Cloud and Data/AI Presales Specialist

Manager 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 Experience Level Mid Level