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Presales Manager

KPMG Global Services (KGS) · Consulting & Professional Services

  • Bangalore, Karnataka, India
  • On-site
  • Posted yesterday
  • Sales & Business Development

About the job

Job Description: Cloud & Data/AI Presales Specialist – KPMG Global Services

The Presales Cloud & Data/AI Specialist will work directly with pursuit teams to develop compelling, differentiated, and brand-compliant proposals, while supporting the growth of both Cloud and Data & AI capabilities across engagements.

Work you’ll do:

As a Presales Cloud & Data/AI Specialist , you will collaborate closely with the KPMG UK Sales and Consulting teams, supporting pursuit opportunities across Cloud as well as Data & AI service lines. The role focuses on enhancing the quality, efficiency, and effectiveness of presales deliverables while strengthening capability assets.

Key Responsibilities:

Proposal Development & Pursuits

Support proposal development, RFx responses, and other pursuit activities across Cloud and Data & AI domains
Collaborate with cross-functional teams to assess existing collateral and develop high-quality proposal drafts
Create compelling, client-centric narratives aligned to business outcomes and transformation journeys

Cloud, Data & AI Solutioning

Demonstrate strong knowledge across: - Cloud Platforms: Azure, AWS, GCP, Oracle, VMware
Data & AI Areas: Data Strategy, Data Transformation, Data Engineering, Data Modernization, Advanced Analytics, AI & ML, and Agentic AI
Support solutioning across: - Cloud Strategy, Migration, Cloud Native, APIs & Integrations
Enterprise Data Strategy and Governance frameworks
Modern Data Platforms (Lakehouse, Data Fabric, Data Mesh)
AI Strategy, Responsible AI, and AI at Scale implementations
Contribute to RFx solutioning for: - Cloud Architecture, DevOps, Automation, Networking, Landing Zones
Data Engineering pipelines, data migration, and modernization programs
AI/ML use cases, GenAI solutions, and Agentic AI frameworks

Business Case & Thought Leadership

Develop content for: - Cloud and Data & AI business cases (ROI, TCO, cost optimization)
Enterprise-wide transformation strategies (Cloud + Data + AI)
Migration and modernization roadmaps
Build point-of-view (PoVs) on: - Cloud-first and AI-first enterprises
Data-driven transformation and intelligent automation
End-to-end AI-enabled and integrated digital ecosystems

Content & Knowledge Management

Research internal/external sources and consolidate reusable content across Cloud and Data & AI offerings
Maintain and enhance knowledge repositories including: - Practitioner profiles, credentials, case studies, and solution accelerators
Continuously improve sales collateral across industries and practices

Governance & Coordination

Manage RFx lifecycle activities: - Develop response trackers, templates, and collaboration workspaces
Coordinate with stakeholders to track progress against milestones
Ensure content quality, compliance, and alignment with RFP requirements

Transformation & Advisory Capabilities

Strong understanding of: - Cloud & Data transformation strategies
IT and Digital transformation
Cloud suitability, readiness, and discovery assessments
Data platform modernization and legacy transformation
Experience in: - Costing, pricing, and commercial modeling for Cloud and Data/AI programs

Collaboration & Stakeholder Management

Work collaboratively in an onshore-offshore delivery model with architects, consultants, and SMEs
Build strong relationships with stakeholders across sales, consulting, and leadership teams
Proactively identify opportunities to enhance integration and efficiency across teams

Operational Excellence

Manage multiple concurrent pursuits with competing priorities and tight deadlines
Drive continuous improvement based on feedback and insights
Ensure content accuracy, relevance, and alignment with latest market trends

Required Skills & Experience:

Proven experience in Cloud and/or Data & AI presales, solutioning, and proposal development
Strong expertise in: - Cloud Architecture, Migration, and Modernization
Data Strategy, Data Engineering, and Data Platform Modernization
AI/ML, GenAI, and emerging paradigms like Agentic AI
Good understanding of: - Application modernization and portfolio assessment
Enterprise architecture and integration patterns
Strong business acumen (financials, margins, profitability)
Excellent communication and stakeholder management skills
Proficiency in MS Office tools
Self-driven, proactive, and adaptable mindset with ability to work independently

Good to Have:

Experience in: - End-to-end Cloud + Data + AI transformation programs
Migration tools, data platforms (Snowflake, Databricks, etc.)
AI/GenAI solution frameworks and enterprise-scale deployments

As Above

Graduate and PG will be preferred