Head of Analytics & Data Science (all genders)

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Head of Analytics & Data Science (all genders)

What you'll do

Define and execute the Business Intelligence strategy for Eurowings as the central enabling capability serving all departments and domains

Own the company-wide measurement infrastructure: KPI frameworks, reporting standards, forecasting methodologies and performance dashboards

Lead multidisciplinary teams across Commercial Analytics, Digital Analytics, and Data Science

Run a hybrid operating model with central analytics standards and embedded product analysts

Define analytics quality, governance, and best practices across the organisation

Partner with Revenue Management to develop demand forecasting and pricing models

Drive the shift from reporting to predictive, prescriptive, and ML-powered analytics

Expand self-service analytics through LLM-powered assistants and natural-language querying

Build experimentation capabilities to support data-driven product and commercial decisions

Ensure responsible, compliant use of data and AI across the organisation

Ihr Profil:

What you'll need

As an enabling function, your impact shows up in how well the rest of the organisation decides and moves: adoption of self-service analytics, time from question to trustworthy answer, data quality and metric consistency across departments

• Degree in Business, Economics, Data Analytics, Statistics, Computer Science, or a related field
• Several years' leadership experience in BI, Analytics, or Data Science, including leading leaders and multidisciplinary teams
• Experience in federated or hub-and-spoke analytics operating models
• Proven track record delivering analytics and ML solutions with engineering teams
• Strong commercial mindset with the ability to translate data into business value

What you'll bring

• Strong commercial mindset with the ability to translate data into business value
• Knowledge of responsible AI practices and the European regulatory landscape
• Excellent stakeholder management and communication skills
• Experience with SQL, Power BI, Tableau, and cloud data platforms