Kohl's

Role Description As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data reliability, performance and governance maturity while standardizing patterns that scale across teams. You will partner cross-functionally to enable analytics, ML and GenAI use cases with trusted data. - Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI) feature pipelines to extract data from diverse source systems and producers (APIs, events, databases, files) ensuring efficient ingestion, transformation and publishing. - Design, refine and implement scalable data models, semantic layers and data contracts to promote consistency, reuse and accessibility. - Own the end-to-end data product lifecycle for the domain. Define and maintain data contracts, including service level agreements (SLAs), schema expectations, quality metrics and consumer ownership, to ensure a reliable and trustworthy experience. - Partner with cross functional teams to co-design scalable data solutions that meet business needs and clearly define the boundaries between data pipeline responsibilities and model-building activities. - Develop automated workflows and Continuous Integration / Continuous Deployment (CI/CD) pipelines using tools such as Airflow, Apache Spark and Python to drive reliability and faster delivery. - Implement validation, observability and evaluation frameworks that ensure accuracy, lineage and timeliness across data pipelines and large language model (LLM) outputs. - Apply and enforce governance, privacy and compliance standards (GDPR, PCI DSS, CCPA), ensuring data security and traceability. - Partner with cross functional teams to translate business needs into technical data solutions that scale across domains. - Drive performance tuning, automation and adoption of AI-powered data tools to enhance data platform efficiency. - Mentor data engineers and champion best practices for maintainable, governed and reusable data assets. - Own cost and performance tradeoffs for domain data products and monitor compute usage, storage growth and unit cost to implement optimizations that reduce spend while meeting SLAs. - Additional tasks may be assigned. Qualifications - 4+ years designing, building and optimizing data pipelines and models in production, ideally within large-scale cloud environments. - Proficiency in SQL and Python (or Scala) for data development, testing and automation. Requirements - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or a related field (preferred). - Experience with Apache Spark (or equivalent) for large-scale data processing and performance optimization (preferred). - Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD pipelines (preferred). - Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage (preferred). - Experience designing and optimizing streaming pipelines using Kafka, Pub/Sub, spark (preferred). - Strong understanding of dimensional modeling, normalization and schema design for analytics and GenAI integration into data products (preferred). - Experience with data testing, lineage, monitoring and observability frameworks to ensure data integrity and reliability (preferred). Benefits - Ability to perform the accountabilities listed in the “What You’ll Do” Section. - Ability to maintain prompt and regular attendance as set by the company. - Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week. - Ability to comply with dress code requirements. - Ability to learn and comply with all company policies, procedures, standards and guidelines. - Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel. - Ability to work as part of a team and interact effectively and appropriately with others. - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes. - Ability to satisfactorily complete company training programs. - Perform work in accordance with the Physical/Cognitive Requirements section. Physical/Cognitive Requirements - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units. - Ability to complete or oversee the completion of assigned projects in a timely manner. - Ability to comply with health and safety standards.

Role Description The VP, Data Architecture and Engineering is accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities that enable business growth, operational efficiency, and customer centric innovation. This leader partners closely with business and technology teams to elevate data into a durable and scalable enterprise asset. In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and prioritizes business use cases, this role owns the data architecture, platforms, and engineering foundations required to operationalize, scale, and reliably run A.I solutions in production across the enterprise. What You’ll Do - Define and own the data product and technical data science strategy, aligning with enterprise technology and business priorities - Lead the design, development, and lifecycle management of data products that support business operations, customer insights, and innovation - Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement - Partner with business units, analytics, engineering, and product management to prioritize high-value use cases for both data products and data science applications - Oversee data governance, stewardship, and metadata management to ensure accuracy, compliance, and trust - Champion modern data and AI architectures, including cloud-native platforms, APIs, data streaming services, and real-time analytics - Drive data democratization, ensuring business users can easily discover, access, and leverage insights - Foster a product mindset and a research-to-production pipeline for data science solutions, ensuring scalability and usability - Manage, mentor, and grow a high-performing team of data product managers, architects, engineers, and data scientists - Define and monitor KPIs for both data products and data science initiatives, ensuring outcomes translate into tangible business impact - Represent data strategy at the executive level, influencing enterprise decisions and advocating for innovation - Additional tasks may be assigned Qualifications - 12+ years of experience in data leadership roles, including data product management, data platforms, and data science - Proven track record of building and scaling data products and machine learning/AI solutions in large, complex organizations - Strong expertise in modern data and AI/ML architectures, including cloud platforms (AWS, GCP, or Azure), data lakes/warehouses, and governance frameworks - Exceptional executive communication and stakeholder management skills, with the ability to influence across business and technology functions - Demonstrated success in leading cross-functional teams spanning data science, engineering, and product management Requirements - Ability to perform the accountabilities listed in the “What You’ll Do” Section - Ability to maintain prompt and regular attendance as set by the company - Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week - Ability to comply with dress code requirements - Ability to learn and comply with all company policies, procedures, standards and guidelines - Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel - Ability to work as part of a team and interact effectively and appropriately with others - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes - Ability to satisfactorily complete company training programs - Perform work in accordance with the Physical/Cognitive Requirements section Physical/Cognitive Requirements - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units - Ability to complete or oversee the completion of assigned projects in a timely manner - Ability to comply with health and safety standards

