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Director of Data and Personalization Specialist

1 month ago

Old Toronto, Canada Knix Full time
Director of Data and Personalization Role Overview

At Knix, we are seeking a highly skilled and experienced Director of Data and Personalization to lead our data analytics and personalization efforts. As a key member of our leadership team, you will be responsible for developing and implementing data-driven strategies to enhance customer engagement and optimize loyalty programs across our omnichannel retail landscape.

Key Responsibilities:

  • Develop and implement data-driven strategies to enhance customer engagement and loyalty programs
  • Oversee a team of data analysts, data scientists, and business insights professionals
  • Ensure the right selection and integration of software tools to enable value creation through better marketing investments decision making
  • Utilize advanced analytics and data science to segment customers, develop models like CLTV and Propensity, and drive targeted marketing efforts
  • Analyze loyalty program data to identify growth opportunities and optimize customer experiences
  • Implement attribution models to assess the impact of marketing campaigns across various channels and optimize marketing spend
  • Lead initiatives to analyze customer cohorts behaviors and enhance personalized marketing to improve customer experiences in collaboration with UX/UI teams
  • Define KPIs, monitor performance, and report insights to executive leadership
  • Conduct market and competitor analysis to inform strategic decisions and maintain a competitive edge
  • Collaborate with cross-functional teams to align analytics strategies with business objectives and facilitate data-driven insights


About You:

We are looking for a seasoned professional with 7-10 years of experience in data analytics, data science, and business insights within a DTC business, with experience in a leadership capacity at the Director level. You should have extensive experience leading analytics, data science, and business insights teams within omnichannel retail, as well as expertise in developing CLTV, Propensity, and Predictive models to drive business results. Additionally, you should have a proven leadership ability to build, manage, and develop high-performing teams, as well as a strong command of analytics tools, attribution modeling, and loyalty program optimization techniques.