28 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. 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.

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. 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.

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.

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! At Credit Acceptance, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we're seeking an experienced Senior Staff Cloud Engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you'll have an immediate impact on the day-to-day efficiency of our IT infrastructure and an ongoing impact on our overall growth. The Senior Staff Cloud Engineer owns the cloud and is responsible for architecture, administration, maintenance and availability of all cloud infrastructure and supporting tools. Additionally, Senior Staff Cloud Engineer demonstrates and encourages a culture of automation, orchestration and efficiency. The position is key to driving cloud strategy that is consistent with the department and business goals. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Provide thought leadership and build cloud solutions that deliver high impact business value and deliver customer delight Lead the design and implementation of cloud solutions that are scalable, reliable, and maintainable Collaborate with a diverse cross functional team including business partners, Product Managers and designers to define product requirements, direction and clarity Drive technical innovation and improvements of the design and architecture of cloud systems towards leading edge technologies and practices at the organization level Define, develop and drive cloud engineering best practices Become an expert in the business process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct impact analysis to proactively identify impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class Cloud systems Debug the critical problems which arise in production and execute effective solutions Anticipate customer needs and industry shifts to improve design and overall engineering practices Participate in talent selection and mentoring team members Develop standard architectural practices and lead solutions development across partner engineering groups Define and document best practices and strategies regarding cloud deployments and maintenance Ensure application performance, uptime, and scale, maintaining high standards of quality and thoughtful design Conduct routine environment audits of cloud accounts for compliance with established standards, policies, configuration guidelines and procedures Maintain a comprehensive cloud library of all supporting documentation Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Minimum of 10 years of experience designing scalable Cloud/Hybrid environments with a strong background in AWS and Azure Experience developing and managing Infrastructure as Code, leveraging tools such as Terraform, Ansible, GitHub, etc. Experience in the lead role overseeing technical direction for multiple Cloud/Platform/Development/DevOps/SRE teams Extensive experience with building and driving adoption of Cloud engineering best practices Experience driving impact on mission-critical enterprise class applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud/Data Center environment supporting various multi-tier and microservice applications Experience with SaaS, PaaS, and IaaS deployments in the Cloud Experience developing and maintaining performance metrics and graphs Experience with other clouds like Oracle and Google Experience with backup and data protection technologies Experience with patching tools Experience with virtualization environments Experience with observability and alerting tools like PagerDuty Ability to use Excel or similar tool(s) to provide value from various data sources Experience working with monitoring/trending software such as CloudWatch, ELK, Splunk, etc Expert knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control and automated compliance enforcement Knowledge and Skills: Expert knowledge of cloud best practices with experience building complex software engineering products Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated ability to coach business partners, cross functional team members, and mentor senior-level members Proven track record driving continuous improvements with cloud technology Proven ability to drive automation and build self service capabilities for Software Engineers Development of automation scripts in various automation, orchestration, scripting, or programming languages Ability to right-size cloud infrastructure with cost, and performance in mind Target Compensation: A competitive base salary range from $161,000 - $237,000. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge . click apply for full job details

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details

