Senior Director - Customer Data Science - SF - 2 Folsom

Strategic Leadership: 

• Provide visionary leadership in the development and execution of science-driven marketing and loyalty strategies aligned with omni-channel retail goals. 

• Collaborate with C-level executives to integrate analytics into overall business strategies. 

Team Management: 

• Lead and mentor a high-performing team of analytics and loyalty professionals, fostering innovation, collaboration, and continuous learning. 

• Oversee recruitment, training, and development of team members. 

Customer Models and Targeting: 

• Utilize advanced analytics to segment customers based on behavior, preferences, and demographics. 

• Develop customer models such as CLTV, Propensity, Engagement etc. 

• Develop targeted marketing campaigns to enhance customer engagement and drive sales across omni-channel platforms. 

Loyalty Program Optimization: 

• Oversee the analysis of loyalty program data to identify opportunities for optimization and growth. 

• Develop strategies to enhance the customer experience and drive increased participation in loyalty programs. 

Omni-Channel Attribution Modeling: 

• Implement advanced attribution modeling techniques to analyze the impact of marketing campaigns across various channels (online, offline, mobile, etc.). 

• Optimize marketing spend based on data-driven insights. 

Personalization and Customer Experience Enhancement: 

• Lead initiatives to enhance personalized marketing efforts based on customer data. 

• Collaborate with UX/UI teams to improve the overall customer experience across omni-channel platforms. 

KPI Development and Monitoring: 

• Define key performance indicators (KPIs) for marketing effectiveness, customer engagement, and loyalty program success. 

• Establish monitoring mechanisms and provide regular reports to leadership. 

Competitor and Market Analysis: 

• Conduct in-depth analysis of market trends, competitor marketing strategies, and emerging technologies. 

• Provide strategic recommendations to maintain a competitive edge in omni-channel retail. 

Cross-Functional Collaboration: 

• Collaborate with cross-functional teams, including marketing, e-commerce, and operations, to align analytics strategies with business goals. 

• Provide insights to inform decision-making across departments. 

Technology Integration: 

• Evaluate and implement advanced analytics tools and technologies to enhance the efficiency and effectiveness of marketing and loyalty analytics. 

• Proven experience in analytics, marketing, and loyalty roles within omni-channel retail

• Experience is developing CLTV, Propensity and Predictive customer models

• Strong leadership skills with experience managing and developing high-performing teams

• In-depth knowledge of analytics tools, attribution modeling, and loyalty program optimization

• In-depth understanding of Digital Analytics 

• Demonstrated success in leveraging data for personalized marketing campaigns and customer experience enhancement

• Excellent communication skills with the ability to present complex analytics concepts to non-technical stakeholders. 

• Strong storytelling ability to c-suite 

• Strong Statistics, Python/R skills