Senior Manager, Data Analytics EMEAI

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach and Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.

Primary Purpose

The Senior Manager, Data Analytics plays a pivotal role in accelerating growth across Tapestry’s EMEAI markets by applying advanced analytics and data science. This position transforms routine reporting into actionable insights while promoting data led measurement, automation, and AI to accelerate decision making and operational efficiency. Reporting to the VP of Finance & Operations EMEAI, you will work closely with global business partners to define analytical priorities, surface high impact opportunities, and translate insights into tangible business strategies to improve revenue, gross margin and the customer experience.

Responsibilities

• Centralize data integrity, reporting, tools architecture and training while decentralizing 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 organization wide adoption of data by 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 AI by leading AI/ML pilot projects and demonstrating tangible value, and promoting scaling of successful models.
• Collaborate with Data Engineering, Data Science, and Algorithm teams to innovate data sourcing, management, and product solutions.
• Liaise with the Global Data Analytics team to 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.

Qualifications

• 5+ years of hands on analytics experience within retail, e commerce, or consulting environments.
• Bachelor's degree in a quantitative or technical field, or equivalent experience.
• Proven ability to drive adoption of data-based measurement and turn metrics into strategic actions.
• Exceptional storytelling, communication, and stakeholder relationship skills.
• Track record of translating analytics into revenue driving initiatives and improving gross margin.
• Advanced SQL and ETL capabilities.
• Strong analytical curiosity and a genuine passion for data driven problem solving.
• Expertise in data visualisation tools such as Tableau (or equivalent).
• Practical experience with Google Analytics and BigQuery.
• Proficiency in Python or R for analysis and modelling.
• Working knowledge of automation/orchestration platforms (e.g., Airflow, Prefect) and MLOps tooling.
• Track record of promoting automation and AI solutions (e.g., automated pipelines, predictive models, AI assisted tools).
• Experience deploying AI/ML solutions at scale (e.g. recommendation engines, demand forecasting).
• Ability to prioritise effectively in a fast paced, global environment and prior success influencing global data culture change.

Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.

What Tapestry can offer you

• Hybrid working (Tuesday, Wednesday, Thursday in-office, Monday and Friday remote).
• Flex Fridays (Option to finish early on a Friday).
• 1 Paid Volunteering Day per year and opportunities to volunteer with global projects.
• Learning & Development opportunities.
• Internal mobility & career progression.
• Regular seasonal and cultural social events.
• Equity, Inclusion & Diversity initiatives which include employee business resource groups.

Other benefits include

• 25 days holiday in addition to bank holidays.
• Annual Incentive Plan (company performance bonus).
• Multi brand discount up to 50% off Coach & Kate Spade New York.
• Private Healthcare with health assessment (Bupa).
• Private Dental Cover.
• Free 24/7 support for family building, fertility, maternity & newborn care, and menopause with Maven.
• Eyecare vouchers.
• Headspace subscription.
• Employee Assistance Program.
• Employer Pension Contribution.
• Gym discount.
• Interest free season ticket loan.
• Cycle to work scheme.

Our Competencies for All Employees

• Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
• Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
• Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
• Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
• Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
• Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
• Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.