Project Lead 3 (Hybrid) Primary Location: Austin, Texas V-Soft Consulting is currently hiring for a Project Lead 3 for our premier client in Austin, Texas. WHAT YOU'LL NEED: Technical Requirements and Certifications " Project Management Professional (PMP) certification is required. PMP, PgMP, PMI ACP, SAFe, or similar project management certification preferred. Education and Experience " Experience leading technical projects or programs in data, analytics, and cloud environments.: 10 years. Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.: 10 years. Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.: 10 years. Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.: 10 years. Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.: 10 years. Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.: 10 years. Proven leadership skills managing cross-functional teams, vendors, and complex project timelines.: 10 years. Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.: 10 years. Experience defining project scope, objectives, milestones, timelines, and success metrics.: 10 years. Experience with project budgeting, forecasting, resource planning, and financial status reporting.: 10 years. Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.: 10 years. Strong documentation skills for project plans, charters, schedules, and lessons learned.: 10 years. Working knowledge of cloud platforms, data systems, or enterprise applications.: 10 years. Proactive leadership style with strong attention to detail and ability to work independently.: 10 years. Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts is highly desirable, along with strong communication and organizational skills. Preferred: Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.: 8 years. Healthcare industry experience preferred.: 8 years. Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.: 8 years. Strong consulting and facilitation skills.: 8 years. Customer-focused communication skills with the ability to engage all levels of the organization.: 8 years. Proactive leadership style with strong attention to detail and ability to work independently.: 8 years. Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.: 3 years. TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications preferred: 3 years. WHAT YOU'LL DO: Job Responsibilities: Responsible for the planning, coordination, requirements gathering, business analysis, specifications development, project planning, project monitoring, and project status reporting and system implementation of moderate to complex business solutions. This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables, supporting platform and data engineering initiatives, and ensuring alignment between business, engineering, and AI stakeholders. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

LOCATION: can sit in either Jersey City or NYC (1 NY Plaza) - Hybrid: 3 days in office, 2 days remote HM: "Consulting experience is a plus however the role is primarily an automation and data analytics position. We are looking for someone with advanced technical background in building automation solutions." TOP SKILLS 1. Minimum 5 years' experience 2. BACHELOR'S REQUIRED in Business or Computer Science or related field 3. Data fluency 4. Certification in automation tools preferred Automation Initiatives - Wealth Management Operations- TEMCO Job Summary: We are seeking an Associate to support and drive automation initiatives within our Wealth Management Operations division. In this role, you will balance technical development skills with business analysis and stakeholder engagement. You will work closely with operations teams to identify high-impact process automation opportunities and implement solutions using RPA platforms (such as UiPath, Power Automate, etc ) and scripting languages (Python, VBA, SQL, etc.). The ideal candidate has a strong understanding of operational processes and controls, experience delivering automation projects, and excellent communication skills to ensure successful adoption of new solutions. Responsibilities & capabilities • Process Analysis & Opportunity Identification: Work with TEMCO teams to uncover automation use cases, evaluate feasibility and potential value, and prioritize quick-win opportunities. Clearly document business requirements, acceptance criteria, and expected outcomes for each initiative. • Automation Solution Design & Development: Translate business and control requirements into robust automation solution designs. Design, build, test, and deploy automation solutions using RPA tools, workflow automation software, and scripting technologies. Ensure solutions are scalable, resilient, and meet performance expectations. Support user acceptance testing (UAT), rollout, and operational readiness for all automation deployments. • Stakeholder Engagement & Change Adoption: Serve as a liaison between technology teams and business stakeholders in operations. Provide training and guidance to operations staff adopting new automated processes to ensure smooth transitions. After implementation, highlight achieved improvements and value to encourage organization-wide support for automation initiatives. • Production Support & Continuous Improvement: Monitor and support production automations, promptly investigating and resolving any incidents or exceptions to minimize business disruption. Perform root-cause analysis on automation failures and implement enhancements to prevent recurrence. Gather feedback post-implementation and drive continuous improvement of automation solutions and processes. Identify opportunities to reuse components and implement best practices to increase efficiency and consistency across Wealth Management Operations automation projects. • Communication & Reporting: Provide transparent updates on project status, risks, and realized benefits to stakeholders and leadership. Ensure any risks or issues are escalated in a timely manner and that project milestones are well-communicated.

