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Lead strategy for Merchant Cloud's data, analytics, and agent-enabled commerce offerings. Define data and Agentic Commerce propositions, service models, and partnerships; prioritize merchant/acquirer use cases; influence roadmap and product delivery; support commercialization, go-to-market planning, and executive business cases while working cross-functionally to scale solutions globally.

Lead strategy for Merchant Cloud data, analytics, and agent-enabled commerce. Define propositions, prioritize use cases, influence product roadmaps, build partner ecosystems, and support commercialization and executive initiatives.

Lead strategy for Merchant Cloud data, analytics, and agent-enabled commerce. Define propositions, prioritize use cases, align product roadmaps, enable commercialization, and partner cross-functionally to scale global offerings for acquirers, channel partners, and merchants.

Lead strategy for Merchant Cloud data, analytics, and agent-enabled commerce. Define scalable product propositions, prioritize use cases, partner across product, engineering, data, and commercial teams, and support go-to-market and executive-level business cases to expand Merchant Cloud globally.

The Director will shape the Merchant Cloud strategy by defining product solutions that leverage data and AI-driven capabilities for global growth.

Lead product and commercial strategy for Merchant Cloud, defining data, analytics, and agentic-commerce propositions. Prioritize use cases, influence roadmaps, partner across product, engineering, data, and commercial teams, and support executive-level business cases to scale global offerings.

Lead Merchant Cloud data and agentic commerce strategy: define data/analytics and AI-driven propositions, prioritize use cases, shape product roadmaps, enable ecosystem partnerships, and support go-to-market and executive business cases.

Lead strategy for Merchant Cloud data, analytics, and agent-enabled commerce. Define propositions, prioritize use cases, influence roadmaps, partner across product, engineering, data, and commercial teams to deliver scalable, market-ready solutions.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build knowledge bases and APIs, optimize models in production, mentor engineers, and ensure data governance, security, and compliance.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs/microservices, monitor model performance, and collaborate across product and data teams while ensuring compliance, security, and operational excellence.