Role Description In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning. What You’ll Do - Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations - Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods - Collaborate with stakeholders to understand business requirements and translate them into technical solutions - Develop and implement statistical and machine learning models to solve business problems within a cross-functional team - Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms - Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics - Identify and drive continuous improvement of key business metrics within the balanced team - Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities - Additional tasks may be assigned Accountabilities - Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates - Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management - Contribute to the tuning of models by adjusting objective functions, constraints, etc. Qualifications - BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field - 2+ years of progressively complex data science or analytics experience Requirements Required - Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value - Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc. - Strong problem-solving skills with an emphasis on product development - Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results - Effective communication and collaboration skills - Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field Preferred - Master’s degree - Retail experience - Supply chain management - Marketing models - Logistics experience Essential Functions - Ability to perform the accountabilities listed in the “What You’ll Do” Section - Ability to comply with dress code requirements - Basic math and reading skills, legible handwriting, and basic computer operation - Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company - Ability to learn and comply with all company policies, procedures, standards and guidelines - Ability to receive, understand and proactively respond to direction from leadership and other company personnel - Ability to work as part of a team and interact effectively and appropriately with others - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes - Ability to satisfactorily complete company training programs - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units - Ability to complete or oversee the completion of assigned projects in a timely manner

Analyze campaign performance and produce insightful reports while collaborating with cross-functional teams. Maintain dashboards to visualize media effectiveness and ensure data integrity for strategic recommendations and advanced analytics...

Role Description You are the product component of a cross-disciplinary product team, and will collaborate with Engineering, Design, Analytics, and Site Reliability Engineering (SRE) to collectively evolve your product through the entire product development lifecycle. You bring business, strategy, and communication expertise to the collaboration between your product team, customers, and stakeholders to steer the prioritization of product investments. Using the principles of lean, agile, and user centered design, you lead and execute the regular activities of a product team to deliver outcomes for users and drive value for the enterprise. What You’ll Do - Manage the full software development lifecycle and refine your team’s process to deliver strategic outcomes. - Collaborate with your group product leader to deliver on product-level strategies that enhance user outcomes and drive business value. - Discover, develop, and build strategies for your product's problem space while engaging stakeholders to identify opportunities. - Potential responsibility for multiple products/systems under one problem area. - Conduct continuous research to identify valuable problems, define and deliver outcomes in a complex product space, facilitate ideation sessions to prioritize solutions, and coordinate delivery with other teams. - Deliver user value in an area with known problems, applying principled techniques to define users, problems, and solutions. - Create backlog stories and product documentation, prioritize tasks, and coordinate feature releases to promote rapid ideation to delivery cycles. - Measure impacts, solicit feedback, and make data-informed pivot or persevere decisions to improve your product. - Identify functionality that no longer provides value, and safely deprecate or modernize it in line with the product vision. - Engage with your product group to refine and harmonize practices with other product teams, contributing to group-level practice development. - Additional tasks may be assigned. Qualifications - Experience working in the software development lifecycle and delivering a product to market. - Ability to analyze data, interpret metrics, and use data to drive decision-making within a suite of products and services. - Strong problem-solving skills to identify user level issues, analyze potential solutions, and partner across domains to implement the best course of action. - Ability to communicate clearly with different stakeholders, including engineers, designers, and executives. Requirements - 5+ years of experience in product management working on cross-disciplinary product teams. - Advanced training or equivalent practical experience in Product Management, Business, MIS, Computer Science, or related fields. - Ability to travel 10% of the time.