Position Title: Staff Data Scientist Description: Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Job description: - Title: Product Manager Location: Columbus, OH Duration: months Additional Job Details: Note : preferred W2 Quantum matrices Experience candidates is mandatory Key Responsibilities of the Product Manager: As a Product Manager, you will play a pivotal role in driving value for customers by developing a growth roadmap for a Digital Behavioral Analytics platform on a large scale. You will work collaboratively in a dynamic environment to partner with product leaders to develop strategies for growing the use of the platform and measuring the customer and business value that result from improving the user experience. You will be responsible for evaluating the business value of various opportunities and then deploying the product/platform in a way that delivers on the highest value opportunities-you'll influence leadership and work to gain buy-in, support, and momentum at every step of the way. Responsibilities: Develop Product Strategy and Vision: Create a product strategy and vision that delivers value to customers. Product Backlog Management: Own, maintain, and develop a product backlog that supports the overall strategic roadmap and value proposition. Track Success Metrics: Build the framework and track key success metrics such as cost, feature and functionality, risk posture, and reliability. Enhancement Prioritization: Collaborate with the Product team to prioritize enhancements for web optimization. Opportunity Identification: Identify areas of opportunity including process improvements, training opportunities, team building, and success sharing. Concept Presentation: Present concepts and work to peers and leadership, and communicate and train cross-functional teams on best practices. Requirements: Experience: 5+ years of experience or equivalent expertise in product management or a relevant domain area. Product Development Knowledge: Advanced knowledge of the product development life cycle, design, and data analytics. Leadership in Product Life Cycle: Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management. Digital Analytics Expertise: 5+ years of experience in digital analytics, implementing and using digital tools such as Adobe Analytics, Glassbox, Quantum Metric to deliver business value. Agile Development Experience: Experience working in Agile development environments and using common design, documentation, and software development tools (Figma, Workflow, Confluence, JIRA, content management tools). Consensus Building: Ability to build consensus and influence a successful design approach by knowing when and how to use content (and when not to). Communication Skills: Excellent verbal and written communication skills, grammar, spelling, punctuation, and usage, as well as the Associated Press (AP) style guide. Project Management Skills: Exceptional project management skills, including the ability to manage schedules, deadlines, contributors, and stakeholders for multiple projects. Attention to Detail: Strong attention to detail, accuracy, and quality. Nice-to-have: Scaling a platform: Proven experience in growing adoption of an internal platform across multiple stakeholder teams. About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in and . Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control. Want to read more about Tanisha Systems? Visit us at Website Open Jobs

Serve as a key contributor to the development and maturation of the Credit Union's Third-Party Risk Management (TPRM) program, ensuring alignment with strategic goals and regulatory requirements. Assess, monitor, and mitigate third-party risks while supporting comprehensive due diligence and managing risk frameworks. Collaborate with internal teams-including Office of General Counsel, IT, and Procurement-to address and resolve risk-related issues. Track and manage remediation efforts, analyze TPRM KPIs and KRIs to provide actionable insights, and support procurement reporting and analytics to enhance program effectiveness. This position is hybrid. NYC Salary Range: $105,000 - $120,000 annually: compensation is commensurate to geographic location. • Regardless of seniority or role, uphold UNFCU's mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors. • Support the TPRM framework to ensure alignment with organizational objectives and regulatory requirements, with primary responsibility for tracking of end to end third party risk assessment process, which includes risk reviews, documenting findings in the risk register, coordinating follow-ups with the third parties and the business unit owners, and facilitating the collaboration and documentation of the related risk acceptance with the business unit owner. • Assist in maintaining TPRM & Vendor Management processes, ensuring oversight, tracking, and documentation are in full compliance with TPRM policy. • Collaborate with risk domain SMEs (i.e., Third party risk assessor, Procurement team, Office of General Counsel, Information Security, Enterprise Risk Management, Compliance etc.) to align various risks, third party security events, and business unit goals with UNFCU risk appetite and support the VP TPRM with any escalations. • Serve as a designated