• Lead the technical design, development, and architecture of cutting-edge AI and Generative AI solutions • Serve as a trusted technical advisor to national and international clients, guiding them from strategic planning stages through to the pilot and full-scale implementation of complex AI and GenAI projects • Provide hands-on technical leadership and guidance throughout the entire project lifecycle, from proof-of-concept to pilot and full-scale production deployment • Drive thought leadership in the evolving landscape of GenAI, large language models (LLMs), agentic AI systems, and emerging AI techniques • Actively participate in presales activities, providing deep technical expertise for proposal development, solution architecture, and technical scoping • Collaborate with clients to understand their business challenges and translate them into actionable AI strategies and technical roadmaps • Lead and manage specific technical workstreams within complex projects, ensuring deliverables meet the strategic goals, technical excellence, and quality standards expected by our clients • Contribute to the continuous development and technical refinement of Blend360's AI and Generative Solutions offerings.

• Lead the design, development, and deployment of scalable machine learning models to optimize vehicle selling and demand management • Identify business opportunities and collaborate with stakeholders to translate complex business requirements into machine learning solutions that drives growth and impact • Collaborate with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure • Monitor and improve model performance in production, communicate results with stakeholders and develop actionable next steps • Mentor and support junior data scientists, setting technical direction and ensuring best practices

• Simplify everything: Reduce our data stack complexity and eliminate waste across data warehouse, product analytics, and BI teams • Build reliability: Ensure data quality is so consistent that teams stop questioning numbers and start making decisions • Understand the business: Partner with departments to identify real priorities vs. nice-to-haves, focusing resources on what drives impact • Modernize operations: Leverage AI tools and establish new workflows that scale with our global growth • Lead transformation: Change how your teams work—from reactive data providers to proactive business enablers • Lead and evolve the Data function, with responsibility for people leadership and team structure

• Simplify everything: Reduce our data stack complexity and eliminate waste across data warehouse, product analytics, and BI teams • Build reliability: Ensure data quality is so consistent that teams stop questioning numbers and start making decisions • Understand the business: Partner with departments to identify real priorities vs. nice-to-haves, focusing resources on what drives impact • Modernize operations: Leverage AI tools and establish new workflows that scale with our global growth • Lead transformation: Change how your teams work—from reactive data providers to proactive business enablers • Lead and evolve the Data function, with responsibility for people leadership and team structure