Kohl's

Technical Designer Hybrid New York Design Office (0908) Full time As Technical Designer, you will execute technical product specifications for multiple complex programs within Kohl’s Proprietary Brands. What You’ll Do - Develop accurate technical specifications aligning with Kohl’s brand ID, minimum construction standards, tolerances and grading requirements - Collaborate with Product Integrity to ensure products meet performance testing protocols and requirements - Conduct benchmarking and remain current on market trends and competition, providing recommendations based on insights - Apply industry knowledge to resolve fit and production issues, fostering supplier and peer relationships - Demonstrate proficiency in grading and consistency management, aligning with Technical Design Leadership and suppliers to implement changes - Prepare for the Seasonal Sample Fit Benchmark by reviewing samples and presenting hypotheses for product improvements - Guide new hires on Kohl’s processes and procedures - Communicate technical specifications and collaborate with Vendors via PLM during product development - Communicate sample corrections clearly to Vendors through written summaries, sketches and photos - Support vendor onboarding and Certified Technical Designer training - Additional tasks may be assigned What Skills You Have Required - 5+ years of experience in Technical Design, Fashion Design, Pattern Making, Manufacturing or related industries - Experience with Browzwear and other 3D design technologies to create accurate virtual samples, conduct fit analysis, and reduce physical sampling throughout the product development process. - Exceptional attention to detail with strong organizational skills - Effective verbal and written communication abilities - Bachelor’s Degree in Fashion Design, Apparel Manufacturing or a related field of expertise Preferred - Experience using PLM and Adobe Illustrator or similar specification packages and sketching programs - Knowledge of textiles, construction and pattern-making/grading This role is based at our New York Design Office. You’ll work onsite from Monday through Thursday, with the option to work remotely on Fridays. Essential Functions The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship. - 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 Pay Range: $90,600.00 - $153,100.00 Kohl’s offers a variety of benefits to associates depending on full-time/part-time status and work hours, including: WORK LIFE BALANCE (PTO, Vacation Buy Program, Parental Leave), HEALTH & WELLNESS (Medical, Dental, Vision and other short and long term disability programs, Emergency health and wellness programs such as Accident Protection Plans, Critical Illness Plans and more), SAVINGS & RETIREMENT BENEFITS (401k, Flexible Spending Accounts and associate discount programs with Kohl’s partners), INSURANCE PROGRAMS (Life Insurance for you, your family or your pet, as well as other protection programs), and LIFE EVENTS (Legal and adoption assistance benefits).

Role Description In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization. What You’ll Do - Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting - Leverage SQL to retrieve, transform and prepare data for robust analyses - Present findings to executive-level digital, marketing and merchandising leadership - Develop best practices for BI and Self Service - Directly query data in the Google Cloud Platform across different environments to prepare data for analytics - Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid - Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics - Additional tasks may be assigned Qualifications - 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization - Advanced proficiency in SQL - Expertise in Qlik, Tableau, PowerBI or Looker Studio - Experience in Adobe Clickstream, Adobe Analytics - Experience working directly with business stakeholders to translate between data and business needs - Highly effective at communicating analysis and data visualizations with a non-technical audience - Proven ability to independently determine approaches to efficiently completing projects and managing processes - Knowledge of statistical analysis methods - Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Requirements - Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar (Preferred) - Experience with an object-oriented programming language (R, Python etc.) (Preferred) - Ability to write functions and end-to-end programs (Preferred) - Experience with Data Mining and Machine Learning methodologies (Preferred) - Experience with Google BigQuery (Preferred)

Role Description As Reliability Engineer, you will ensure the resilience and availability of Kohl’s systems and applications and collaborate closely with development teams to review designs, conduct risk assessments and implement robust monitoring and failover mechanisms. - Drive incident response efforts, perform root cause analysis and implement preventative measures to enhance system reliability. - Establish consistent practices that elevate Kohl’s operational excellence through automation and process improvements. - Follow software lifecycle and drive reliability, observability and efficiency across product teams within an assigned domain. - Identify repeated toil and find opportunities for automation and risk reduction. - On-call on a rotation to respond to production incidents and conduct blameless retros and root-cause analyses (RCAs) to drive a culture of continuous improvements. - Proactively identify failures before they cause outages using chaos engineering techniques such as edge cases, failure modes and design review. - Advise on capacity planning and provide continuous assessments on systems behavior and consumption. - Work with product managers to identify and prioritize work for reliability best practices (i.e., leveraging SLIs/SLOs/Error Budgets). - Additional tasks may be assigned. Qualifications - Bachelor's Degree or equivalent in MIS, Computer Science or related field. - 2+ years of experience in software development. - Strong programming skills in one or more languages (Java, Python, Go or Node.js). - Working knowledge of systems architecture, operating system internals and network fundamentals. - Experience working with one cloud platform (e.g., GCP, AWS, or Azure). Requirements - Experience with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing). - Working knowledge around containerization and container orchestration (e.g., Docker, Kubernetes, Rancher).

