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.

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.

Description: The Product Owner position will work directly with leaders and stakeholders of the Merchants Accounting, Risk, Internal Audit & HR teams to refine and implement technology solutions supporting strategic roadmap objectives. They will be focused on leading implementations through initial delivery and the ongoing maturity using a comprehensive agile software delivery framework with their team and business partners. A successful Product Owner will plan, implement, and support strategic software and data solutions that deliver business results. They will also educate and champion software delivery, application management and data governance best practices within the organization. The Product Owner should be able to do the following confidently and independently Plan and lead implementation of complex projects from initiation through go live. Partner with the Product Manager & business leaders to refine initial analysis of strategic roadmap objectives into detailed, prioritized, and executable backlog of work for delivery. Manage and prioritize a holistic product team backlog including: Strategic Business Goals Maturing technology capabilities Support, Scale and Continuous Improvement of existing solutions Regulatory and Ad-hoc business needs Help project delivery leadership to establish and coach business partners on software delivery and application management frameworks and best practices. Establish a strong partnership with Product Manager and business unit leaders to understand strategy, product, process, and goals to ensure technology solutions align. Provide input on strategic technology roadmap by maintaining a backlog of future value for your business partners. Guide and assist internal and vendor development teams. Requirements: What we are looking for 5-8 years leading complex, cross-team software implementations, with direct experience delivering solutions for accounting, finance, or treasury functions. Strong background of leading teams towards common goals without direct management. Strong communication and presentation skills required. Experience operating and executing within delivery frameworks (Scrum, Waterfall, etc.). Experience with Analytics solutions preferred. Mortgage and/or Banking industry experience preferred. Bachelor's degree required. Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more About Merchants Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana. Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (). For more information read the entire article here . PM20 PI7c69bcc9df68-7330

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.

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.

