Senior Manager, Data Science

Role Overview

Lead and guide a team responsible for designing and delivering innovative business intelligence (BI) and data-driven solutions that meet current and future business needs. This position combines functional knowledge with technical expertise to develop robust analytics and machine learning applications.

Key Responsibilities

• Lead the architecture, design, and development of scalable data-driven solutions for analytics and machine learning.

• Deliver high-quality data science models aligned with defined performance and quality standards.

• Drive process improvements and enhance methodologies within the data science function.

• Collaborate with stakeholders across different functions to maintain transparency and alignment.

• Coordinate with global teams, providing project updates and proactively identifying potential risks.

• Oversee delivery of critical data science projects, ensuring timeliness and quality.

• Serve as the main point of contact for data-related initiatives, ensuring business requirements are met.

• Guide, mentor, and develop team members, fostering an inclusive and growth-oriented environment.

• Partner with Product Management and Business teams to define priorities and create impactful data solutions.

Ideal Candidate

• Typically 10+ years of relevant professional experience in data science or analytics, with background in leadership roles.

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or an equivalent field.

• Expertise in data-driven architecture, design, and implementation of scalable solutions for enterprise applications.

• Proficiency in Python, R, SQL, and familiarity with cloud-based analytics (AWS, Azure, GCP).

• Experience with data visualization tools (Tableau, Power BI) and libraries such as pandas, NumPy, scikit-learn.

• Knowledge of data modeling, ETL, data warehousing, and big data technologies.

• Familiarity with agile and waterfall methodologies in the product development lifecycle.

• Understanding of emerging trends in AI/ML, cloud solutions, and data engineering platforms like Databricks or Azure ML.

What we can offer you

🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
🤗 A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
🌟 A hybrid working model - We want our employees to do their best work, however the hybrid model works best for them.
🌈 A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
📈 A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
🎯 A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose