About this role
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