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 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 organisation‑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 and lead AI/ML pilot projects, 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

The accomplished individual will possess:

Significant hands‑on analytics experience within retail, eCommerce, or consulting environments

Advanced SQL and ETL capabilities

Strong data‑visualisation expertise (Tableau or comparable)

Hands‑on experience with Google Analytics and BigQuery

Proficiency in Python or R for analysis and modelling

Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions

Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)

Excellent storytelling, communication, and relationship‑building skills

Track record of translating analytics into revenue‑driving initiatives and improving gross margin

Ability to prioritise dynamically in a fast‑paced, global environment

Bachelor’s degree in a quantitative or technical discipline

Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)

Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling

Prior success influencing global data‑culture change and promoting data‑centric decision making

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 - Thursday working from the office, Monday and Friday working remotely)

Option to finish early on a Friday (Flex Fridays)

1 paid volunteering day per year and opportunities to volunteer with global projects

Learning & development opportunities

Internal mobility & career progression

Regular social events - seasonal & cultural

Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council

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 and Kate Spade.

Private healthcare with health assessment (Bupa)

Bupa rewards - Financial wellbeing support and wellness discounts

Private dental cover

Free 24/7 support for family building, fertility and menopause with Maven

Eyecare vouchers

Employee assistance programme

Enhanced employer pension contribution

Gym discount

Interest free season ticket loan

Cycle to work scheme

At Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that’s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.

• 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.

Our Competencies for All People Man