alternate to the TPRM analyst in the vendor management review and sign off in the Vendor Management tool. • Partner with TPRM analyst to engage in TPRM policy compliance discussions with the business unit owners. • Partner with Procurement Manager on Quarterly Third-Party Performance survey discussions with the business unit owner and informing VP TPRM, as necessary. • Support the Procurement team in Contract Management activities including the development and execution of the Contract Management Program. • Serve as the primary liaison between TPRM and Business Continuity teams to ensure third-party business continuity risks are identified, assessed, and addressed. • Ensure third-party continuity risks are integrated into UNFCU's resilience planning and remediation efforts. • Support the VP TPRM and the Procurement Manager as needed in TPRM and Procurement KPI/KRI Reporting & Analytics. • Support the planning, execution, and documentation of Third-Party Risk assessments completed by the UNFCU third party risk assessor, across business units. • Lead the TPRM Issue Management process. Maintain, track, and report all third-party issues & events in collaboration with UNFCU Incident Management team. • Collaborate with business unit owners to communicate findings, develop risk mitigation strategies, and provide insights that support the TPRM Framework. • Support ongoing monitoring and risk-remediation activities by assisting in tracking vendor exceptions and issues, updating risk profiles, and documenting remediation steps. • Lead, execute & document the third-party termination process in collaboration with the business unit owner, Office of General Counsel, Information security teams and the third party. • Partner with VP TPRM to proactively identify and implement opportunities to enhance TPRM processes, reporting mechanisms, and the overall control environment driving efficiency and effectiveness within key focus areas. • Stay informed with industry updates, new regulations, and best practices in risk management to ensure the ongoing effectiveness of the TPRM Framework and its alignment with regulatory expectations and industry benchmarks. • Perform additional responsibilities and ad-hoc projects as required to support the TPRM & Procurement Department. • Ensure compliance with federal and state laws and regulations and UNFCU's Code of Ethics & Business Conduct. • Bachelor's degree with equivalent experience. • 4 years TPRM experience with Procurement expertise. • Advanced Microsoft Office proficiency; skilled in data visualization and reporting tools (Power BI, Tableau) to generate actionable insights. • Skilled in assessing third-party risks, managing security control evaluations, and implementing risk mitigation strategies. • Knowledgeable in data privacy and enterprise/member data management, collaborating with business units and key stakeholders including Procurement, Office of General Counsel, and Information Security. • Strong verbal, written, and interpersonal skills; able to present metrics and reports to leadership while working effectively both independently and in team settings. • Detail-oriented and proactive, skilled at managing multiple projects under pressure while prioritizing effectively. • Experienced in challenging business unit decisions using TPRM principles, data classification, and regulatory guidance, and driving process improvements and operational efficiencies.

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! As a Business Intelligence Manager II, you will lead a small to medium-sized team focused on delivering data-driven insights and reporting solutions. Your team will be responsible for building data literacy and advocating for data needs upstream and early in the process. There will be a focus on enabling Self Service via semantic layers, using a product happy path approach to ensure data driven decision making and actionable insights. You and your team will act as strategic partners to the business, while taking ownership of enterprise dashboards/reports to drive and champion success. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Lead the development and maintenance of BI dashboards, reports, and data models to support business operations and strategy. Collaborate with PMO, Product, Stakeholders, and Engineering to align data initiatives in the department with business goals. Drive the adoption of AI and advanced analytics to enhance business intelligence capabilities, improve efficiency, and generate actionable insights at scale. Maintain a prioritized backlog of tasks and ensure clarity and cleanliness of data pipelines and reporting artifacts. Partner with infrastructure and data engineering teams to ensure optimal performance of BI tools and platforms. Demonstrate deep understanding of data sources, business processes, and reporting requirements; propose effective solutions. Analyze risks and impacts of BI changes on business operations and recommend improvements. Apply and advocate for team standards in data documentation, visualization, and testing. Communicate effectively across technical and non-technical audiences, recognizing upstream and downstream data impacts. Continuously improve BI processes and mentor team members to enhance data literacy and analytical capabilities. Monitor BI system health and proactively address issues to ensure high availability and reliability. Promote a culture of data-driven decision-making and continuous learning within the team. