Jobs at Kohl's

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.

Coordinates gift card inventory, production, restocking, system configuration, testing, reporting, billing, and invoice approvals. Manages eGift and third-party gift card integrations, resolves guest inquiries, and coordinates marketing creative requests and asset approvals. The role requires strong organization, attention to detail, project coordination, reporting, and collaboration with marketing, design, and business teams in an onsite corporate-office environment.

Conducts quantitative and qualitative consumer research to generate actionable insights for marketing, merchandising, product development, and digital strategies. Designs and manages research studies, analyzes statistical and qualitative findings, develops recommendations, coordinates external vendors, monitors project execution, and communicates insights to business partners and senior leadership.

Supports financial reporting and accounting processes through SEC filing preparation, journal entries, month-end close, account reconciliations, U.S. GAAP analysis, audit support, SOX compliance, and financial data analysis. Collaborates with business partners to maintain accurate financial information and improve accounting systems, processes, and reporting.

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.

Supports product production from vendor award through in-store delivery, coordinating cross-functional teams, vendors, sourcing, materials, merchandising, costs, capacity, timelines, and replenishment. Manages timing and action calendars, tracks progress, leads vendor meetings, supports product development and cost engineering, and helps ensure on-time delivery. The role also trains coordinators and may support costing, vendor selection, negotiations, and onboarding.

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.

Supports product lifecycle execution through data entry, sample organization, package handling, purchase order management, style setup, office processes, meeting support, and cross-functional communication. Maintains sample rooms and workspaces, coordinates photo studio sample turn-ins, prepares review submissions, and escalates business-impacting issues. Home and NYDO locations also oversee packaging requests, approvals, compliance, sustainability requirements, and vendor communication.

Partners with logistics business leaders to drive retention, engagement, culture, accountability, compliance, and associate experience initiatives. Provides HR guidance, analyzes workforce trends and root causes, advises on risks and opportunities, supports HR program adoption, and develops reports using business insights and data tools. Requires strong communication, analytical, planning, organizational, decision-making, and leadership skills, with flexibility for occasional nights, weekends, and holidays.

Lead data science initiatives involving exploratory analysis, statistical and machine learning model development, experimentation, optimization, and business metric improvement. Design and deploy personalization, recommendation, and ranking systems across digital channels, addressing cold-start and large-catalog challenges. Collaborate with engineering and stakeholders to translate business needs into scalable technical solutions, drive adoption of data products, and mentor junior data scientists.