. Own data quality outcomes across the portfolio, closing coverage gaps before downstream teams do. Ensure stakeholder needs become measurement specs and platform configurations that scale across brands, increasingly AI-assisted and built with engineering. Serve as the single point of contact for senior leadership across N&E's brands, translating their priorities into measurement direction. Partner with Data Engineering, Product Engineering, Product Management, and Business Operations across the N&E portfolio. Manage relationships with enterprise platform partners, ensuring Disney realizes the full value of those investments. Represent the team's strategy to senior leaders across the company. Basic Qualifications 8+ years in data product management, data instrumentation, or digital analytics implementation. Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for both performance and the team's standards. Fluency with AI tools in your own work, and a track record of raising that bar across your team. Deep expertise across enterprise analytics and instrumentation platforms - capable of setting the standard for how the work gets done, not just overseeing it. Strong product sense: you've owned strategy and roadmap for a measurement product or portfolio with clear outcome accountability. Proven ability to represent measurement priorities, tradeoffs, and risks to senior stakeholders across a multi-brand portfolio. Track record of cross-functional execution across Product Engineering, Product Management, Analytics, QA, Research, and Program teams in matrixed organizations. Strong command of the modern cloud data stack and how instrumented data flows downstream. Clear communicator who can make complex technical topics accessible and actionable for any audience, including executives. Preferred Qualifications Experience leading measurement for News, Media, or content-driven digital products at scale: editorial, video, audience measurement, or content performance analytics. Experience managing measurement across a multi-brand or multi-property portfolio with shared quality standards. Data observability experience: monitoring platforms and pipelines for quality, freshness, schema drift, and completeness. Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in consumer-facing products. Experience enabling self-service analytics across a large organization. Advanced degree in Product Management, Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science , Engineering, Business, Analytics, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $179,700 - $241,000 per year, in San Francisco, CA is $187,900 - $252,000 per year, and in Santa Monica, CA and Bristol, CT is $171,600 - $230,100 per year. 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.

Take full ownership of complex projects, ensuring definition, documentation, and the use of appropriate project management tools and processes. Oversee project resources, financials, and effectively manage the expectations of key stakeholders. Manage department budgets, invoices and allocations, inclusive of alignment to appropriate business initiative/capability. Identify and address stakeholder communication needs, translating engagement strategies into actionable deliverables. Serve as a primary contact for stakeholders, facilitating open discussions, promoting understanding, and disseminating key technical and business information. Oversee vendor relationships, ensuring performance aligns with key indicators, and address potential disputes or conflicts proactively. Utilize vendor performance data for benchmarking, informing development roadmaps with vendor expertise, and managing service improvements while considering contract negotiations. Contribute to solution architectures across specific domains, evaluating alternatives based on cost, performance, and scalability, while documenting key decisions. Craft specifications for both cloud and on-premises components and ensure that solutions align with enterprise architecture standards, including security, while supporting project and change initiatives with technical plans. Ensure team follows the corporate information security policies, standards, and guidelines, ensuring architectural principles are applied during design to reduce risk and drive their adoption and adherence. Develop code, scripts, and designs per business requirements when needed. Conduct and lead design, code, and configuration reviews. Participate in Agile rituals including daily standups, iteration planning, story huddles, retrospectives, creation of burn up charts inceptions, documenting technical work in technical stories using JIRA board, and estimating (using agile points/story sizing techniques) the work effort required to complete those stories. Design complex software applications, components and modules using appropriate modelling techniques following agreed software design standards, guidelines, patterns and methodology. Develop roadmaps to communicate future development activity. Provide technical leadership, coaching, and mentoring to onshore and offshore team members. Conduct market research, competitor analysis, and stay ahead of emerging trends. Oversee/coordinate supporting technical work required with other Five Below IT teams, including infrastructure (e.g., network, DevOps) and upstream and downstream system owners (warehouse management systems, order management systems, InfoSec, etc.). Collaborate with product and system teams to ensure thorough test coverage and identify areas for process enhancement. Analyze and report on test outcomes, including results, challenges, and risks, even when reviewing others' work. Plan and drive development projects which support the organizations objectives and plans. Identify and evaluate alternative design options and trade-offs. Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Lead the design and refinement of complex software configurations for deployment, collaborating on method and tool selection, ensuring adherence to standards for quality outcomes, and actively engaging in both self-review and peer-review processes. Collaborate closely with the operations team to conduct root cause analysis on intricate challenges, ensuring a thorough understanding and resolution. Lead the planning and design of release packages, collaborating with teams on scheduling and post-release reviews, and ensuring effective release processes and procedures, including rollback capabilities. Identify, evaluate, and manage the adoption of appropriate release and deployment techniques, processes, and automation tools. May work remotely. Education and Experience Requirements Requires a Bachelors degree in Computer Science, Engineering, or a closely related field and 5 years of IT experience. Must have experience with: retail industry; retail systems and infrastructure including merchandising, planning, reporting, analytics and store operations; on-premises and cloud infrastructure solutions; solution consulting; omnichannel implementation including Xstore POS, Order Management System, Order Broker, and Customer Engagement; stakeholder management, team coordination, and delivery of IT solutions; transformation projects including introducing new business processes; Java; Spring; Kafka; Microsoft Azure; and Oracle Retail. Telecommuting/Remote Work is Permitted May work remotely. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