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Information Systems, Data Analytics, or related field; or equivalent experience. 5 - 8 years managing BI or analytics teams. Strong communication skills, both oral and written. Proven experience using BI solutions to improve business outcomes. Experience managing requirements gathering, prototyping, user acceptance testing, and deployment of BI projects. Basic understanding of data warehousing and web technologies. Preferred: Experience with BI lifecycle and governance frameworks. Proficient in Power BI with expertise in developing dashboards, reports, and data visualizations that drive business decisions. Proficient in Databricks for data engineering, analytics, and scalable data processing. Project management experience: PMP certification is a plus. Experience writing SQL queries and analyzing data patterns. Familiarity with cloud-based BI platforms and data services. Ability to manage multiple priorities and communicate complex data concepts clearly. Demonstrated ability to lead with insight and make strategic recommendations. Self-driven, customer-focused, and able to work independently with moderate supervision. Strong analytical skills and ability to work with abstract concepts. Target Compensation: A competitive base salary range from $129,018 - $189,226. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE : $78 - 84/ hour JOB NUMBER: REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI enabled analytics or development tools (e.g., Claude, AI code assistants, agent based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end to end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Position summary The Senior Solutions Architect in Legal Business Consulting will serve as a senior leader and trusted advisor, bridging the gap between client business needs, legal practice demands, and advanced technology solutions. This role combines the expertise of a solutions architect, sales engineer, and business transformation strategist, with a strong grounding in litigation support and corporate legal projects. The successful candidate will lead initiatives that transform how litigation and corporate legal departments leverage technology for efficiency, compliance, and strategic outcomes. They will not only design and deliver sophisticated solutions but also facilitate client workshops, lead global training programs, capture and integrate client feedback, and support business development through technical sales enablement. With 7-10 years of experience in consulting, legal technology, or adjacent industries-and a proven record in litigation support, corporate legal operations, and technology-enabled process transformation-this individual will drive high-impact outcomes for both clients and the firm. Job duties and responsibilities Client Engagement & Strategic Advisory Act as a senior advisor to litigation and corporate legal teams, aligning business challenges with practical, technology-enabled solutions. Lead client-facing workshops on AI, litigation management, matter lifecycle optimization, e-discovery, CLM, and legal operations strategy. Serve as a facilitator of client feedback loops, ensuring insights from litigation and corporate legal users inform product design and service delivery. Support business development efforts as a sales engineer, demonstrating solution capabilities for litigation support, regulatory risk, and transactional efficiency. Product Enablement, Demonstration & Training Design and deliver advanced, tailored demonstrations of legal technology platforms-including litigation management tools, CLM systems, e-discovery platforms, and AI-enabled applications. Lead global training initiatives for attorneys, litigation support staff, and corporate legal professionals. Partner with product vendors to refine offerings based on litigation and corporate law client requirements. Process Mapping & Business Transformation Collaborate with client legal departments and law firm practice groups to map and optimize litigation workflows, corporate contracting processes, and matter management systems. Apply expertise in process mapping methodologies to design scalable, repeatable solutions for corporate and litigation functions. Develop best practice frameworks for e-discovery readiness, contract lifecycle optimization, and corporate governance compliance. Project Leadership & Delivery Oversee complex, multi-workstream engagements across litigation and corporate legal projects. Provide leadership to cross-functional project teams, including Analysts, Architects, and Managers. Deliver executive-level communications and updates to senior client stakeholders, including GCs, CLOs, and litigation department heads. AI and Technology Drive implementation of AI and GenAI platforms tailored to litigation and corporate legal use cases. Identify opportunities for AI-assisted litigation strategy, workflow automation, and corporate transaction support. Operational Excellence & Team Leadership Contribute to continuous improvement of team