Kohl's

DevOps Engineer

• 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

Manager, Reliability Engineering

• 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

Senior Reliability Engineer

Director

• Develop strategy and the overall perspective on what loyalty means to the Kohl’s customer and influence the program hierarchy to promote and reward customer behaviors
• Establish the member growth modeling and member lifecycle strategy
• Influence the creation of loyalty lifecycle moments, program benefits hierarchies and value propositions, including Kohl’s Card, MVC, Co-Brand Card, and Kohl’s Rewards program
• Drive acquisition into Kohl’s Rewards and Kohl’s Card with range of marketing strategies
• Drive all program promotion and marketing efforts, including management of program communication across marketing and digital touchpoints
• Lead marketing strategy with integrated program perspective on messaging, placement, audience, and offer
• Lead testing strategy for Kohl’s Card and Kohl’s Rewards programs - including value proposition and marketing
• Ensure promised benefits are delivered to customers as required and work with Compliance/Capital One to resolve any risk events that occur
• Partner cross-functionally to deliver loyalty offerings across all channels
• Integrate the Loyalty program voice and brand expression within broader marketing
• Lead and influence direct reports, systems and projects to achieve unit goals in accordance with company policies and practices
• Provide leadership by exhibiting influence and expertise, thus affecting the results of the operating area
• Additional tasks may be assigned as necessary

Director, Loyalty

Data Engineer

• 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

Vice President, Data Architecture and Engineering

Product Manager

• Manage the full software development lifecycle
• Collaborate with product leader on product-level strategies
• Conduct continuous research to identify valuable problems
• Create backlog stories and prioritize tasks
• Engage with product group to refine practices

Product Manager II

Data Analyst

• Assist in developing and maintaining the analytics framework for evaluating media performance across channels (onsite, offsite digital, traditional media)
• Produce recurring and ad hoc vendor performance reports and dashboards to support internal stakeholders and brand partners
• Support campaign analysis efforts, including pre-, mid-, and post-campaign performance reporting and insights generation
• Collaborate with cross-functional teams (Sales, Marketing, Engineering) to gather requirements and translate them into scalable reporting solutions
• Maintain and improve dashboards that visualize KPIs, benchmarks, and business outcomes tied to media effectiveness and ROI
• Partner with the Manager to support advanced analytics initiatives, such as incrementality testing, attribution modeling, and media mix modeling
• Compile and synthesize media, vendor, and category-level insights to inform strategic recommendations
• Ensure data accuracy and integrity by working closely with Data Engineering and IT on data sources and pipelines
• Contribute to the development of data-driven stories that demonstrate campaign success and drive advertiser renewals and upsell opportunities
• Analyze customer behavior and media interaction data to support media planning and optimization

Senior Analytics Analyst, Kohl's Media Network

• Serve as an internal change management practitioner, leading the people side of transformation initiatives across the enterprise (technology, digital, AI, and business model transformations)
• Act as the primary architect for the enterprise change management framework
• Provide strategic foresight on organizational readiness and human capital risks
• Design, launch, and govern the proprietary enterprise-wide change methodology
• Coach senior executives on change leadership
• Develop and execute change management strategies and plans
• Partner with Strategy and Internal Communications for compelling communications
• Establish and maintain measurement systems to track change adoption
• Collaborate closely with HRBPs and business sponsors

Director, Change Strategy

Full-stack Engineer

• Develop and maintain the customer experience across the Kohl’s ecosystem
• Oversee engineering teams and participate in technology engineering practice
• Drive the development of leading-edge engineering practices
• Collaborate with partners to drive technology decisions
• Provide leadership and work closely with the enterprise architecture team
• Ensure developed software adheres to standards
• Guide the creation of actionable insights through data analysis

Director, Engineering Leader

Platform Engineer

• 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

Associate Platform Engineer

Data Scientist

• 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

Data Scientist II

Network Engineer

• 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

• Assist in transitioning to a software-defined networking (SDN) strategy
• Support the design, development, and maintenance of Kohl’s network infrastructure
• Leverage software engineering practices and participate in code and design reviews
• Support the implementation of SDN strategies using tools like Ansible and GitLab
• Provide support and assistance to senior engineers
• Assist in troubleshooting and resolving network issues
• Collaborate with cross-functional teams to support network requirements
• Stay up-to-date with emerging technologies and industry trends

Associate Network Engineer

Events

• Lead the Market Investigations team in effectively impacting shortage and safety initiatives across all stores
• Direct a team of Investigators responsible for detecting internal theft and providing guidance to the field organization on internal theft
• Set the vision and strategy to protect Kohl’s associates and company assets through technology and analytics
• Build and sustain an investigations model that drives results for the company
• Drive the internal shortage prevention strategy in partnership with key stakeholders
• Develop partnerships with outside law enforcement agencies to ensure large cases are prosecutable
• Collaborate and lead surveillance with peer retailers and law enforcement related to complex external cases
• Develop staff through coaching, performance feedback and intentional development opportunities

Director, Loss Prevention Investigations

Machine Learning Engineer

• Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
• Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
• Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
• Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
• Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
• Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
• Develop, document, and communicate implementations and best practices across the data science lifecycle
• Manage and communicate cloud infrastructure costs and budgets to project stakeholders
• Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps