Senior Manager, Measurement and Decision Science

Kohls Construction

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics and big data to drive personalized customer experiences, leveraging predictive modeling and optimization algorithms. Proven leadership in managing teams and strategic initiatives while effectively communicating insights and collaborating across departments.

Highest-signal resume keywords

Python ProficiencySQL Data ManipulationPredictive Model DevelopmentExperimentation DesignLeadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsData AnalysisStatistical MethodsCausal InferenceOptimization AlgorithmsModeling TechniquesData VisualizationCustomer Engagement StrategiesSegmentationTest-and-Learn Frameworks

Soft Skills

Communication SkillsTeam CollaborationCoaching and FeedbackStorytellingTime Management

Tools & Technologies

GitData Analytics ToolsMachine Learning Engineering

Industry Keywords

Customer ExperienceRetail AnalyticsPersonalizationCustomer Lifetime ValueMarketing Partnerships

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 and modeling for targeting initiatives
Consolidate learnings from personalization initiatives to improve 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, including 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 for business impact
Develop talent, coach and provide feedback, and build partnerships across the organization
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 and statistical methods
Ability to translate data into actionable insights
Ability to maintain prompt and regular attendance as set by the company
Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week
Ability to comply with dress code requirements
Ability to learn and comply with all company policies, procedures, standards and guidelines
Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel
Ability to work as part of a team and interact effectively and appropriately with others
Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
Ability to satisfactorily complete company training programs
Ability to use a personal computer for tasks such as communicating and preparing reports
Ability to plan, prioritize and monitor activities across business units
Ability to complete or oversee the completion of assigned projects in a timely manner
Ability to comply with health and safety standards