methodologies, playbooks, and delivery frameworks. Mentor junior team members and foster a culture of , collaboration, and legal domain excellence. Represent the firm as a thought leader at client events, industry conferences, and forums on legal technology in litigation and corporate practice. Job duties and responsibilities included are not exhaustive and may be supplemented asnecessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education: JD Preferred. Bachelor's degree in Business, Computer Science, Industrial Engineering, Data Analysis, or related field required. Advanced degree or certifications (e.g., PMP, Lean Six Sigma, AI/ML, e-discovery certifications, IACCM for CLM) strongly preferred. Experience: 7-10 years of professional experience in consulting, legal technology, or business transformation roles. Significant experience delivering litigation technology solutions (e-discovery, case/matter management, analytics) and corporate legal technology solutions (CLM, governance, compliance). Demonstrated expertise in sales engineering, client training, process mapping, and leadership. Track record of implementing and scaling AI, CLM, and legal operations technology platforms. Skills: Exceptional written, verbal, and presentation skills; comfortable engaging with executive and attorney audiences. Deep knowledge of litigation workflows, corporate contracting processes, and legal operations best practices. Expertise in workshop facilitation, client engagement, and global training delivery. Strong analytical, project management, and leadership capabilities. Demonstrate adaptability and resilience in a fast-paced and dynamic work environment, maintaining composure under pressure and effectively responding to change, including during high-volume and unusual events. Exercise independent judgment and discretion in complex decision-making, adapting to changing work situations and shifting priorities. Ability to self-manage tasks and deadlines in a remote or hybrid work environment, ensuring productivity and responsiveness without direct oversight. Think intensely and analyze complex situations, requiring sustained mental effort and concentration. Learn and navigate complex, technical legal technology platforms and tools, including those powered by advanced analytics or AI, in support of solution delivery. Ability to synthesize complex project information and produce written documentation, including client-facing status updates and reports. Maintain confidentiality and appropriately handle sensitive legal and client data. Additional information Supervisory responsibilities: May lead cross-functional teams and provide mentorship to junior staff. Equipment used: Personal computer and other office equipment such as telephone, calculator, copier, scanner, etc. Essential job functions Ability to sit or stand for extended periods and perform tasks requiring prolonged and/or extensive computer use. Ability to use computers, telecommunications, and digital collaboration tools to perform core job responsibilities. Ability to communicate effectively. Ability to maintain attention to detail while analyzing complex information, managing multiple priorities, and applying sound judgment to decisions. Ability to access, use, and safeguard confidential and sensitive information while performing job responsibilities in work environments that support confidentiality, privacy, and information security requirements. Travel for meetings and training as required. Ability to work extended hours as required to meet project, client, or business needs. Working conditions Required to work in the office a minimum of 4 days per week; may occasionally require extended hours. May occasionally be required to work hours in excess of the normal schedule in response to urgent or time-sensitive project demands. Pay ranges This represents the presently anticipated pay range for this position. Actual pay may vary based on various factors, including but not limited to location and experience. Pittsburgh, Miami, Dallas, Houston, Atlanta:$154,000 - $173,000 Chicago, Philadelphia:$164,500 - $185,000 Princeton, NJ; Washington, DC:$175,000 - $197,000 Employee benefits overview Our comprehensive benefits package includes: 401(k) Retirement Plan Medical Insurance Health Savings Account (HSA) Virtual Health Services Dental Insurance Vision Insurance Accident Insurance Hospital Indemnity Insurance Critical Illness Insurance Life Insurance Short-Term Disability Coverage Long-Term Disability Coverage Flexible Spending Accounts (FSA) Lyra Health Employee Assistance Program (EAP) Paid Family Leave (for eligible Exempt and Non-Exempt staff) Transportation Benefit Back-up Child Care Services College Coach Program Pet Insurance Paid Sick Time (for Exempt staff) Paid Time Off (available to all full-time, non-temporary employees) Reed Smith offers a challenging work environment, business casual dress code and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401(k) plan. Reed Smith is an Equal Opportunity Employer with Core Values of Integrity, Excellence, Teamwork & Respect, Innovation, and Impact. Reed Smith also provides reasonable accommodations in accordance with law, including in the application and interview process. Qualified candidates only. No search firms.

