Senior Manager, Measurement and Decision Science

This is a fully remote position, open to applicants in Wisconsin.

📋 Description

• Establish the strategy and roadmap while taking the lead in directing personalized customer experiences through advanced analytics.

• Guide a team utilizing big data and sophisticated analytical techniques to enhance customer engagement and maximize lifetime value.

• Implement customer-level 1:1 analysis/modeling for targeted initiatives.

• Integrate insights from personalization initiatives and enhance data-driven targeting.

• Collaborate with Marketing, Pricing, Digital, Merchandising, and Store leadership to pinpoint learning opportunities, design experiments, evaluate results, and expand successful initiatives.

• Supervise the activation of tests, model executions, segmentation, and stakeholder timelines.

• Record analytics assets and tests while capturing insights.

• Work alongside Technology Machine Learning Engineering to deploy modeling solutions into production.

• Coordinate with Personalization, Customer Strategy, and Media teams to identify modeling use cases and improve model utilization.

• Cultivate talent, offer coaching and feedback, and foster organizational partnerships.

• Manage various strategic initiatives while employing communication, storytelling, and data visualization skills.

• Undertake additional assigned responsibilities.

⛳️ Requirements

• Master's Degree in quantitative disciplines such as Applied Mathematics, Data Science, or a related field.

• Over 7 years of relevant experience in analytics.

• Minimum of 4 years in a leadership role or supervising a team.

• Competent in Python for modeling, SQL for data manipulation, and Git.

• Experienced in developing and scaling predictive models and optimization algorithms (retail experience preferred).

• Strong grasp of experimentation design and causal inference (including A/B testing, causal modeling, and test-and-learn frameworks).

• Advanced skills in data analysis, statistical methods, and converting data into actionable insights.

• Preferred: Ph.D. in hard sciences, computer science, engineering, or another relevant field.

• Preferred: Capability to influence, collaborate, and partner with teams and leaders throughout the organization.

• Preferred: Familiarity with cutting-edge frameworks such as AgentAI and Deep Learning.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work environment to support work-life balance.

• Collaborative and inclusive company culture.