Data Analytics Director

Overview: The Director of Analytics will lead and support teams of data analysts and data scientists embedded within product teams, empowering our organization to make data-driven decisions. This leader will drive the application of advanced data analysis, data science, and AI techniques—including LLMs, GPTs, and other AI-driven models—to unlock insights from vast enterprise datasets.

The role spans multiple business functions, including sales, marketing, revenue management, fleet operations, supply chain, pricing, workforce management, e-commerce, customer service, and strategic performance. The ideal candidate will have hands-on experience in enterprise-scale analytics, a deep technical understanding of AI and machine learning, and a strong ability to foster and develop high-performing teams.

Key Responsibilities:

• Lead and mentor teams of data analysts and data scientists, ensuring high engagement, career development, and exceptional performance.
• Identify and prioritize analytics opportunities in collaboration with business leaders and stakeholders.
• Drive AI-powered data initiatives, including customer segmentation, risk modeling, cost prediction, and operational efficiencies.
• Guide teams in leveraging data lakes, data warehouses, BI tools, and AI/ML models to optimize business processes and decision-making.
• Oversee recruitment, training, and professional development strategies to build a world-class analytics organization.
• Manage relationships with onshore and offshore analytics partners, ensuring optimal resource allocation and performance.
• Provide strategic input on data architecture, tooling, and best practices for analytics and AI-driven decision-making.
• Advocate for data-driven culture and innovation, ensuring analytics plays a pivotal role in digital transformation efforts.
• Stay ahead of industry trends in AI, machine learning, and analytics to keep our teams and strategies competitive.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Operational Research, or a related field (Master’s preferred).
• 8-10 years of experience in analytics, data science, AI/ML, or a related field.
• Strong expertise in applying AI/ML techniques, including experience with LLMs, GPTs, and AI-powered analytics.
• Demonstrated success in managing and scaling analytics teams in a large enterprise.
• Proven experience in enterprise-wide analytics programs, digital transformation, and advanced data modeling.
• Strong background in data engineering concepts, including cloud-based data platforms (AWS, Azure, or GCP).
• Hands-on experience with Python, R, SQL, Tableau, Power BI, and machine learning frameworks.
• Experience working in Agile environments, particularly with product teams and Scrum methodologies.
• Ability to engage and communicate effectively with senior executives and business leaders.
• Experience managing budgets, vendor relationships, and multi-site analytics operations.

Preferred Skills & Technologies:

• Experience with SAFe (Scaled Agile Framework) and Agile product development.
• Familiarity with AWS data and AI services such as SageMaker, Glue, Athena, and Kinesis.
• Strong knowledge of data engineering tools like Kafka, Airflow, and Informatica.
• Understanding of natural language processing (NLP), predictive analytics, and automation.
• Background in leveraging AI to drive operational efficiencies and personalized customer experiences.
• Thought leadership, including conference speaking, industry contributions, or published articles.

What We Offer:

• Competitive salary and benefits, including medical, dental, vision, and life insurance.
• 401(k) plan with company-matched contributions.
• Employee discounts on mobility services, including car rentals and vehicle purchases.
• Opportunities for continuous learning, innovation, and leadership development.
• A dynamic, fast-paced work environment that feels more like a startup than a Fortune 500 company.
• Flexible work arrangements, including remote collaboration and a hybrid office schedule.

About Us: Avis Budget Group is a global leader in mobility solutions, with 11,000 locations across 180 countries. We are undergoing a multi-year digital transformation to enhance customer experiences, digitize operations, and harness the power of AI and data science. Join us in shaping the future of mobility and unlocking the full potential of enterprise analytics.

Avis Budget Group is an equal opportunity employer – M/F/Veterans/Disabled.

The fine print:

Avis Budget Group is an equal opportunity employer – M/F/Veterans/Disabled.

This advertisement does not constitute a promise or guarantee of employment. This advertisement describes the general nature and level of this position only. Essential functions and responsibilities may change as business needs require. This position may be with any affiliate of Avis Budget Group.