Director, Marketing Analytics

Director, Marketing Analytics

Who We Are:

Saks is a world-renowned luxury ecommerce destination. The company’s unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world. 

On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home décor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.

Role Summary:

The Director, Marketing Analytics will lead corporate marketing planning and analytics for the integrated marketing team with the delivery of annual plan, quarterly planning and reporting, and daily sales and promotion analysis. Key deliverables are the maintenance and communication of accurate and timely marketing calendars and marketing reports.  Contribute to the implementation of the corporate and business marketing strategies and plan to ensure flawless execution, on time and on budget. Focus on providing best in-class support to Analytics teams by managing priorities through effective communication and business benefit estimation. The team will also need to be familiar with Adobe Analytics and our website data implementation to effectively leverage all critical data sources available for analyses.

Key Qualifications:

·       Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or related field.

·       Proven experience (10+ years) in leading analytics and data science teams, preferably in the retail or luxury fashion industry.

·       Proven expertise in establishing and building analytics across different retail functions. This will involve proposing org designs, POC ideation and implementation and strategic influencing of stakeholders.

·       Strong expertise in advanced analytics, machine learning, predictive modeling, and data visualization.

·       Proficiency in programming languages such as Python, R, or SQL, and experience with data management platforms (e.g., Hadoop, Spark).

·       Excellent communication, stakeholder management, and strategic planning skills.

·       Ability to thrive in a fast-paced, dynamic environment and drive results through collaboration and innovation.

Role Description:

·      As the Director of Analytics and Data Science, you will play a pivotal role in shaping our data consumption and analytics strategy by driving actionable insights to optimize business performance and customer satisfaction. 

·       The role holder will lead a current team of ~20 across Data Sciences, Marketing Measurement Acceleration and Business Analytics, based in Bangalore. 

·       The role will be responsible for building new capabilities across marketing technology and enhance the scope of the current teams outside the Marketing organization through stakeholder alignment. 

·       This role will be responsible for establishing analytics as a capability across Saks by strategically influencing stakeholders in the form of socializing use cases and proof-of-concept (POC) ideas. 

·       Reporting directly to the VP, India operations and to AVP, Analytics based in the United States, you will lead a talented team of analytics professionals and collaborate closely with cross-functional teams to deliver innovative solutions.

·       Data Governance: Establish and maintain robust data governance frameworks, ensuring data integrity, privacy, and compliance with regulatory standards.

·       Continuous Improvement: Drive continuous improvement initiatives, measure performance metrics, and implement best practices to drive efficiency and effectiveness.

·       Leadership: Provide strategic direction and leadership to the analytics and data science teams, fostering a culture of innovation, collaboration, and excellence.

·       Data Strategy: Develop and implement data strategies aligned with business objectives, leveraging advanced analytics, machine learning, and AI to drive competitive advantage.

·       Team Management: Build and mentor a high-performing team of data scientists, analysts, and engineers, ensuring their professional growth and success.

·       Stakeholder Collaboration: Collaborate with senior leadership, department heads, and external partners to understand business needs, identify opportunities, and deliver actionable insights.

·       Technology Integration: Evaluate and integrate cutting-edge technologies and tools to enhance analytic capabilities, automate processes, and improve decision-making.

·       Data Governance:Establish and maintain robust data governance frameworks, ensuring data integrity, privacy, and compliance with regulatory standards.

·       Continuous Improvement: Drive continuous improvement initiatives, measure performance metrics, and implement best practices to drive efficiency and effectiveness.