Design and optimize scalable BI solutions to transform complex datasets into actionable insights for executive leadership. Develop queries, visualizations, and data models while collaborating with IT and business stakeholders to enhance data-driven decision-making.
KOHLS
18 Remote Job Openings at KOHLS
Ensure the resilience and availability of systems through risk assessments, monitoring, and failover mechanisms. Drive incident response, perform root cause analysis, and implement automation to reduce toil and enhance operational excellence.
Ensure the resilience and availability of systems by implementing monitoring, failover mechanisms, and automation. Drive incident response, perform root cause analysis, and collaborate with development teams to improve operational excellence.
Lead and mentor a team of reliability engineers to drive operational excellence and embed SRE best practices across the software development lifecycle. Oversee critical incident triage, automation initiatives, and the implementation of robust monitoring and auto-healing practices.
Lead a cross-disciplinary team to evolve financial accounting products through the entire development lifecycle using lean and agile principles. Drive product strategy, manage backlogs, and collaborate with stakeholders to deliver user value and business outcomes.
The Technical Project Manager is responsible for the end-to-end planning and management of established company initiatives. This includes overseeing cross-functional teams, managing budgets, and ensuring technical requirements are translated into successful deliverables.
Accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities to enable business growth. This role focuses on operationalizing AI solutions and managing the lifecycle of data products to optimize retail operations.
Lead the development of domain data products, including batch, streaming, and AI/ML feature pipelines. Partner cross-functionally to design scalable data solutions and ensure data reliability, governance, and performance.
Lead a cross-disciplinary team to evolve products through the full software development lifecycle using lean and agile principles. Manage product strategies, prioritize backlogs, and conduct continuous research to deliver user value and business outcomes.
Investigate and resolve Organized Retail Crime (ORC) cases by partnering with law enforcement and analyzing investigative data. Support store loss prevention teams and provide regular updates on trends to senior leadership.
Collaborate with cross-functional teams to solve business challenges using advanced data analysis and machine learning models. Focus on cleaning large datasets, conducting exploratory analysis, and implementing optimization problems for supply chain and pricing.
Lead a cross-disciplinary team to evolve products through the full software development lifecycle using lean and agile principles. Collaborate with stakeholders to prioritize investments, define user outcomes, and drive business value for the enterprise.
Lead the development and deployment of machine learning models to power personalized digital experiences and recommendation systems. Collaborate with cross-functional partners to translate business requirements into technical solutions and mentor junior data scientists.
Assist in transitioning to a software-defined networking (SDN) strategy with a focus on automation and cloud integration. Support the design, maintenance, and troubleshooting of Kohl's network infrastructure to ensure scalability and security.
The Director of Loss Prevention Investigations leads a team to detect internal theft and implement shortage prevention strategies across all store locations. They are responsible for developing investigative models, managing technology needs, and collaborating with law enforcement to address organized retail crime.
Software Engineers will collaborate closely with design, product, and engineering experts to tackle real-world challenges and deliver innovative retail solutions. Key duties involve developing high-quality applications using extreme programming practices and participating in the entire application lifecycle.
The Senior Data Engineer will lead the development of robust, observable, and measurable high-quality applications using extreme programming practices and a user-centric approach. This role involves participating in the entire application lifecycle, leveraging critical thinking and data to implement desired business outcomes, and leading technical initiatives across the department.
As a Staff Data Architect, you will define and evolve the enterprise data architecture across the full data lifecycle. You will partner with various teams to ensure data solutions are scalable, well-governed, and aligned with business goals.