Butcher Power Products (BPP) designs and manufactures mission critical and industrial power solutions for essential infrastructure nationwide. Headquartered in Sacramento, CA, our teams collaborate closely across engineering, manufacturing, and operations to build reliable, high quality systems and take pride in delivering work that truly matters. The Role: As the Business Intelligence Manager, you run BPP's reporting environment day to day. Reporting to the Director of Data & Analytics, you build and maintain the Power BI reporting the business depends on, operate the Microsoft Fabric and Lakehouse environment, and directly manage the Data Analyst and Data Intern who support them. The Director sets platform architecture, governance standards, and KPI definitions-you execute against them, turning requests from Finance, Operations, Manufacturing, Inventory, Sales, and Projects into delivered, accurate, refreshed reporting while keeping the environment stable, performant, and documented. Key Responsibilities: Team Leadership & Delivery Management: • Day-to-Day Team Management: Direct the daily work of the D.A.T.A. Department's Data Analyst and Data Intern-assigning and reviewing work, unblocking technical issues, and developing skills through mentorship and peer review.• Delivery Planning: Translate department priorities set by the Director into scheduled work, communicate realistic delivery timelines to requesters, and report progress, blockers, and risk upward.• Standards Enforcement: Apply and enforce the department's data governance, documentation, naming, and development standards across all reporting work produced by the team. Reporting & Business Intelligence Delivery: • Report Development: Build, publish, and maintain the Power BI reports and dashboards that populate BPP's tiered reporting structure-executive summary, departmental detail, and transaction-level drill-through-spanning Finance, Operations, Inventory, Manufacturing, Sales, and Projects.• Report Catalog Ownership: Own the day-to-day lifecycle of the report catalog: intake, development, validation, release, version control, and retirement of obsolete content.• Request Intake & Prioritization: Run the reporting request queue-triaging incoming asks, scoping requirements with the business, setting delivery expectations, and escalating scope or resourcing conflicts to the Director.• Semantic Model Maintenance: Extend and maintain BPP's core Power BI semantic model within the shared dimensions, certified measures, and business definitions established by the Director-adding measures and tables as new reporting needs arise without fragmenting the model.• KPI Consistency: Ensure defined KPIs are calculated identically across every report, so the same metric returns the same number regardless of where it is viewed.• Self-Service Enablement: Publish certified datasets, report templates, and user documentation, and deliver hands-on training that lets business users answer their own questions without creating shadow reporting. Fabric, Power BI & Lakehouse Operations: • Workspace Administration: Administer Microsoft Fabric and Power BI workspaces day to day-workspace structure, deployment pipelines, workspace roles, app distribution, and promotion from development to production. • Lakehouse & Pipeline Operations: Operate and maintain the Lakehouse environment and the pipelines feeding it-monitoring ingestion from Dynamics 365 Finance & Operations, Sales Hub, and SQL sources, and resolving load failures before they reach the business.• Refresh & Performance Monitoring: Monitor refresh schedules, capacity utilization, and query performance-troubleshooting failures, optimizing slow models and reports, and reporting environment health to the Director.• Access & Security Administration: Administer report access, row-level security, and workspace permissions in accordance with the data governance and sensitivity standards defined for the department.• Capacity & Cost Monitoring: Track Fabric capacity consumption and licensing usage, flagging cost, throttling, and scaling risks with recommended remediation.• First-Line Support: Serve as first-line resolution for reporting and data issues routed through the enterprise intake and escalation model-driving them to closure and escalating platform- or ERP-level problems to the Director with clear root-cause detail. Cross-Functional Collaboration: • Requirements Gathering: Work directly with Finance, Operations, Inventory, Manufacturing, Sales, and Projects to turn operational questions into report requirements, validating that delivered output answers the question that was actually asked.• Data Validation: Partner with functional owners and departmental super-users to reconcile report output against source system records and confirm accuracy before release to the business.• ERP Change Coordination: Coordinate with the Director and implementation partners on how Dynamics 365 configuration and process changes affect downstream reporting, adjusting models and reports ahead of each release. Qualifications: Required: Experience: 5+ years in business intelligence, analytics, or data engineering, including 2+ years leading a small team or owning a production reporting environment; this role will manage a Data Analyst and Data Intern. Education: Bachelor's degree in Computer Science, Information Technology, Information Systems, Economics, Business Intelligence, or a related field. Team Leadership: Demonstrated ability to direct the daily work of a Data Analyst and Data Intern, review technical output, and develop staff, while partnering effectively with non-technical stakeholders across the business. Technical Mastery: - Advanced Power BI-DAX, Power Query, semantic modeling, deployment pipelines, and workspace administration.- Hands-on Microsoft Fabric experience-Lakehouse, data pipelines, notebooks, and capacity monitoring.- Strong SQL and dimensional (star schema) data modeling; working proficiency in Python (PySpark).- Working knowledge of Dynamics 365 Finance & Operations and Dataverse data structures. Desired: Domain Knowledge (Preferred): Experience with manufacturing data including Bills of Materials (BOMs), production orders, inventory tracking, and industrial supply chain logic. Traits That Fit BPP: • Operational Discipline: You treat a failed refresh or a wrong number as an urgent problem, and you build the checks that keep it from happening twice.• Service Mindset: You are responsive to the business, set clear expectations, and follow through on what you commit to.• Meticulous Ownership: You hold a high bar for data integrity, documentation, and delivery quality, and expect the same from your team.• Bias for Action: You move with urgency and decisiveness while never sacrificing quality or accuracy. Core Competencies: Technical Leadership: Coaches and guides the Data Analyst and Data Intern while maintaining high standards for BI delivery, documentation, and governance. Data Integrity & Quality: Applies rigor to validation, reconciliation, refresh monitoring, and KPI consistency. Business Partnership: Translates operational needs into clear reporting requirements and communicates progress, tradeoffs, and risks. Execution & Prioritization: Manages intake, delivery timelines, blockers, and competing business requests with urgency and clarity. Systems Thinking: Understands how ERP, Fabric, Lakehouse, semantic models, and downstream reports connect across the business. Continuous Improvement: Identifies opportunities to simplify reporting, improve self-service, and strengthen reporting standards. CompensationThe base pay range for this role is $115,000 - $140,000 per year. Equal Opportunity Employer Butcher Power Products is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know. Compensation ranges are provided in accordance with applicable state and local pay transparency laws. PI0a213d8205ba-8210