Why join this team Design and deliver scalable OLTP, Business Intelligence, and Data Warehouse solutions using Microsoft Fabric, SSIS, SQL Server, and related BI technologies. Develop and maintain enterprise reports, support requirements gathering, evaluate and recommend technical approaches, and implement solutions within established timelines. This position is hybrid. NYC Salary range: $115,000 - $160,000 annually; compensation is commensurate to geographic location. What you'll do Regardless of seniority or role, uphold UNFCU's mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors. Develop and maintain ETL/ELT processes using SSIS, Fabric Pipelines, and/or Azure Data Factory, including advanced Script Tasks (C# or VB.NET) to automate file operations and apply custom business logic. Develop and implement solutions in Microsoft PowerBI and Microsoft Fabric, including Lakehouse/Warehouse modeling, Dataflows Gen2, Pipelines, and Semantic Models; support the modernization of existing ETL and reporting assets into Fabric and Azure cloud-based frameworks. Design, develop, and optimize complex T-SQL stored procedures, functions, and database objects for high-volume OLTP and Data Warehouse environments, with expertise in transaction isolation levels, table hints, deadlocks, linked servers, OPENQUERY, triggers, and column-level encryption. Perform advanced database performance tuning, including execution plan analysis, indexing strategies, partitioning, and transaction optimization. Contribute to the design and enhancement of OLTP and OLAP data models, ensuring alignment with business, analytical, and performance requirements. Build and support integrations that consume or expose REST APIs, including testing, validation, and troubleshooting using Postman and related API tools. Create and govern dashboards and visual analytics in Power BI or Tableau, ensuring accuracy, compliance with governance standards, and proper alignment with semantic models. Verify and maintain data quality and integrity across the data warehouse, semantic models, dashboards, reports, and data extracts. Troubleshoot and resolve database, ETL, reporting, data quality, performance, capacity, replication, and distributed data issues; participate in incident resolution and root-cause remediation. Maintain thorough documentation, adhere to change control processes, and support regulatory, cybersecurity, and data protection compliance. Collaborate with Product Managers, Analysts, Engineers, and cross-functional teams to enhance BI and data platform capabilities. Stay current with industry trends and participate in relevant training, conferences, and professional development programs. Participate in Credit Union training and development programs. Perform additional responsibilities as assigned. Ensure compliance with federal and state laws and regulations and UNFCU's Code of Ethics & Business Conduct. What we're seeking Bachelor's degree in Engineering or Computer Science 6 years of experience in reports and data warehouse development 5 years software development experience on Microsoft BI Platform including MS SQL Server 4 years of experience in DB Development (OLTP) using MS SQL 2 years of experience in building Data Marts using dimensional models 2 years of experience in building Dashboards and KPI visualization on Power BI and/or Tableau Strong reporting and data warehouse development skills on issues that are complex and evaluative in nature where troubleshooting may call for referencing an advanced knowledge base Large data migration experience Hands on experience using Oracle What makes you stand out Maintaining code/scripts in TFS for multiple environments Cloud technology like Microsoft Azure, MS Power BI and Microsoft Fabric. DBA activities like database backup and restore. Data extraction using API Handling data in XML Who we are UNFCU is a global not-for-profit financial institution that serves the UN community. We are committed to providing peace of mind to our members and colleagues and strive to achieve service excellence in all that we do. The best part of UNFCU is the people. Those that choose to work with us often find personal fulfillment, professional growth and a purposeful culture. UNFCU is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. UNFCU prohibits discrimination and harassment of any type. All applicants will be considered for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by country, federal, state or local laws.

