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 decision

support systems.

Experience designing scalable cloud-native architectures for analytics and AI workloads.

Robust 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.

📌 RIS AI Insight Accelerator Solutions Architect Sr Manager (Mumbai)
🏢 Accenture in India
📍 Mumbai