• Define and execute the vision for AI-driven web scraping, aligning with Circana’s broader data strategy. • Develop processes to identify, extract, and integrate data from external sources using advanced AI techniques. • Implement AI and machine learning models to enhance web crawling, data parsing, and classification of scraped content. • Ensure all scraping activities adhere to legal and ethical standards, using non-intrusive methods. • Recruit and lead a specialized team focused on web scraping and AI innovation. • Partner with product, engineering, and analytics teams to deliver data assets for new services.

• Define and execute the vision of building and leveraging state-of-the-art OCR capabilities to solve complex business problems in Retail/Consumer space. • Partner with various product groups to identify application and opportunities. • Partner with other Product and Engineering teams to develop and integrate these capabilities. • Drive innovation to drive new capabilities and continue to improve KPIs of existing capabilities (speed, cost, accuracy, coverage). • Lead the development of capabilities that can execute at large scale (millions of documents everyday with response in seconds), high accuracy and precision. • Ensure all extraction activities adhere to legal and ethical standards. • Recruit and lead a specialized team focused in this area

Remote Work: Yes Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally. Come make an impact every day at Zebra. In collaboration with key business and technology stakeholders, this pivotal role is responsible for conceiving and executing Artificial Intelligence and advanced technology vision across Zebra's Asset Visibility Solutions (AVS) Business Unit. The leader will drive Data and AI innovation in print technologies, RFID encoding, intelligent supplies, advanced sensors, and next-generation data capture solutions. This position requires a visionary leader who can build and guide a world-class team to embed Data and AI and advanced solutions directly into our products, creating new value for our customers and solidifying our market leadership. This leadership role will lead and architect the future AVS offerings and fundamentally reshape our business, evolving from a provider of best-in-class devices to the creator of a seamlessly integrated ecosystem where every asset is a smart intelligent edge device offering insights and workflow improvements to the customers across various verticals including retail, manufacturing, T&L, warehousing, and healthcare. The ideal candidate is a blend of technologist, strategist, and change agent who has proven history of leading similar large-scale transformations, converting a hardware-centric business into solutions provider with emphasis on AI and Data. Responsibilities: - Define, implement, and own the strategic vision for AI and advanced development as it applies to printing, RFID, supplies, sensors, and data capture products, ensuring alignment with corporate strategy and product roadmaps. - Lead the strategy at the intersection of business and technology, identifying market opportunities where AI can create intelligent, connected, and automated solutions for our customers. - Direct a multi-disciplinary team of AI researchers and engineers in the research, design, and deployment of market-differentiating features and capabilities. - Champion a culture of innovation and implementation, guiding projects from initial concept and proof-of-concept stages through to successful integration into commercial products. - Partner with executive leadership, business unit GMs, product management, and sales to build compelling business cases and ensure market adoption of new AI-driven solutions. - Foster a high-performance, collaborative environment that attracts, retains, and develops top-tier talent in the AI and advanced engineering fields. - Drive intellectual property creation through patent disclosures and represent the company in relevant industry publications and standards bodies. - Act as the company's lead external evangelist for AI in our core markets, presenting at trade shows, industry conferences, and analyst briefings to establish and grow Zebra's reputation for innovation. - Develop and Execute AI Strategy: This leader is responsible for creating and implementing a comprehensive AI strategy that aligns with the company's overall business objectives. They must identify opportunities for AI-driven improvements in both products and internal processes. - Lead Cross-Functional Teams: The role requires leading and collaborating with diverse teams, including hardware and software engineering, product management, marketing, and sales, to integrate AI technologies into existing and new products. - Drive Innovation and Product Development: A key duty is to drive innovation by staying updated on the latest industry trends and translating business objectives into tangible engineering solutions. Qualifications: - Minimum Education: - Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related technical field. Extensive and equivalent industry experience will be strongly considered in lieu of a Master's or Ph.D. - Minimum Work Experience (years): - 15+ years of experience in a technology-focused field, with a proven track record of leading advanced R&D, innovation, or product development teams. Benefits - 25 days of vacation - Up to 32 hours paid time off per year to volunteer with a charity of your choice - Reward & Recognition scheme - earn points to spend online - Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments - Annual bonuses based on financial results - Yearly salary increases according to individual performance - Employee referral bonus for bringing New Talent to Zebra - Pension Scheme with a matched contribution up to 7% - Private medical and dental cover - Access to an innovative online learning platform - Cycle to work scheme - Employee Assistance Program To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

• Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. • Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. • Classification: Assigning predefined categories or labels to items. • Content Quality: Evaluating the perceived quality and/or appropriateness of content • Content Understanding: Generating labels to advance understanding of a concept, trend etc. • Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. • Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. • Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. • Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. • Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. • Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). • Response Generation: Generating responses to prompts or questions using a language model or other AI system. • Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. • Response Summarization: Producing concise summaries of longer pieces of text or data. • Similarity Evaluation: Projects where content is compared in order to drive a determination. • Transcription: Converting spoken language or audio content into written text. • Translation: Converting text or spoken language from one language to another. • Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.