KPMG—Presales Manager

Job description

Description: 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 Requirements: Graduate and PG will be preferred Responsibilities: As Above