Senior Manager, Measurement and Decision Science

Kohl's

. Set strategy and roadmap and serve as directive lead for personalized customer experiences using advanced analytics .

Posted 11/9/2026full-timeRemote • Wisconsin • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics and big data to optimize customer engagement and lifetime value, with a strong focus on predictive modeling, experimentation design, and data-driven decision-making. Proven leadership in managing teams and strategic initiatives while fostering collaboration across multiple departments.

Highest-signal resume keywords

Advanced AnalyticsPredictive ModelingLeadership ExperiencePython ProficiencySQL Data Manipulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingOptimization AlgorithmsStatistical MethodsData AnalysisExperimentation DesignCausal InferenceA/B TestingData VisualizationMachine LearningGit

Soft Skills

CommunicationStorytellingCollaborationCoachingFeedback

Tools & Technologies

AgentAIDeep Learning

Certifications & Qualifications

Master’s DegreePh.D. (Preferred)

Industry Keywords

Customer EngagementPersonalizationData-Driven TargetingRetail AnalyticsStakeholder Management

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Set strategy and roadmap and serve as directive lead for personalized customer experiences using advanced analytics
Lead a team using big data and advanced analytical techniques to optimize customer engagement and lifetime value
Use customer-level 1:1 analysis/modeling for targeting initiatives
Consolidate learnings for personalization initiatives and strengthen data-based targeting
Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to identify learning opportunities, design experiments, measure results, and scale successful initiatives
Oversee activation of tests, model runs, segmentation, and stakeholder timelines
Document analytics assets and tests and capture insights
Partner with Technology Machine Learning Engineering to roll out modeling solutions in production
Liaise with Personalization, Customer Strategy, and Media teams to identify modeling use cases and optimize model usage
Develop talent, provide coaching and feedback, and build organizational partnerships
Manage multiple strategic initiatives while using communication, storytelling, and data visualization skills
Perform additional assigned tasks

Requirements

What you’ll need

Master’s Degree in quantitative areas such as Applied Mathematics, data science or related field
7+ years of relevant analytics experience
4+ years of leadership experience or oversight of a team
Proficient in Python for modeling, SQL for data manipulation, and Git
Experience with developing and scaling predictive models and optimization algorithms (retail preferred)
Strong understanding of experimentation design and causal inference (A/B testing, causal modeling, test-and-learn frameworks)
Advanced proficiency in data analysis, statistical methods and translating data into actionable insights
Preferred: Ph.D. in hard sciences, computer science, engineering, or other applicable field
Preferred: Ability to influence, collaborate and partner with teams and leaders across an organization
Preferred: Experience with cutting edge frameworks such as AgentAI, Deep Learning