Data & AI Presales Solution Architect

Location:

Bengaluru / Noida / Chennai

Position Overview

We are looking for a agile 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

- 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.

Core Competencies & Technical Expertise

Presales & Client Engagement

- Proven track record of owning end-to-end presales cycles for Data & AI, Data Management, or Analytics deals in a consulting or technology services environment.
- Experience responding to complex RFPs/RFIs/RFQs and leading proposal responses, solution presentations, and orals defense sessions.

Cloud & Platform Expertise

- Strong understanding of cloud-native data management services across:
- Azure: Microsoft Purview, Azure Data Lake, Azure Synapse, Azure Databricks, Microsoft Fabric, Azure Data Factory
- AWS: AWS Glue Data Catalog, AWS Lake Formation, Amazon S3, Amazon Redshift, AWS DMS, AWS governance and security services
- GCP: Dataplex, Data Catalog, BigQuery, Cloud Storage, Dataflow, Dataproc, GCP data governance patterns
- Experience with leading Data Governance, Catalog, Metadata, Quality, MDM, and Privacy platforms: Collibra, Alation, Microsoft Purview, Informatica EDC / Axon / IDQ / MDM, IBM InfoSphere / IBM IGC / IBM Guardium, Stibo Systems, Reltio, TIBCO

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.

📌 Presales Solutions Architect (Bengaluru)
🏢 HCLTech
📍 Bengaluru