RIS AI Insight Accelerator Solutions Architect Sr Manager - Mumbai, MDC2B | Accenture Job

Qualifications Experience Minimum 8 years of experience in Data & Analytics, AI, Machine Learning, Business Intelligence, or Data Science related domains. Minimum 3–5 years of Solution Planning and Deal Shaping experience including RFP responses, staffing models, pricing inputs, solution estimations, and executive presentations. Experience designing and implementing AI, analytics, and machine learning solutions on AWS and/or GCP. Experience leading solution workshops, discovery sessions, analytics assessments, and value realization discussions. Demonstrated ability to translate business requirements into scalable architecture and engineering solutions. Experience developing proof-of-concepts, reusable accelerators, pilot solutions, and innovation assets. Experience supporting analytics modernization and AI transformation initiatives. Education Bachelor’s degree or equivalent (minimum 12 years of work experience). Associate degree with at least 6 years of relevant work experience. Preferred Skills Deep understanding of machine learning, predictive analytics, business intelligence, and AI solution architectures. Experience with AWS and GCP analytics and AI services. Strong knowledge of data visualization, BI reporting, predictive modeling, and ML operations. Understanding of Generative AI, agentic AI, advanced analytics, and intelligent decisionsupport systems. Experience designing scalable cloud-native architectures for analytics and AI workloads. Strong communication, storytelling, and executive presentation skills. Ability to lead complex, multi-stakeholder sales cycles and transformation discussions. Strong analytical, estimation, and solution planning capabilities. The candidate should have PE/VC mentality. Bonus Points Proven track record in presales and solution architecture for analytics and AI transformation programs. Experience building reusable analytics accelerators, AI frameworks, and automation assets. Experience in value-based selling, business case development, and outcome-driven solutioning. Experience with Agile, DevOps, MLOps, and modern engineering operating models. Contributions to thought leadership, industry assets, reusable frameworks, patents, publications, or innovation programs.

TBD

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