• Ensure the resilience and availability of Kohl’s systems and applications • Collaborate closely with development teams • Contribute to architectural designs • Conduct risk assessments and design for failure • Implement robust monitoring and failover mechanisms • Drive error budget and Service Level Objective (SLO) adoption across products • Drive incident response efforts, perform root cause analysis and implement preventative measures to enhance system reliability • Establish consistent practices that elevate Kohl’s operational excellence through automation and process improvements • Follow software lifecycle and drive reliability, observability, and efficiency across product teams within an assigned domain • Identify repeated toil and find opportunities for automation and risk reduction • On-call on a rotation to respond to production incidents and conduct blameless retros and root-cause analyses (RCAs) to drive a culture of continuous improvements • Proactively identify failures before they cause outages using chaos engineering techniques such as edge cases, failure modes and design review • Advise on capacity planning and provide continuous assessments on systems behavior and consumption • Work with product managers to identify and prioritize work for reliability best practices (i.e., leveraging SLIs/SLOs/Error Budgets) • Mentor and assist engineers on the team

• Lead and mentor a team of reliability engineers to drive operational excellence across Kohl’s distributed systems • Develop and implement strategies, collaborate closely with engineering teams and ensure SRE best practices are embedded throughout the software development lifecycle • Conduct design reviews, implement robust monitoring and alerting and establish auto-healing practices • Provide leadership and guidance during critical incidents to triage, troubleshoot and resolve complex issues • Drive comprehensive root cause analysis and follow-through on preventative measures • Manage the software lifecycle, driving reliability, observability and efficiency in collaboration with peers across Design, Product Management, and Engineering • Lead major automation and toil reduction initiatives, simplifying the ecosystem and reducing risks • Set the vision and drive cultural transformation within the team • Coach team through empathy and hands-on mentoring • Develop and deliver training programs to upskill the team and broaden SRE adoption across the organization

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 - Accelerate value delivery and shape team outcomes by bringing insights from a broad set of experiences. - Collaborate with your group leader to deliver on portfolio-level strategies that enhance user outcomes and drive business value. - Drive the strategy creation for your product's problem space with ownership of multiple products/systems, and engage stakeholders to identify opportunities. - Conduct continuous research to identify valuable problems, define outcomes in new or complex spaces, facilitate ideation sessions to prioritize solutions, coordinate delivery across teams, and support change management. - Deliver user value in ambiguous areas with overlapping problems, applying principled techniques to define users, problems, and solutions. - Create backlog stories and product documentation, prioritize work, and coordinate feature releases to promote rapid ideation to delivery cycles. - Measure impacts, solicit feedback, and make data-informed decisions to pivot or persevere, improving your product. - Identify functionality that no longer provides value, and safely deprecate or modernize it in line with the product vision. - Provide thought leadership and mentorship for other Product Managers while pursuing self-education to evolve Product practices. - Additional tasks may be assigned. Qualifications - Mastery of the software development lifecycle and experience delivering a variety of software products to market. - Ability to analyze data, interpret metrics, and use data to drive decision-making across a suite of products and services. - Strong problem-solving skills to identify systems level issues, analyze potential solutions, and partner across domains to implement the best course of action. - Ability to convey complex or ambiguous ideas, strategies, and outcomes clearly and concisely to executive level stakeholders. - Ability to enter an ambiguous domain space, rapidly learn new skills and concepts, and reorient priorities in a dynamic work environment. Requirements - 7+ 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 up to 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.

Role Description As Technical Project Manager, you will be responsible for project planning and end-to-end management for established initiatives within the company. You will ensure that projects are completed to specification within an established time frame and budget and proactively identify and manage risks. What You’ll Do - Utilize industry expertise and technical understanding to improve all aspects of project planning and resource management - Manage the activities of cross-functional teams to deliver successful project outcomes and contribute to TPM best practices - Oversee, develop, execute and monitor project plans - Oversee the daily activities of a project generally comprised of both internal and external resources - Understand the technical aspects of a project and ensure the project's technical requirements are correctly translated into deliverables - Develop measurable success criteria and use that to measure the success throughout the project life cycle and take proactive steps to improve performance - Identify and communicate project milestones, tasks and risks to partners - Manage the project(s) capital and expense budget(s) - Drive project issue resolution for the project(s) based on collaboration of peers and leveraging best practices - Conduct post-project retrospectives and devise improvement plans - Ensure the project team is properly staffed with required resources and anticipate resourcing needs and issues - Additional tasks may be assigned Qualifications - 3+ years of technology experience - Bachelor's Degree or equivalent - Bachelor's Degree or equivalent in MIS, Computer Science or related field (preferred) - PMP Certification (preferred) - Agile-ACP Certification (preferred) - Scrum Certification (preferred) - Experience in multiple SDLC methodologies (preferred) Requirements - 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

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.

• 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

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