About the Role As the Senior Director of Data Science Marketing and Loyalty in Omni-Channel Retail, you will lead a dynamic team responsible for driving data-driven marketing strategies and optimizing customer loyalty programs across various channels. This strategic role requires seasoned data science professional with a deep understanding of omni-channel retail dynamics and a proven track record in leveraging data to enhance customer engagement, marketing effectiveness, and loyalty program performance. What You’ll Do 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. Who You Are 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 #J-18808-Ljbffr
Cross-functional teams Competition analysis Market Researcher Data Science Python Analytics Lifetime Value (LTV) Director R Leadership integration Marketing