Director, Data Science - Analytics

Role overview

Leadership and strategy

• Lead and develop analytics managers and senior analysts, building collaboration, accountability, and continuous learning.
• Partner with VP- and SVP-level stakeholders in B2B Commercial Operations and Partner Experience to shape strategy and convert business challenges into analytics initiatives.
• Oversee multi-year analytics roadmaps and programs aligned to business objectives and measurable impact.

Analytics delivery and collaboration

• Guide teams in applying advanced analytics, machine learning concepts, and statistical methods to B2B partner challenges.
• Establish best practices for analytics engineering, model development, and data visualization.
• Collaborate with Data Engineering, Machine Learning, and Product teams on scalable solutions and next-generation tools.
• Promote inclusive design and data democratization through automated dashboards, training, and self-service analytics.

Talent, communication, and innovation

• Develop recruitment, performance evaluation, succession planning, and cross-functional development approaches.
• Present insights and recommendations to large audiences, communicating technical concepts to specialist and non-specialist stakeholders.
• Stay current on AI, machine learning, and analytics methods and identify opportunities to apply innovations.

Experience and qualifications

• PhD, master's, or bachelor's degree in mathematics, statistics, computer science, or a related technical field, or equivalent related professional experience.
• 12+ years in data analytics, data science, or a comparable role.
• 4+ years managing analytical teams, including developing managers who lead analyst teams.
• Track record creating meaningful change through multi-year roadmaps or programs with measurable business impact.

Technical and leadership skills

• Expert-level SQL and proficiency in at least one scripting language, such as Python or R.
• Experience with statistical techniques, experimental design, A/B testing, causal inference, and machine learning concepts.
• Strong communication and influencing skills, including senior-leadership presentations and facilitating strategic decisions.
• Experience recruiting and evaluating talent and participating in peer and team performance reviews.

About Expedia Group