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About the Role
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. 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.
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 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 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.
Requirements
- 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.
- 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.
- Must possess the right to work in the UK; visa sponsorship is not provided.
Skills
- Data Analytics
- SQL
- ETL
- Tableau
- Google Analytics
- BigQuery
- Python
- R
- AI
- Machine Learning
- Airflow
- Prefect
- MLOps
Location
- EMEAI
Work Type
- Hybrid
- Full-time
Experience Level
- Senior Manager
Education Level
- Bachelor’s degree in a quantitative or technical discipline
Benefits
- 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
- 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
About the Company
- 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.
- 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.
Equal Opportunity
- Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people.
- All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration.
- These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.