Presales 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

Graduate and PG will be preferred