Jobs at Kohl's

Coordinate product development and production for private-label fashion brands. Responsibilities include vendor correspondence, purchase order and import logistics management, WIP tracking, sample coordination, style-system updates, production reviews, cross-functional communication, and maintaining sample-room organization. The role supports agility strategies, style handoffs, sustainability initiatives, and customer review analysis. It is onsite in New York Monday through Thursday, with remote Fridays.

Lead development of innovative, high-quality applications while collaborating with cross-functional teams and establishing engineering standards. Requires strong knowledge in Java and related technologies.

Execute global sourcing strategies for private and exclusive brands, balancing quality, cost, speed, and delivery. Responsibilities include vendor selection and scorecarding, seasonal negotiations, projection reconciliation, supplier capability assessment, brand and category planning, production liaison activities, documentation, training resources, and continuous process improvement. The role partners extensively with cross-functional teams and requires some travel in an international sourcing environment.

Provides analytical and operational support for sourcing strategies across knit and woven brands. Responsibilities include data analysis, costing support, vendor negotiations, sourcing reports, data visualization, documentation, factory research, strategic sourcing projects, and cross-functional collaboration with production, materials, design, merchandising, planning, and global vendor partners.

Leads the organization’s analytics strategy, advanced analytics solution development, predictive modeling, machine learning, data governance, and performance measurement. Partners with business leaders to drive data-informed decisions, growth, efficiency, and innovation. Oversees regulatory data practices, recruits and develops analytics talent, establishes KPIs, and fosters a culture of continuous improvement and data-driven decision-making.

Leads human resources business partnering for a retail territory, advising leadership on people strategy, organizational effectiveness, workforce planning, talent management, employee engagement, performance management, compliance, and succession planning. Oversees HR practice execution, analyzes workforce reports, coaches HR business partners, and supports recruiting, retention, development, and change initiatives. The role requires multi-unit leadership, conflict resolution, strong communication, and 30–40% travel.

Develops and executes recruitment marketing, employer branding, talent attraction, CRM, careers-site, and campaign strategies. Analyzes funnel metrics and marketing performance, manages budgets and vendors, optimizes recruiting media investments, oversees job advertising, and leads cross-functional projects to improve candidate engagement and hiring outcomes.

Leads enterprise AI opportunity discovery, prioritization, experimentation, and product direction. Defines use cases, guardrails, success metrics, adoption plans, and implementation guidance for probabilistic and agentic AI experiences. Evaluates build-versus-buy options, model architectures, vendor solutions, risk, performance, and compute economics. Partners with executives and cross-functional teams to scale validated AI capabilities and measure business value, quality, cost, and responsible adoption.

Leads retail media and AdTech capability workstreams, translating business needs into requirements, process flows, user stories, and implementation documentation. Supports media sales, inventory, campaign trafficking, activation, measurement, attribution, ROAS reporting, audience activation, and privacy-safe data collaboration. Coordinates platform integrations, pilots, testing, performance reporting, vendor research, and launch readiness while identifying dependencies, risks, and optimization opportunities across cross-functional teams.

Leads strategy, capability design, architecture, implementation, governance, and roadmap development for Kohl’s Retail Media Network and AdTech ecosystem. Translates business and advertiser needs into technology requirements, process designs, integrations, and measurable outcomes across media sales, inventory, campaign execution, attribution, billing, and reporting. Evaluates platforms and vendors, improves automation and scalability, and guides cross-functional teams through delivery and launch.

Leads financial analysis, forecasting, budgeting, long-range planning, reporting, month-end close, journal entries, reconciliations, technical accounting research, and SOX control validation. Partners cross-functionally to identify trends, explain variances, improve profitability, ensure data integrity, and prepare analyses for executive and board-level committees.

Senior Reliability Engineer responsible for improving the resilience, availability, observability, and efficiency of systems and applications. Duties include driving SLOs and error budgets, leading incident response and root-cause analysis, automating toil, conducting chaos engineering and capacity planning, implementing monitoring and failover strategies, and mentoring engineers. The role requires software development, cloud, mainframe, systems architecture, networking, performance tuning, and monitoring expertise, with on-call participation.

Supports system resilience and availability through incident response, root-cause analysis, reliability engineering, observability, automation, chaos engineering, and preventative improvements. Participates in on-call rotations, blameless retrospectives, and software lifecycle practices. Requires programming skills, IBM Mainframe experience, and foundational knowledge of systems architecture, operating systems, and networking. Preferred experience includes cloud platforms, containers, CI/CD, configuration management, monitoring tools, and Elixir.

Develops and executes corporate public relations plans, secures regional and trade media coverage, manages reactive inquiries, supports executive social media, and advises business partners. Responsibilities include drafting press materials, maintaining media relationships and lists, analyzing PR results, monitoring news trends, coordinating events, preparing media reports, and recommending strategic actions. The role requires strong communication, AP style proficiency, project management, prioritization, collaboration, and the ability to manage multiple initiatives in a fast-paced corporate environment.

Build and operate scalable machine learning infrastructure across the full ML lifecycle. Responsibilities include model serving, training environments, orchestration, ETL pipelines, cloud tooling, monitoring, alerting, automated testing, CI/CD, cost management, and reusable MLOps frameworks. The role partners closely with data scientists and engineers, supports production ML deployments, establishes best practices, and uses GCP services including Vertex AI, BigQuery, and Dataproc.

Manages ML Ops engineers and leads development, deployment, and operation of production machine learning systems. Owns ML engineering and data science tooling roadmaps, scalable cloud infrastructure, ETL pipelines, model serving, monitoring, testing, and CI/CD practices. Provides technical leadership to data science managers, coaches engineers, establishes best practices, and drives reliable ML lifecycle implementation using Google Cloud technologies and distributed computing platforms.

Leads end-to-end data science and AI/ML initiatives, including problem formulation, experimentation, model deployment, evaluation, optimization, and production monitoring. Develops prescriptive AI solutions, foundation-model and agentic-system evaluation frameworks, responsible-AI controls, RAG and knowledge-graph integrations, and model telemetry. Partners cross-functionally to improve business metrics, translate technical outputs into value, and mentor junior data scientists.

Manages vendor, agency, and merchant relationships across retail media campaigns. Oversees campaign planning, setup, execution, reporting, optimization, and client performance reviews. Partners with sales, analytics, product, and ad operations teams to improve client satisfaction, identify upsell and cross-sell opportunities, support renewals, reduce churn, and drive revenue growth using retail data, audience segmentation, and ad tech platforms.

Lead development of production AI applications, including RAG architectures, agentic workflows, MCP gateways, API integration layers, and compound AI systems. Optimize model quality, latency, reliability, cost, and GPU utilization while implementing observability, security, and enterprise integrations. Mentor engineers, establish software standards, champion XP practices, and collaborate with Product, Design, Data Science, and Machine Learning teams.

Associate Production Manager oversees product execution from vendor award through in-store delivery. Responsibilities include managing production timelines, vendor communication, capacity, replenishment, costing, sourcing strategies, product development, cross-functional coordination, and on-time delivery. The role also manages calendars, leads vendor meetings, trains coordinators, tracks progress, and supports cost analysis and vendor onboarding.