Lead the design, development, and deployment of analytics and machine learning solutions that drive measurable business outcomes.
Requirements
- Strong hands-on experience developing and deploying machine learning models and algorithms at scale.
- Deep understanding of ELT processes, data modeling, and data product management.
- Proficiency in modern analytics technologies (e.g., Python, SQL, DBT, Power BI, Tableau, Snowflake, Databricks).
Responsibilities
- Lead enterprise ELT (Extract, Load, Transform) strategy to ensure clean, structured, and business-ready data for downstream analytics.
- Own semantic layer design and data product definition in support of enterprise-grade analytics, advanced modeling, and data democratization across the business.
- Oversee development and deployment of predictive and prescriptive models (e.g., forecasting, recommendation systems, customer segmentation, optimization).
- Identify and prioritize high-impact machine learning use cases in collaboration with functional leaders.
- Establish best practices for experimentation, model governance, MLOps, and continuous improvement.
- Lead the creation of dashboards, reports, and interactive tools that drive strategic and operational decisions.
- Build reusable analytics assets to enable scale, speed, and reliability in insights delivery.
Other
- 15+ years’ experience in Analytics, Data Science, or Business Intelligence; 5+ years in a senior leadership role
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Engineering, or related field, required; Master’s Degree or Advanced Technical Degree, preferred
- Experience in Travel, Transport, Hospitality, or Automotive industries, preferred
- Strong executive communication skills and ability to influence cross-functional stakeholders.
- Ability to collaborate with internal and external stakeholders across multiple functions and locations
