Presales Solutions Architect

HCLTech; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

HCLTech is seeking a dynamic Data & AI Presales Solution Architect in Bengaluru to drive revenue by crafting winning proposals, leading solution discussions, and architecting Data Management and AI solutions for enterprise clients. The role covers governance, MDM, metadata, data quality, privacy, and cloud-native platforms on AWS, Azure, and GCP.

You will own end‑to‑end presales, run discovery workshops, respond to RFPs/RFIs/RFQs, and build architecture narratives, implementation roadmaps, and

Qualifications

• MBA is mandatory.
• Bachelor's degree in a technical field 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 client-facing accountability.

Responsibilities

• Own and drive end-to-end presales for Data Management, Data Governance, MDM, Data Quality, Metadata, Privacy, and Data & AI opportunities.
• Engage with clients from discovery through RFP/response, solution presentation, and deal closure.
• Lead workshops, requirements sessions, and architecture walkthroughs to understand client pain points and buying criteria.
• Build trusted relationships with client executives and data governance bodies during the presales process.
• Drive pursuit strategy, win themes, and solution differentiation in collaboration with sales and practice leadership.
• Design target-state architectures, governance models, and implementation roadmaps aligned to client objectives.
• Create proposal-ready architecture narratives, diagrams, and data management maturity assessments.
• Develop solution estimation inputs including WBS, delivery phasing, team composition, and risks.

Skills

Presales expertise

Solution architecture

Client engagement

RFP/RFI responses

Cloud data platforms

Education

MBA (mandatory)

Bachelor's degree in CS/Engineering/Data Science or related

Tools

Collibra

Alation

Microsoft Purview

Informatica EDC/Axon/IDQ/MDM

IBM InfoSphere/IGC/Guardium

Stibo Systems

Reltio

TIBCO

Job description

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

• 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.
• 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

• 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.
• Strong understanding of cloud-native data management services across:
• 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.