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson Corporation is seeking a highly skilled and experienced Senior Manager, Data Analytics to lead the development and delivery of data insights, reporting, and performance analytics that support the Sales Operations & Governance organization. This role partners with business leaders to translate strategic questions into actionable analytics, enabling data-driven decision-making across the organization. The Senior Manager will oversee a team responsible for developing dashboards, performance metrics, and analytical insights that improve operational efficiency, identify growth opportunities, and support key business initiatives. This role acts as the bridge between the business stakeholders and technical data teams, ensuring analytics solutions are aligned with business priorities and delivered with high quality and consistency. The idea candidate combines strong business acumen, analytics leadership, and stakeholder management skills to transform data into meaningful insights that drive performance. Key Responsibilities Lead Business Analytics Strategy Drive the development of performance metrics, dashboards, and analytics that enable Sales Operations & Governance leaders to make data-driven decisions. Manage and Develop the Analytics Team Lead and mentor a team of analysts responsible for reporting, dashboard development, and analytical insights. Establish priorities, ensure quality deliverables, and foster continuous improvement. Partner with Business Leaders Collaborate with Sales Operations & Governance and business stakeholders to identify analytics needs, translate business questions into analytical approaches, and deliver insights that drive action. Deliver Insights that Drive Performance Analyze business trends, operational performance, and customer metrics to identify opportunities for growth, efficiency, and improved decision-making. Oversee Dashboard and Reporting Solutions Ensure the development and maintenance of scalable dashboards and reporting tools using platforms such as Tableau, Power BI, or similar visualization tools. Bridge Business and Technical Teams Work closely with technology and data teams to ensure data quality, reporting infrastructure, and analytics solutions meet business needs. Establish Analytics Best Practices Define standards for reporting, dashboard governance, and analytics processes to ensure consistency, accuracy, and efficiency. Minimum Requirement Degree and typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience. Critical Skills 9+ years of experience in data analytics, business intelligence, or performance analytics 1+ years of people leadership experience Strong experience translating business questions into analytical insights Experience leading development of dashboards and performance reporting Proficiency with analytics tools such as Tableau, Power BI, or similar platforms Strong stakeholder management and communication skills Ability to simplify complex data into clear business insights Preferred Qualifications Experience supporting sales operations, commercial analytics, or business operations Experience working in healthcare, pharmaceutical, or distribution industries Experience with modern analytics platforms and cloud-based data environments (e.g., Databricks, Microsoft Fabric, Snowflake, Synapse). Experience with SQL or data querying tools MBA or advanced degree preferred Salary: 119 300.00 USD Annual with 20% MIP M3 This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $119,000 - $198,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Butcher Power Products, a Fresno-based manufacturer of electric motors and power transmission products, is seeking a Business Intelligence Manager to lead our data and reporting strategy. In this role, you will own BI tools, data models, and dashboards that support production, quality, supply chain, finance, and sales decisions. You will design ETL pipelines, establish data governance, and translate complex manufacturing and commercial data into clear, actionable insights. Partnering closely with cross-functional teams, you will develop KPIs, guide analytics projects, mentor BI staff, and present findings that drive operational efficiency, profitability, and customer satisfaction in a practical, hands-on environment.

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.

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.

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.