VETS, Inc., is looking to add an experienced Analytics and Reporting / financial auditability and transportation logistics analyst to our growing team. This is a full time, permanent position with full benefits. Due to contract requirements, this position requires US Citizenship. We're seeking successful, experienced Data Analytics/Reporting SME to join our team in implementing a cutting-edge software system that will transform how USTRANSCOM manages finances and supply chains. The SME will collaborate with cross-functional teams to understand their data needs and deliver actionable insights. If you're passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management. Responsibilities: Lead a team of data analytics and reporting while working with large datasets, creating automated workflows, and providing expertise in data preparation, blending, and analysis. Design, develop, and maintain complex Alteryx workflows for data preparation, blending, and analysis. Perform in-depth data analysis using Alteryx to identify trends, patterns, and insights. Create comprehensive reports and dashboards that communicate data-driven insights to stakeholders. Ensure data accuracy, integrity, and consistency within Alteryx workflows implementing corrective data quality actions as needed. Analyze business processes and workflows to identify opportunities for improvement using Alteryx. Qualifications: Required: US citizen with Secret security clearance or ability to obtain/maintain Secret clearance upon hire Responsible for the successful execution of the programs strategic data management and integration 5+ years of experience in data analytics, with a strong focus on Alteryx., preferably in government or defense sectors Extensive experience with ERP systems, particularly in implementation and data migration Advanced proficiency in Alteryx Designer and Alteryx Server. Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI) Experience with large-scale data migration projects Strong verbal and written communication skills with the ability to effectively communicate plans and strategies to executive level positions Familiarity with DoD logistics systems is highly desirable Strong understanding of data governance principles, practices, and tools. Knowledge of metadata management and data cataloging solutions. Bachelors degree in information systems, engineering, operations research, or a related field Desired: Agile certification (SAFe) and experience working in an Agile environment SAP expertise (public sector/DoD preferred) Direct experience with commercial and Federal supply chain best practices

At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 per year. 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.

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 per year. 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.

Department Description At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: The Data Solutions & Platforms group is part of Enterprise Technology & Data. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics, AI and Automation used by business teams across The Walt Disney Company. The Data Architect position is one of the key roles on the team. You will have the opportunity to lead and influence the architecture for several strategic programs that will shape the future of data, analytics and AI for The Walt Disney Company. Architecting data platforms and designing data products will be a focus for the role in support of the company's Data Unification strategy. You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and engineering teams that work closely with each other and with business leaders to deliver innovative and industry-leading data solutions. What You'll Do: Architecting high-scale, secure and interoperable data platforms across the enterprise to enable AI and analytics applications Architecting data domains and designing data products to be shared across the enterprise Architecting cross-segment semantic layer and data catalog solutions Designing an agentic architecture for exposing data from enterprise data lakehouse domains to AI applications Developing MDM strategy and architecting MDM solutions for complex enterprise domains (e.g., Finance, HR) Required Qualifications & Skills: 7 years+ experience in data architecture and developing enterprise data, analytics and AI solutions Experience architecting and developing high-scale cloud data platforms Experience architecting and developing master data management solutions Experience with data governance Experience with Snowflake Experience with AI/ML Strong communication skills, ability to communicate well to both technical and business audiences Strong collaboration skills Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience The hiring range for this position in Orlando, FL is $148,300 - $198,800 per year and in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700. 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. 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.