Role Description You are the product component of a cross-disciplinary product team, and will collaborate with Engineering, Design, Analytics, and Site Reliability Engineering (SRE) to collectively evolve your product through the entire product development lifecycle. You bring business, strategy, and communication expertise to the collaboration between your product team, customers, and stakeholders to steer the prioritization of product investments. Using the principles of lean, agile, and user centered design, you lead and execute the regular activities of a product team to deliver outcomes for users and drive value for the enterprise. What You’ll Do - Manage the full software development lifecycle and refine your team’s process to deliver strategic outcomes. - Collaborate with your group product leader to deliver on product-level strategies that enhance user outcomes and drive business value. - Discover, develop, and build strategies for your product's problem space while engaging stakeholders to identify opportunities. - Potential responsibility for multiple products/systems under one problem area. - Conduct continuous research to identify valuable problems, define and deliver outcomes in a complex product space, facilitate ideation sessions to prioritize solutions, and coordinate delivery with other teams. - Deliver user value in an area with known problems, applying principled techniques to define users, problems, and solutions. - Create backlog stories and product documentation, prioritize tasks, and coordinate feature releases to promote rapid ideation to delivery cycles. - Measure impacts, solicit feedback, and make data-informed pivot or persevere decisions to improve your product. - Identify functionality that no longer provides value, and safely deprecate or modernize it in line with the product vision. - Engage with your product group to refine and harmonize practices with other product teams, contributing to group-level practice development. - Additional tasks may be assigned. Qualifications - Experience working in the software development lifecycle and delivering a product to market. - Ability to analyze data, interpret metrics, and use data to drive decision-making within a suite of products and services. - Strong problem-solving skills to identify user level issues, analyze potential solutions, and partner across domains to implement the best course of action. - Ability to communicate clearly with different stakeholders, including engineers, designers, and executives. Requirements - 5+ years of experience in product management working on cross-disciplinary product teams. - Advanced training or equivalent practical experience in Product Management, Business, MIS, Computer Science, or related fields. - Ability to travel 10% of the time. Essential Functions - Ability to perform the accountabilities listed in the “What You’ll Do” Section. - Ability to comply with dress code requirements. - Basic math and reading skills, legible handwriting, and basic computer operation. - Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company. - Ability to learn and comply with all company policies, procedures, standards and guidelines. - Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel. - Ability to work as part of a team and interact effectively and appropriately with others. - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes. - Ability to satisfactorily complete company training programs. - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units. - Ability to complete or oversee the completion of assigned projects in a timely manner.

Title: Sales Account Manager - Kohl's Media Network Location: Menomonee Falls, WI, or New York City, NY, US, Remote Job Description: This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays. About the Role In this role, you will serve as the primary point of contact for a portfolio of vendors, their agency partners and the merchants, helping them plan, execute, and optimize media campaigns across our retail media platforms. You’ll work closely with cross-functional teams, including sales, ad operations, analytics, and product, to ensure client success and revenue growth. What You’ll Do - Own day-to-day client relationships, acting as a trusted advisor for the category of accounts in partnership with the sales lead/sales manager - Work closely with internal teams (sales, analytics, product, ad ops) to deliver seamless execution and drive client satisfaction - Manage end-to-end campaign lifecycle, from planning, campaign set-up, execution, post-campaign reporting and client touchpoints in between - The Account Manager will be responsible for achieving upselling and cross-selling targets and working with the sales team to foster and grow existing vendor partnerships - Monitor campaign performance, proactively identify opportunities for improvement and provide actionable insights to maximize ROI - Collaborate with clients on campaign strategy aligned to their goals, using first-party retail data and audience segmentation - Deliver regular campaign performance reviews and business updates to clients, highlighting successes, learnings and growth opportunities - Identify upsell/cross-sell opportunities and support renewal discussions in collaboration with the category sales lead - Utilize internal tools and ad tech platforms (DSPs, SSPs, etc.) to manage campaigns and measure results - Provide client and market feedback to help inform product development and innovation within the retail media network - Maintain an expertise in media ad products available across Kohl’s Media Network - Identify any business churn risks as early as possible and devise action plans to minimize risk - Additional tasks may be assigned What Skills You Have Required - 2–5 years of experience in account management, client success management, digital advertising, or performance marketing, ideally within a retail media, eCommerce or online media environment - Strong ability to interpret data and create supportive narratives - Proven ability to build strong internal relationships with sales, merchant teams, and operations functions - Bachelor’s degree in Marketing, Advertising, Business or related field

• Design, build and maintain the infrastructure and services that power Kohl’s applications • Develop, test, deploy and iteratively improve platform capabilities, features and APIs • Leverage critical thinking, experimentation, data, end-user feedback and industry best practices to achieve desired business outcomes • Contribute to the development and integration of high-quality, secure platform services • Support all technical aspects of the platform services lifecycle, including code, infrastructure, data, security, CICD, documentation • Optimize CI/CD pipelines, enhancing monitoring and logging frameworks and contributing to platform's overall architecture • Create scalable, reliable, secure platforms supporting Kohl’s growing business needs • Streamline development processes, improve system performance and ensure high availability of services • Work with SRE team to ensure platforms meet their SLA’s and SLO’s

• Lead exploratory data analysis to cull actionable insights • Collaborate with stakeholders to understand business requirements and translate them into technical solutions • Develop and implement statistical and machine learning models • Fine-tune, optimize and ensure the scalability of models and algorithms • Aid in designing experiments to answer targeted questions • Identify and drive continuous improvement of key business metrics in an assigned business functional area • Drive adoption and usage of data science products and models • Translate data science outputs into business outcomes and value delivered • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

• Lead the transition to a software-defined networking (SDN) strategy • Design, develop and maintain Kohl’s network infrastructure • Participate in code and design reviews • Lead the implementation of SDN strategies, focusing on automation and utilizing tools such as Ansible and GitLab • Collaborate with cross-functional teams to identify and prioritize network requirements • Troubleshoot and resolve network issues • Remain up-to-date with emerging technologies and industry trends