Senior Manager, Business Intelligence Engineer (Remote)

About the RoleIn this role you will drive the transformation of Kohl’s into a data-native organization by leveraging technical expertise and strategic insight. You’ll work with cross-functional teams and specialize in understanding how data is generated, transformed, and applied to drive business decisions. Your in-depth knowledge of the BI ecosystem will allow you to convert raw data into meaningful insights. You’ll help democratize the right data across the organization and ensure it is structured, scalable, and of high quality. What You’ll DoLead data and analytics strategies that span multiple balance teams and include the most complex cross-functional initiativesGuide a team of engineers and managers to promote strong data literacy Enable cross functional teams in identifying problem statements and areas for analysis prior to experiments or testingIndependently perform analysis of complex data sources to determine value and use given specific problem statementsAcquire and compile structured and unstructured data from disparate sources and verify its quality, accuracy and reasonablenessCreate data visualizations to enable data exploration and translate analytic insights into tangible, actionable solutions for business partners and leadersActively seek opportunities to expand technical knowledge and solicit feedback internally and externally to drive usability of our enterprise data platformAlign and deliver integrated solutions with analytics teams outside of the Kohl’s Technology departmentCollaborate with other BIE leaders to develop, document and share best practices and to collectively inform company strategic and tactical decisionsOversee and refine all processes for attracting, retaining, developing and coaching associates across multiple balanced teamsAdditional tasks may be assignedWhat Skills You HaveRequiredExperience with business intelligence tools such as Tableau or Qlik, including building interactive dashboards and visualizations for non-technical stakeholdersAbility to communicate and convey complex technical information clearly to all types of audiencesStrong problem-solving skills with a proactive approach to overcome challenges in data analysisAbility to collaborate effectively in cross-functional teams and work closely with stakeholders from different business units to promote data-driven decision-makingAbility to manage multiple priorities and projects with strong attention to detailExperience leading more than 1 team of individual contributors and managers Lead and coach engineers and managers across multiple teams, championing a lean product mindset and outcome-driven execution.Experience supporting advanced analytics, A/B testing/experimentation measurement.PreferredUndergraduate degree (BA/BS) in an analytic/quantitative field. A minimum of 10+ years of relevant professional experience in a data analysis role3+ years of formal managerial or leadership experience in analytics or retail organizationsExperience querying data using SQL and programming with Python and RExperience using any cloud data warehouses including Google Big Query, Amazon RedShift, Snowflake, etc.Experience building enterprise-grade data visualizations using Qlik, or Looker, with a strong understanding of semantic data modeling design.Familiarity with leveraging Generative AI tools (like Gemini) to build conversational analytics dashboards or automate reporting workflows.Experience in aggregate and semantic data modeling design for reporting.Job SummaryJob number: R488937Profession: Technology