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. This team works in office. What You Will Do As the Ontology/Semantic Librarian, you will lead the design, development, and governance of enterprise ontologies, semantic layers, and knowledge graphs that serve as the intelligent backbone for a modern federated data platform. This role combines deep semantic modeling expertise with hands-on implementation of graph technologies, vector databases, and federated data architectures to accelerate business value delivery. This role will make key contributions to the Data Unification initiative by enabling rapid discovery and utilization of our vast data assets across the Disney enterprise. Design and build enterprise ontologies and semantic models that align business objectives with technical implementation, ensuring rapid enablement of business use cases such as unified reporting, AI agents, data marketplaces, and cross-functional insights. Lead the creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs, clearly distinguishing and leveraging the strengths of each approach. Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly federated, heterogeneous data stores. Partner with data engineering, AI, and business teams to translate business goals into ontological models that drive measurable outcomes. Design and evolve the enterprise Data Catalog with rich semantic metadata, lineage, and governance capabilities. Contribute to the development of a unified data access layer that supports querying across Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and other sources through a single semantic interface. Implement and enforce enterprise security models (RBAC/ABAC, column/row-level security, and dynamic masking) through the ontology and semantic layer. Collaborate on AI integration initiatives, including building ontology-driven agents, RAG pipelines, and agent-to-agent communication protocols. Establish ontology governance processes, versioning, and lifecycle management to ensure scalability and consistency across the enterprise. Contribute to the internal Data Marketplace by defining semantic data products with clear business value and consumption models. Mentor team members on semantic technologies and best practices for ontology-driven data architecture. Required Qualifications & Skills 7+ years of experience in data engineering, data architecture, semantic technologies, knowledge engineering, or related fields with a strong technical implementation background. Deep expertise in ontology modeling (OWL, RDF, SKOS, SHACL) and graph technologies. Strong understanding of the differences between semantic layer graphs, knowledge graphs, and entity graphs and when to apply each. Hands-on experience with graph databases (Neo4j, Neptune, etc.) and vector databases for semantic search and LLM integration. Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. Experience building solutions on top of federated data architectures involving relational (PostgreSQL, Snowflake), document (MongoDB), object (S3), and streaming (Kafka) systems. Demonstrated ability to translate complex business goals into ontological designs that accelerate delivery of business value. Strong programming skills, particularly Python, SPARQL, Cypher, GraphQL, and SQL. Experience with modern data platforms, cloud services (AWS preferred), and infrastructure-as-code practices. Solid understanding of data governance, security (RBAC/ABAC, dynamic masking), and compliance in enterprise environments. Excellent communication skills with the ability to bridge business stakeholders and technical teams. Desired Qualifications Experience building ontologies in large, complex enterprises (especially with media, entertainment, hospitality, or consumer-focused businesses). Hands-on experience with Generative AI, LLMs, RAG architectures, and agentic systems. Familiarity with data marketplace or data product platforms. Prior work with Apache Iceberg, Trino/Presto, or similar federated query engines. Knowledge of semantic web standards and tools (Protégé, TopBraid, Stardog, etc.). Background in formal knowledge representation, taxonomy development, or master data management. Required Education Bachelor's degree and/or equivalent work experience Preferred Education Bachelor's degree in Computer Science, Information Systems, Data Science, Philosophy (with logic focus), Linguistics, or a related technical field (or equivalent experience). Master's degree or PhD in a relevant field (Semantic Technologies, AI, Data Science, or Computer Science). The hiring range for this position in Lake Buena Vista, FL is $148,300 to $198,800 per year, in Burbank, CA is $155,700 to $208,700 per year, and New York, NY or Seattle, WA is $163,100 to $218,700 per year. 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. 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.

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 per year. 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.

At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 per year. 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.