Senior Manager, Measurement and Decision Science

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

What Skills You Have

Required

• 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