Senior Manager, Measurement and Decision Science

Kohl's Corp.; Menomonee Falls (WI); On-site; USD 140,000 - 210,000; Full time

Job summary

Kohl's is seeking a Senior Manager of Measurement and Decision Science to set strategy and lead a team that delivers best-in-class personalized experiences using advanced analytics. You will guide diagnostics, customer-level modeling, and in-market testing to maximize engagement, retention, and lifetime value across Kohl's platforms.

You will partner with Marketing, Digital, Merchandising and Store leadership to design experiments, measure results, and scale successful initiatives, ensuring

Qualifications

• Master's degree in quantitative areas or related field.
• 7+ years of relevant analytics experience.
• 4+ years of leadership experience or oversight of a team.
• Proficient in Python, SQL, and Git for modeling and data manipulation.
• Experience with developing and scaling predictive models and optimization algorithms.
• Strong understanding of experimentation design and causal inference (A/B testing, causal modeling).
• Advanced proficiency in data analysis and translating data into insights.

Responsibilities

• Lead team that uses big data and advanced analytics to optimize customer engagement and lifetime value.
• Use customer level 1:1 analysis/modeling for targeting initiatives.
• Consolidate learnings towards personalization initiatives to improve targeting power over time.
• Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to design experiments and measure results.
• Oversee activation of tests, ensuring model runs, segmentation and timelines are provided to stakeholders.
• Document analytics assets and tests and capture insights.
• Collaborate with MLE team to roll out modeling solutions in production.
• Act as liaison with Personalization, Customer Strategy and Media teams to optimize model usage.

Skills

Python

SQL

Git

Predictive modeling

A/B testing

Causal inference

Data analysis

Leadership

Education

Master's degree in quantitative fields

Ph.D. preferred

Tools

Git

Job description

About The Role

As Senior Manager, Measurement and Decision Science, you will set strategy, roadmap and serve as directive lead to create best-in-class personalized experiences for Kohl's customers through use of advanced analytics geared towards diagnostics, customer level 1:1 modeling, as well as in-market testing.

What You'll Do

• Lead team that uses big data and advanced analytical techniques to optimize customer engagement and lifetime value
• Use customer level 1:1 analysis/modeling for targeting initiatives
• Play the lead role in consolidating learnings towards personalization initiatives that help make data based targeting more powerful over time
• Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to identify learning opportunities, design experiments, measure results, and scale successful initiatives
• Oversee flawless activation of tests, ensuring essential model runs, segmentation and timelines are provided to key stakeholders
• Ensure relevant analytics assets and tests are documented and that any insights are captured
• Partner with the Technology Machine Learning Engineering (MLE) team to implement the flawless roll-out of modeling solutions in production
• Act as main liaison with business partners in Personalization, Customer Strategy and Media teams to identify use-cases for modeling projects, and optimize model usage to drive highest business impact
• Foster a high-performing team environment by developing talent, providing coaching and feedback, and building strong partnerships across the organization
• Manage multiple strategic initiatives in a fast-paced environment while leveraging strong communication, storytelling, and data visualization skills
• Additional tasks may be assigned

Required

What Skills You Have

• 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
• Ability to influence, collaborate and partner with teams and leaders across an organization
• Experience with cutting edge frameworks such as AgentAI, Deep Learning