Data & AI Presales Solution Architect

Location: Noida / Chennai / Bangalore / Pune

Experience: 10+ years

Position Overview

We are looking for a dynamic and client-focused Data & AI Presales Solution Architect who brings deep presales expertise combined with strong solution design and delivery capability. This is a high-impact, customer-facing role responsible for driving revenue growth by crafting winning proposals, leading solution discussions, and architecting compelling Data & AI solutions for enterprise clients.

This role covers the full Data Management landscape including Data Governance, Master Data Management, Metadata Management, Data Cataloging, Data Quality, Data Privacy, and cloud-native Data & AI platforms on AWS, Microsoft Azure, and Google Cloud Platform.

Role Purpose

The Presales Solution Architect will be the primary technical and solution owner during the presales phase partnering closely with sales, practice, delivery, and technology alliances to win strategic Data & AI deals. Beyond presales, the role will also lead solution workshops, architecture engagements, and client advisory sessions to ensure successful deal shaping and delivery transition.

Key Responsibilities

Presales Ownership & Deal Pursuit

• Own and drive end-to-end presales solutioning for Data Management, Data Governance, MDM, Data Quality, Metadata, Data Privacy, and Data & AI opportunities.
• Engage proactively with clients from initial discovery through RFP response, solution presentation, orals defense, and deal closure.
• Analyze RFPs, RFIs, RFQs, and client briefs to develop fit-for-purpose, differentiated, and commercially compelling solution responses.
• Lead client discovery workshops, requirements sessions, maturity assessments, and solution walkthroughs to deeply understand client pain points and buying criteria.
• Build trusted relationships with client CDOs, data governance councils, technology leaders, and business stakeholders during the presales process.
• Drive pursuit strategy, win themes, and solution differentiation in collaboration with sales and practice leadership.

Solution Architecture & Design

• Architect enterprise Data Management solutions covering data governance, data quality, metadata management, MDM, data cataloging, data lineage, data classification, data privacy, and reference data management.
• Design target-state architectures, governance operating models, stewardship workflows, platform blueprints, and implementation roadmaps aligned to client objectives.
• Create proposal-ready architecture narratives, logical architecture diagrams, capability maps, technology stack recommendations, and data management maturity assessments.
• Develop solution estimation inputs including work breakdown structures, delivery phasing, team composition, assumptions, risks, and accelerator leverage.
• Design cloud-native data management architectures on Azure, AWS, and GCP using platform-native and third-party data management tools.

Client Solution & Advisory Engagements

• Lead solution architecture workshops, advisory engagements, proof-of-concept designs, and transformation roadmap sessions for strategic clients.
• Present solution architectures, operating models, and business cases to CxO and senior stakeholder audiences with confidence and clarity.

Reusable Assets & Practice Development

• Build and maintain a library of reusable proposal assets, solution frameworks, architecture patterns, and accelerators to improve presales efficiency.
• Contribute to practice-building initiatives including solution playbooks, capability offerings, case studies, and point of view documents.
• Familiarity with AI-augmented data management including LLMs, AI-assisted governance, intelligent metadata discovery, automated data classification, and GenAI-enabled glossary creation.
• Awareness of Responsible AI governance patterns and AI-ready data foundation requirements.

Required Qualifications

• MBA (Master of Business Administration) is mandatory candidates without an MBA will not be considered for this role.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field is required as the undergraduate foundation.
• Minimum 10 years of experience in Data Management, Data Governance, MDM, Data Quality, Metadata Management, or Data & AI technologies.
• At least 45 years in a dedicated presales, solution architecture, or consulting role with direct client-facing presales accountability.
• Demonstrated experience owning deal pursuits, driving RFP responses, and presenting solutions to senior client stakeholders.