Manager Of Database Marketing Analytics

Responsibilities

• Be the Subject Matter Expert (SME) on all database marketing initiatives including the customer database, marketing toolset, identity resolution partnerships, data governance and database development.
• Partner with IT to lead the development of the customer database roadmap in the short term, while also setting the vision for the future of the customer database, identifying new capabilities and technologies to enhance the team’s impact.
• Oversee the development of the company's infrastructure which includes strategy, design, development, architecture, structure and business rules for CRM & Marketing applications.
• Enable the data and reporting infrastructure for intelligent marketing and customer analytics related to the development of loyalty and brand marketing campaigns with the goal of increasing customer engagement, driving incremental sales and increasing profitability of marketing programs.
• Evangelize the power of data, analytics & automation to drive key business, digital and technology decisions.
• Lead the use of analytics to develop innovative ways to increase customer engagement, spend, ROI and reduce churn.
• Enable digital and multi-channel customer analytics efforts by developing the data strategy and integration plan for offline and online customer visitation and behavior trends.
• Work cross-functionally to develop and maintain predictive models, advanced segmentation, data exploration, data visualization and data mining solutions to refine targeting and understand customer behavior.
• Develop rules for managing data, governance, sharing, reporting, privacy, security, etc.
• Work to integrate new and emerging sources of data into the database to create and enhance visibility in the Customers’ journey.

• Minimum 10 years’ experience in database marketing and analytics, with 5+ years leading and coaching/developing team of analysts.
• Background building data products that enable the analysis of consumer behavior and marketing science.
• Experience working with big data, extracting, manipulating, governing and understanding data.
• Strong knowledge of SQL and Python, preferably within a cloud-enabled environment (e.g. Snowflake, Databricks)