Global Services, Presales

About the Role

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.

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, Alibaba.
• 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.

Requirements & Tech Stack

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.