Team Leader

Why this role matters

Lead a cross-functional Data & Analytics team embedded within a specific business domain, focused on delivering best-in-class insights, data platforms, and BI/ML/DS solutions to support product and business decision-making.

Own and develop the data & analytics strategy for the domain, ensuring delivery across the full data value chain — from data engineering and data modeling to advanced analytics and causal inference— aligned with business goals and company-wide standards.

Act as a key partner to divisional stakeholders, deeply understanding product, operational processes, and domain-specific metrics, and translating them into scalable data solutions

What you'll actually do

• Lead a cross-functional data and analytics team 
• Monitor team performance and evaluate progress against goals and KPIs
• Provide continuous feedback, coaching, and development plans
• Facilitate strong collaboration, transparency, and ownership within the team
• Cascade division and company strategy, ensuring visibility of insights and impact
• Demonstrate technical leadership across analytics, data engineering, and research
• Own and drive the Data & Analytics roadmap for the division
• Translate domain-specific problems into data initiatives
• Define KPIs, metrics frameworks, and data definitions for the division
• Align divisional data initiatives with central data governance and architecture
• Lead analytics initiatives, including data collection, analysis, causal inference, reporting, and visualization
• Ensure high-quality insights that drive product, operational, and commercial decisions
• Promote experimentation culture (A/B testing, incrementality)
• Maintain quality control on data queries, dashboards, and insights
• Oversee development of predictive and prescriptive models (e.g. churn, LTV, trading behaviour)
• Ensure proper model lifecycle: experimentation → validation → production → monitoring. Introduce new methodologies and improve existing models 
• Drive adoption of casual inference analysis with measurable business impact
• Own team backlog, prioritization, and delivery aligned with business needs
• Drive execution of data initiatives and ensure timely delivery and proper quality control
• Continuously improve processes, technological stack , and operational efficiency
• Ensure alignment between analytics, research, and data engineering workflows
• Ensure data quality, consistency, and integrity across datasets
• Define and monitor data SLAs and quality metrics
• Ensure compliance with internal standards and regulatory requirements
• Lead adoption of data management practices within the division

Who we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field
• 5–10+ years of experience in Data Analytics / Data Science / Data Engineering
• 2+ years of experience in a leadership or team lead role
• Experience in fintech / trading / payments / high-load product environments is a strong advantage
• Solid understanding of data engineering concepts (ETL/ELT, pipelines, data modeling)
• Advanced SQL and Python skills
• Experience with BI tools (Tableau, Power BI, Looker, etc.)
• Experience with ML lifecycle and productionization
• Understanding of experimentation frameworks and statistical analysis
• Understanding of domain-specific data (CR or support)
• AI, LLM and agents power user
• Strong leadership and people management skills
• Ability to influence stakeholders and drive alignment
• Excellent communication skills and ability to present complex topics clearly
• Strong problem-solving and critical thinking skills
• Ability to manage multiple priorities and operate in a fast-paced environment
• Divisional leadership (Product, Engineering, Business stakeholders)
• Cross-functional teams across the organization

What we offer along the way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

What your journey looks like

1. Intro call with Recruiter (30 minutes)
2. Online Leadership Assessment
3. Technical interview  (60 minutes)
4. Behavioural interview (60 minutes)

Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.