Senior Pre-Sales Consultant (Data, AI & Cloud Services)

Role Overview

Key ResponsibilitiesCustomer Engagement & Solutioning

• Lead customer discovery sessions to understand business objectives, data maturity, and technical environments
• Design integrated solutions spanning data platforms, AI/ML applications, and cloudinfrastructure
• Develop and present solution architectures, approach documents, and detailed proposals
• Build customer confidence through clear articulation of technology options, trade-offs, and implementation pathways

Pre-Sales & Proposal Leadership

• Collaborate with sales teams to craft compelling proposals and responses to RFPs/RFIs
• Create reusable solution assets, pitch decks, and cost models across Data, AI, and Cloud domains
• Work with delivery leads to estimate effort, define scope, and validate feasibility before submission
• Support pipeline opportunities through technical validation and customer presentations.

Delivery Oversight

• Provide solution handover and early-phase support to ensure delivery alignment withproposed architecture
• Participate in design reviews, quality assurance, and governance during project initiation
• Capture learnings from implementations to refine pre-sales templates and improve future proposals

Required Skills and ExperienceCore Expertise

• Strong experience designing and delivering data engineering, analytics, and AI/MLsolutions
• Proficiency in one or more major cloud platforms (AWS, Azure, or GCP)
• Deep understanding of data modernization, migration, lakehouse architectures, modeldeployment, and MLOps
• Familiarity with enterprise solutioning, cost optimization, and security design principles.

Pre-Sales Competencies

• Proven experience leading solution proposals and client presentations
• Ability to create architecture diagrams, solution documents, and delivery models
• Strong storytelling and consulting ability to connect technology with business outcomes.

Soft Skills

• Excellent communication and presentation skills
• Strong problem-solving and analytical thinking
• Collaborative mindset with the ability to work across sales, delivery, and leadership teams.

Preferred Background

• Experience working with consulting firms, global system integrators, or productengineering organizations
• Exposure to GenAI or AI-driven data solutions is an advantage
• Certifications in cloud platforms or data/AI technologies preferred.