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 4–5 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.