The Forward Deployed Process Analyst works directly with clinical, operational, and IDT teams to understand workflows, identify process issues, and define practical improvements that support business goals and user experience. This field-facing role focuses on workflow redesign, process improvement, user adoption, and technology-enabled operational change across platforms such as Skypoint, NextGen, Salesforce, and other approved enterprise systems. ESSENTIAL RESPONSIBILITIES Observes, documents, and analyzes clinical and operational workflows to identify inefficiencies, gaps, duplicate work, and process variation Defines future-state workflows and operational improvements that simplify work, improve efficiency, and support organizational goals leveraging data analytics, system integration, and AI Translates operational needs into clear workflows, requirements, user stories, and reporting needs for technology solutions Partners with the Forward Deployed Application Developer to design, test, refine, and improve platform-based solutions across Salesforce CRM, NextGen EHR, and Skypoint AI Agent platform. Leads workflow validation, user feedback, testing, and post-launch optimization activities Supports training, communication, adoption, and change management for new workflows and technology solutions Collaborates across clinical, operational, and technology teams to clarify business definitions, reporting requirements, and data needs Helps measure workflow improvements, operational outcomes, user adoption, and reduction in manual effort Maintains documentation of workflows, requirements, process changes, and operational decisions Frequent local travel Performs other duties as assigned JOB SPECIFICATION 4-8 years of experience in healthcare operations, workflow redesign, process improvement, business analysis, project management, and technology-enabled operational improvement initiatives; experience in Lean, or Six Sigma a plus Bachelor's degree in Business, Healthcare Administration, Information Systems, or related field preferred; equivalent experience considered Strong understanding of operational workflows and ability to simplify complex processes into practical solutions Strong facilitation, communication, organizational, and problem-solving skills Ability to work effectively with frontline staff, managers, executives, technology teams Ability to translate operational needs into clear business and workflow requirements Comfortable working with technology-enabled process improvement and enterprise applications Basic understanding of data, reporting, workflows, and user-facing systems Experience with system implementations, workflow redesign, user testing, or change management preferred Goal oriented, self-starter able to work independently and as part of a team. Healthcare, payer/provider, PACE, senior care, value-based care, or HIPAA experience preferred Covid vaccinated preferred Salary range: 85K to 110k EEO Statement Element Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability. Element Care is committed to valuing diversity and contributing to an inclusive working environment. Compensation details: 00 Yearly Salary PI7efd1bee2d09-0497

At Disney "We Power the Magic!" That's our motto at Disney Experiences (DX) Technology & Digital. Our team creates world-class immersive digital experiences for Disney's Consumer Products Business. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Senior Software Engineer will report to the Sr Manager, Technology. Please note that this role is not open to sponsorship of any kind at this time. (i.e.: OPT, H1B, TN). About the Role & Team We are seeking a talented Sr Software Engineer to drive and develop scalable and performing data and application integration through APIs and/or Data across Licensing Financial Systems and Artificial Intelligence Systems. This role will be instrumental in shaping the architecture, integration, 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 data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration. Apply machine learning and AI techniques to optimize licensing workflows Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions. Qualifications: A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems Hands-on experience with API Gateways/API management (Google Apigee) Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines. Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings Excellent programming skills in languages Java and Python. Experience with cloud platforms (AWS, GCP, or Azure) 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. A minimum of 3 years of experience with integration software Mulesoft Background in data engineering or applied AI in enterprise environments. Education: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree or certifications in AI, Data Science, or Financial Technology is a plus. The hiring range for this position in Glendale, California is $141,900 to $190,300 per year and in Orlando, FL is $135,200 to $181,200 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.

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.

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.

