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, Dev Ops, 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
📍 Mumbai