• Diseñar y desarrollar funcionalidades core del producto • Definir arquitectura y estándares técnicos junto al equipo • Construir experiencias conversacionales (texto / voz) robustas y escalables • Integrar LLMs, agentes y flujos AI-first con foco en calidad y performance • Evaluar costos, latencia y escalabilidad en entornos AI • Participar en decisiones de producto junto al PO • Elevar el nivel técnico del equipo con criterio y buenas prácticas • Proponer mejoras constantes en arquitectura, experiencia y procesos

• Set the Vision: Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it tightly with company priorities and customer outcomes • Partner with executive leadership to influence technology investment decisions, trade-offs, and long-term roadmap planning • Drive smarter usage and optimization of existing platforms across Fulfillment, Returns, and Customer Support using data-driven insights • Build and Lead a High-Impact Team: Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers • Create a culture of ownership, curiosity, and delivery—coaching the team on both technical excellence and business impact • Deliver complex initiatives in collaboration with Engineering, Data Engineering, Product, and Business teams • Drive Experimentation & Learning: Champion a test-and-learn mindset, embedding experimentation into how technology decisions are made • Lead experimentation design, measurement frameworks, and testing strategies across initiatives • Apply advanced analytical techniques to evaluate outcomes, run “what-if” scenarios, and provide clear recommendations • Advance Algorithms & AI: Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience • Ensure models are scalable, explainable, and aligned with real-world operational needs • Be a Connector & Storyteller: Translate business challenges into actionable data and AI initiatives • Communicate complex technical concepts with clarity and confidence to non-technical partners • Present insights, progress, and recommendations to senior and executive leadership

• Design and execute the enterprise AI enablement strategy, ensuring employees have the skills and confidence to leverage AI tools for productivity, efficiency, and innovation • Lead the rollout and adoption of enterprise AI tools, partnering with IT, Communications, and business leaders to drive engagement and measurable impact • Create learning pathways, resources, and just-in-time training that meet employees where they are—from AI-curious to power users • Develop AI fluency programs that help employees understand when and how to use AI effectively, including prompt engineering, workflow integration, and critical evaluation of AI outputs • Establish metrics and feedback loops to measure AI adoption, productivity gains, and employee confidence • Stay current on emerging AI capabilities and continuously iterate on enablement strategies to keep Transcarent at the forefront • Design, build, and facilitate leadership development programs that meet leaders where they are in their leadership journey—from first-time managers stepping into leadership for the first time to senior leaders driving enterprise strategy • Upskill leaders on the high-value human work of leadership: building trust, developing talent, having courageous conversations, coaching for performance, and creating environments where people do their best work • Enable leaders to leverage AI tools effectively so they can spend less time on administrative tasks and more time on the work that matters—leading, developing, and connecting with their teams • Partner with People Business Partners to identify leadership capability gaps and design targeted interventions • Facilitate workshops, cohort programs, and experiential learning, and build scalable resources—toolkits, guides, self-directed learning—that support leaders in the moments that matter • Rethink and transform the Learning & Development function through an AI-first lens • Leverage AI to create more personalized, efficient, and impactful learning experiences • Build systems that enable continuous learning, just-in-time support, and knowledge sharing across the organization • Partner cross-functionally to embed learning and development into the employee journey

• Partner with executive sponsors and end users to identify high‑impact use cases • Lead strategic reviews and advise customers on their AI roadmap • Translate business needs into clear problem statements and AI solutions • Conduct discovery workshops and guide rollouts of the Glean platform • Design and build AI agents with and for customers • Identify expansion opportunities and drive engagement across teams