About the Firm Dunham & Jones is the largest Texas criminal defense firm representing clients across the state for over 35 years. We are hiring a Digital Manager of Organic Search & AI Optimization to assist the firm with its organic visibility across traditional search, local search, and generative AI platforms. This is an in-person position based in our Austin office. What you'll do Organic Search & Local Visibility • Own SEO strategy and execution across the firm's website and all city, county, and practice-area landing pages. • Build and defend rankings for high-intent local searches. • Manage and optimize Google Business Profiles across every firm location, including reviews, categories, service areas, photos, Q&A, and posting cadence. • Maintain citation accuracy and profile quality across legal directories and review platforms (Google, Avvo, Justia, FindLaw, Martindale-Hubbell, Yelp, and similar). • Oversee technical SEO health: site architecture, internal linking, page speed and Core Web Vitals, schema markup (LegalService, Attorney, FAQ, Review), crawlability, and indexation. AI Search & Generative Discovery • Measure and improve the firm's visibility inside AI-driven discovery channels - Google AI Overviews, ChatGPT, Perplexity, Gemini, and emerging assistants. • Structure content, entity data, and citations so the firm is retrievable and quotable by large language models. • Monitor AI-generated answers and correct inaccurate or reputationally damaging representations at the source. • Analyze social and community signals (Reddit, YouTube, TikTok, forums), feed AI answers and search results. • Evaluate, implement, and administer AI tools that support content production, keyword research, competitive monitoring, and intake workflows. Analytics & Reporting • Oversee SEO measurement end to end: build, QA, and maintain dashboards connecting rankings, impressions, visibility, traffic, calls, and signed cases. • Deliver a monthly performance report to firm leadership that translates data into plain-English recommendations and clear priorities - not a wall of metrics. • Identify performance shifts (algorithm updates, competitor moves, technical regressions) quickly, diagnose root cause, and recommend action. • Run competitive analysis against other Texas criminal defense firms: share of voice, SERP features, content gaps, backlink profiles, and AI citation share. • Design and measure experiments - page templates, title structures, schema approaches, content formats - and scale what works. • Maintain a prioritization framework that ties proposed SEO work to expected case value, so the backlog reflects business impact rather than effort. What We're Looking For R equired • 4+ years in SEO, organic growth, or digital marketing analytics, with demonstrated ownership of a site's organic performance. • Knowledge of ranking signals, search algorithms, technical SEO, and local search. • Hands-on experience with Google Search Console, Google Analytics (GA4), Google Business Profile, and at least one enterprise SEO platform (Ahrefs, Semrush, Moz, Screaming Frog, or similar). • Practical experience applying AI tools to marketing work. • Experience with CMS platforms and basic front-end concepts (HTML, structured data, page speed fundamentals). • Self-starter mindset. Preferred • Experience marketing for a lead-generation-driven professional service business. • Familiarity with legal intake and CRM systems, call tracking platforms, and lead attribution. • Multi-location or multi-market local SEO experience. • Working knowledge of SQL, Python, Looker Studio, or Power BI for data extraction and reporting. • Video and social content experience, particularly YouTube and short-form platforms. What We Offer • Competitive salary. • Medical, dental, and vision coverage. • Paid vacation, holidays, and sick leave. • 401(k) with employer match. • Life insurance and disability coverage. • Continuing education and professional development support. • Direct access to firm leadership and real ownership of a function that visibly moves the business. The pay range for this role is: 150,000 - 200,000 USD per year(Austin Office) PI18a40e4e6-

