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Qualifications 15+ years of experience in enterprise data architecture, data engineering, analytics and AI/ML. Proven track record leading large-scale data and AI transformation programs in consulting, system integration or enterprise environments. Hands-on experience with MLOps, model deployment, monitoring and lifecycle management. Deep familiarity with cloud platforms (Microsoft Azure, AWS, Google Cloud Platform) and cloud-native data technologies. Strong understanding of data security, privacy and regulatory compliance requirements. Excellent stakeholder management, communication and mentoring capabilities. Bachelor's degree in Computer Science, IT, Engineering, Data Science or related discipline; Master’s preferred. Relevant certifications in Cloud, Data Engineering, AI/ML or Data Architecture are desirable. Desired Skills: Enterprise data strategy and transformation Solution architecture and design Technical leadership & mentoring Pre-sales and client engagement