Senior Manager, Data Analytics

Explore the possibilities across our global house of brands.

Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.

At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.

Primary

Purpose:

The Senior Manager, Data Analytics plays a pivotal role in accelerating growth across Tapestry’s EMEAI business by transforming routine reporting into actionable insights, driving the adoption of data-based measurement and championing automation and AI to accelerate decision making and operational efficiency.

Reporting to the VP of Finance & Operations EMEAI, the Senior Manager will collaborate with stakeholders from across the business to define priorities, uncover high-impact opportunities, and translate insights into business strategies that improve revenue, gross margin and customer experience.

The successful individual will leverage their proficiency in Data Analytics to:

• Centralize data integrity, reporting, tools architecture and trainingwhiledecentralizing insight creation and action. Partner across functions to design data-driven analyses, strategies, and tools
• Shift focus from static reporting to insight generation and build interactive visualizations, dynamic dashboards, and standard reports that highlight leading-indicator insights
• Perform large-scale analyses to uncover high‑impact acquisition drivers, media‑spend efficiency, and revenue‑growth actions. Translate results into clear, data-driven stories
• Drive organisation-wide adoption of databy measuring outcomes, showcasing impact, and promoting a data-first mindset for decision‑making
• Embed predictive models, automated reporting, and AI-driven recommendations(e.g., MAP efficiency, allocation optimization) and champion their use in business processes
• Drive adoption of automation and AIand lead AI/ML pilot projects, demonstrating tangible value, and promoting scaling of successful models
• Collaborate with Data Engineering, Data Science, and Algorithm teamsto innovate data sourcing, management, and product solutions
• Liaise with the Global Data Analytics teamto align reporting standards, sharing best practices, and fostering cross-regional data collaboration
• Maintain data integrity, develop reusable analytics tools, and provide stakeholder training to ensure teams rely on accurate and self‑service data
• Track key operational metrics, measuring operational efficiency, and driving process improvements to maximize sales/gross margin, improve the site-consumer journey and conversion, and focus the organization on acquisition levers

The accomplished individual will possess:

• Significant hands‑on analytics experience within retail, eCommerce, or consulting environments
• AdvancedSQLand ETL capabilities
• Strong data-visualisation expertise (Tableau or comparable)
• Hands‑on experience with Google Analytic sand Big Query
• Proficiency in Python or Rfor analysis and modelling
• Proven ability todrive adoption of data‑based measurement and turn metrics into strategic actions
• Demonstrated experience championingautomation and AI(automated pipelines, predictive models, AI‑assisted tools)
• Excellent storytelling, communication, and relationship‑building skills
• Track record of translating analytics into revenue‑driving initiative sand improving gross margin
• Ability to prioritise dynamically in a fast‑paced, global environment
• Bachelor’s degree in a quantitative…