Position Title: Manager - Advanced Analytics Description: Summary Statement: Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects. Key Responsibilities: • Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes. • Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations. • Manage a team of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering). • Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area. Responsibilities: • Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps. • Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments. • Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI). • Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity. • Ensure applications and environments are available and supported as per agreed SLAs. • Enforce best practices and compliance with AI Governance principles. • Follow IT practices in security, licensing, source code management, incident management, and architectural standards. • Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members. • Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs. • Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions. • Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management. • Identify skill gaps within teams and develop plans to bridge them. • Foster collaboration among associates and within work groups. • Use dashboards and metrics to prioritize work and ensure project milestones are met. Qualifications: • Bachelor's degree in Computer Science, Information Systems, or equivalent experience. • 3+ years of leadership experience leading machine learning engineers. • 3 - 5 years of large enterprise-wide program/project management experience. • 2+ years' experience with cloud platforms, preferably AWS. • Strong experience with Agile/MLOps approaches or methodologies. • Strong Technical Project Management experience. • Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models. • Working knowledge of one or more Machine Learning Platforms. • Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions. • Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders. • Experience working with business leadership to establish a project/program application development roadmap. • Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions. • Demonstrated ability to break technical solutions into logical units and show information or data flow. • Full fluency and expert-level knowledge in systems/languages applicable to the role. • Full understanding of system development lifecycle, methodologies, and standards. • Working knowledge of Generative AI and Agentic solutions preferred. • Green Belt, Black Belt, Lean, or PMP certification preferred. Physical Requirements • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Function: Business Intelligence Job Family: Analytics & Intelligence Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: Requirements PI

DRC is one of the largest educational assessment and curriculum/instruction companies in the industry. Data Recognition Corporation-Minnesota Company cannot provide sponsorship for this position This is a full time employee position, not contract or consult Please, no agencies Senior Project Manager (hybrid-Minnesota) Today, DRC's business units serve the K-12 and adult education sector, Federal and state governments, licensure boards and associations, and commercial clients worldwide! DRC has more than thirty years of proven experience in reporting and analytics, supporting Educational Technology (Ed Tech), Federal Research, and Commercial Services. We're committed to being an innovative and disruptive force in the reporting and analytics space as a company. We desire to provide modern, cloud-based advanced analytics solutions that create value and drive progress. We are looking for an experienced and dedicated senior project manager who has a technical background, proven leadership skills, the ability to think critically and solve problems, and a track-record of ensuring project milestones and deadlines are met. Essential Responsibilities: Manage expectations and scope of work with both the development team and stakeholders Scope and prioritize activities based on business and customer impact and work with implementation teams to deliver with quick time-to-market and optimal resources. Facilitate Release Planning readiness by preparing development backlogs that drive the Release. Establish and communicate release cadences. Facilitate project team discussions; asks appropriate questions; identifies gaps in the project plan; identifies assumptions; manages risk; negotiates disagreements; finds creative solutions. Understand dependencies of other projects within Information Technology Manage quality into the software development lifecycle through adopted methodology Qualifications: 4+ years Project Management background Demonstrated understanding of project management methodologies and tools Strong facilitation, communication, and negotiation skills Demonstrated collaborative leadership skills; ability to successfully direct the work of others Exposure to teams that do software development and/or data development Familiarity with change management/release management Experience using JIRA or similar project management tools Managing the JIRA board and assist with sprint planning Familiarity with Google Suite Understanding of the workflow of a technical organization Preferred Qualifications: Bachelor's degree in MIS, Computer Science, Business Administration or related field OR equivalent experience Local candidate to Minnesota preferred for hybrid work schedule PMP is helpful Essential Requirements: Familiarity with Microsoft Office, Atlassian, Google suite, Lucid Charts, and applicable data analytics tools Relate effectively and work respectfully with diverse workgroups Ability to consistently perform well during times of increased workload Set and meet deadlines and manage multiple job functions simultaneously DRC retains the right to change or assign other duties to this position All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran DRC offers a comprehensive benefits program that allows employees to make choices that best meet their current and future needs. We offer many benefits, including medical, wellness, dental, and vision insurance, a 401(k), flexible spending and health savings accounts, short and long-term disability insurance, and life insurance. DRC also offers a generous paid time off policy and community service leave. Data Recognition Corporation is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. The salary range is a guideline. Compensation will be based on skills, knowledge, and experience.