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. Robust 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. 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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