We are looking for a Digital Marketing Manager who takes initiative, thrives when busy, and can make marketing magic happen. This is not a post-and-pray role. We need someone who owns outcomes - someone who wakes up thinking about how to reach the right families at the right moment and move them to take action. In addition to running our digital marketing channels, you will play a key role in building and nurturing our referral partner network - organizing events and cultivating relationships with other professionals who serve our ideal clients. You will work directly with the firm's Fractional CMO, the firm's Founder, and the Director of Operations to design and execute a marketing engine that drives real, measurable growth. You will also bring deep expertise in artificial intelligence tools to work smarter, produce better content faster, and find opportunities others miss. What We Offer Competitive base salary of $85,000 - $95,000 plus performance-based bonuses Health and wellness benefits (Medical, Dental, Vision, EAP, Life, 401(k) match) Flexible work arrangements - hybrid Direct access to and mentorship from firm leadership, including the Founder and Fractional CMO A culture that values work-life balance and genuinely cares about your personal, professional, and financial growth Learning and development opportunities, including access to training, workshops, and career advancement resources A fast-moving, supportive team where high performers are recognized and rewarded How To Apply We require a completed application consisting of a resume, screening questions on Wizehire, and a detailed cover letter telling us what makes you a star player. If you are chosen for the next round in the interview process, we will send you a written interview to complete. After reading your written interview, we will choose a select few candidates to meet with in-person. Please do not call or visit our offices to inquire about this position! We will notify all applicants at the conclusion of our hiring process. Compensation: $85,000 - $95,000 yearly Responsibilities: Digital Marketing & Paid Advertising Plan, manage, and optimize Facebook Ads and Google Ads to consistently generate qualified estate planning leads Own SEO strategy and ensure our website is always fresh, technically sound, and ranking for the searches that matter most to our ideal clients Manage and grow our social media presence with content that informs, engages, and converts Track, analyze, and report on all campaign and channel performance - and use those insights to continuously optimize results Content Creation & Brand Building Create high-quality legal content, including blogs, website copy, glide paths, email nurture sequences, and educational guides that build trust and drive conversions Lead brand-building efforts across all digital and print channels, ensuring a consistent, compelling voice that resonates with families planning their futures Leverage AI tools (ChatGPT, Claude, Jasper, and others) to accelerate content production, optimize ad copy, analyze performance data, and automate repetitive tasks Seminars & Events Plan and execute live and virtual client seminars - from concept and promotion to logistics and post-event follow-up - that position Carolina Estate Planning as the premier estate planning resource in our market Organize and manage referral partner events, including workshops, appreciation dinners, and networking gatherings that strengthen relationships and drive warm introductions Referral Pipeline & Partner Network Build and maintain a robust referral partner network of financial advisors, CPAs, elder law professionals, wealth managers, senior care providers, and other centers of influence who serve our ideal clients Develop and execute a referral marketing strategy that keeps Carolina Estate Planning top of mind with partners and generates a steady pipeline of qualified introductions Create partner-facing content and communications - newsletters, event invitations, resource kits - that reinforce our value and deepen relationships Track referral activity and partner engagement, and report on the pipeline contribution of the referral channel to firm leadership Qualifications: What Success Looks Like in This Role Ad campaigns that consistently generate qualified leads with a measurable return on ad spend A growing referral partner network that delivers a reliable pipeline of warm introductions month over month Seminar and event seats that fill up, and attendees who convert into clients High-quality legal content that is SEO-optimized, reflects the expertise of our attorneys, and earns genuine trust from readers AI tools are integrated into the marketing workflow in ways that meaningfully save time and improve output quality A brand presence that is recognizable, trusted, and growing across Winston-Salem and the Durham-Chapel Hill market Proactive communication with leadership - you surface opportunities and flag issues before anyone has to ask Who You Are You have 3+ years of hands-on digital marketing experience, ideally in a professional services, legal, or financial services environment You have proven, results-backed experience running paid campaigns on Facebook and Google - you can show us the numbers You are genuinely proficient with AI tools and use them daily to enhance your work - not just as a talking point You have experience building referral relationships or partner networks and understand what it takes to turn a warm connection into a consistent pipeline You are a strong writer who can produce compelling long-form content that is accurate, engaging, and needs minimal editing You have experience planning and promoting events or seminars from concept through post-event follow-up You are data-driven and translate analytics into smarter decisions and better results You thrive in fast-paced, enterprising environments and do not need someone looking over your shoulder About Company At Carolina Estate Planning, we don't just practice law - we make people's lives better. We've built a culture where talented people thrive. That means genuine work-life balance, open and honest feedback, and a leadership team that's invested in your personal, professional, and financial success. Our core values: Integrity - We hold ourselves to the highest ethical standards, always. Everyone Gets Helped - Great legal work ripples outward. We show up fully for every person we encounter - client or not - because we're in the business of making people's lives better. 100% Accountability - We own our actions and our outcomes, no excuses. That standard applies at every level of the firm. Growth Mindset - We're committed to continuous learning and helping every team member reach their full potential. Rigor - The difference between good and exceptional lives in the details. We hold ourselves to a standard that sets us apart. Compensation details: 0 Yearly Salary PIcc20e0cb3f73-1091

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.

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.