Head of Applied Science, Data Engineering & Analytics - Customer Care Technology (all genders)
Head of Applied Science, Data Engineering & Analytics - Customer Care Technology (all genders)
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Job Description
THE ROLE & THE TEAM
Zalando serves over 50 million active customers and our Customer Care team is on a transformation journey. We are leveraging state-of-the-art data and AI strategies to move beyond reactive support to proactive personalised and even predictive customer experiences.
As the Head of Agentic AI Data & Analytics for Customer Care you will be the visionary and hands-on leader shaping and driving our data and AI strategy. You will lead a high-performing organization of data scientists analysts and engineers defining the long-term vision for data within Customer Care. Youll thrive at the intersection of strategy technology and leadership creating significant business value by disrupting the way we work and bringing state-of-the-art solutions to our customers.
Find out more about our Data & Analytics teams: BY DESIGN
At Zalando our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications merit and business needs. We welcome applications from people of all gender identities sexual orientations personal expressions racial identities ethnicities religious beliefs and disability statuses. We only want to know why youre great for this role so please avoid including your picture age and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need so we can best support and assist you throughout the hiring process.
- our diversity & inclusion strategy: WED LOVE YOU TO DO (AND LOVE DOING)
Youll lead with vision by defining and owning the data analytics and AI strategy for Customer Care taking a hands-on approach to shaping architecture tooling and analytical direction.
Youll build and mentor high-performing cross-functional teams of data engineers applied scientists and analysts fostering an inclusive and collaborative culture.
Youll drive business impact with a product mindset championing a customer-focused approach to design and deliver data solutions aligned with business needs.
Youll drive innovation by leveraging the latest data and AI advancements to solve complex problems and strategically evaluate build vs. buy options for new technologies.
Youll ensure technical excellence by maintaining high-level technical discussions with your experts and continuously raising the technical bar for the team.
Youll act as a strong communicator translating complex technical topics for non-technical audiences and advocating for data needs across the organization.
WED LOVE TO MEET YOU IF
You are an authentic and inspiring technology leader with a clear vision and a commitment to build empower and coach a high-performing organisation.
You have 7 years of Data Science and/or ML-Engineering experience including at least 4 years in a leadership capacity overseeing multidisciplinary data teams.
You possess a depth of technical expertise in data engineering moving ML-based solutions into production and have hands-on experience with technologies like Docker Git AWS (EC2 S3) Databricks and Postgresql.
You are a strategic and analytical thinker with practical execution skills knowing when to push for long-term improvements and when to deliver quick value.
You are highly collaborative and have experience partnering closely with Applied Science Product and Engineering counterparts to craft an overarching strategy.
You possess excellent communication and stakeholder management skills with the ability to present ideas with clarity and translate technical strategy into business impact.
If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles!
OUR OFFER
Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Relocation assistance available (subject to prior agreement)
Family services including counseling and support
Health and wellbeing options (including Wellhub formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: Experience:
Director
Employment Type
Full-Time
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