Senior Business Analyst (Pre Sales) (Noida)

Senior Pre-Sales Specialist Web, Mobile & AI/ML Solutions

Experience: 8+ Years

Employment Type: Full-Time

Location: Noida

Department: Sales / Pre-Sales / Solutions Consulting

Industry: IT Services / Software Development

About the Role

We are looking for an experienced Senior Pre-Sales Specialist with 8+ years of experience in IT services pre-sales, solution consulting, and technical business development.

The ideal candidate will have strong experience in Web & Mobile Application Development, AI/ML solutions, cloud technologies, and digital transformation. This role requires someone who can understand complex client requirements, translate business challenges into technology solutions, create compelling proposals, and work closely with sales and technology teams to win deals.

The candidate should be equally comfortable engaging with CXO-level stakeholders, business teams, and technical decision-makers and should be able to lead the complete pre-sales lifecycle from discovery to proposal, presentation, solutioning, and deal closure support.

Key Responsibilities

1. Client Discovery & Requirement Understanding

• Participate in client discovery calls, workshops, and requirement-gathering sessions.
• Understand client business objectives, pain points, technical requirements, and expected outcomes.
• Identify opportunities for Web, Mobile, Cloud, AI/ML, Automation, and Digital Transformation solutions.
• Convert business requirements into clear technical and functional solution requirements.
• Ask the right questions to identify scope, assumptions, dependencies, risks, and potential solution approaches.

2. Solution Consulting & Architecture

• Design high-level solutions aligned with client business and technical requirements.
• Collaborate with architects and engineering teams to define solution architecture, technology stacks, integrations, APIs, security considerations, and deployment models.
• Provide solution recommendations across:
• Web application development
• Mobile application development
• SaaS/Product engineering
• AI/ML solutions
• Generative AI & AI agents
• Data engineering & analytics
• Cloud & DevOps
• API & third-party integrations
• Legacy modernization

• Evaluate different technical approaches and communicate their business perks, limitations, cost, and feasibility.

3. Proposal & RFP/RFI Management

• Own and coordinate responses to RFPs, RFIs, RFQs, tenders, and client proposals.
• Create compelling technical and commercial proposals in collaboration with Sales, Delivery, Finance, and Technology teams.
• Define:
• Solution approach
• Scope of work
• Deliverables
• Technology stack
• Architecture overview
• Project methodology
• Resource requirements
• Project timelines
• Assumptions and dependencies
• Risks and mitigation
• High-level effort and estimation

• Ensure proposals are technically accurate, commercially viable, and aligned with client expectations.

4. Client Presentations & Solution Demonstrations

• Lead technical presentations, solution walkthroughs, capability presentations, and product demonstrations.
• Present complex technical concepts in a simple, business-oriented manner.
• Conduct solution workshops with client stakeholders.
• Support POCs and technical demonstrations where required.
• Handle technical objections and provide appropriate solution recommendations.

5. AI/ML & Emerging Technology Pre-Sales

• Identify opportunities where AI/ML, Generative AI, LLMs, RAG, AI Agents, NLP, Computer Vision, or intelligent automation can solve client problems.
• Work with AI/ML architects and engineering teams to define feasible AI solution approaches.
• Understand AI solution components such as:
• LLMs and Foundation Models
• RAG architectures
• Vector databases
• AI Agents / Agentic Workflows
• Prompt Engineering
• ML pipelines
• Computer Vision
• NLP
• Model integration and APIs
• Cloud AI services

• Translate AI capabilities into measurable business value and ROI for clients.

6. Estimation & Commercial Support

• Work with delivery and engineering teams to prepare high-level effort and cost estimates.
• Participate in pricing and commercial discussions with the Sales team.
• Identify opportunities for optimization while maintaining solution quality and margins.
• Support SOW, proposal, and commercial document preparation.

7. Sales & Business Development Support

• Work closely with Account Managers and Business Development teams throughout the sales cycle.
• Support opportunity qualification and technical discovery.
• Identify upselling and cross-selling opportunities within existing accounts.
• Help build solution narratives and differentiators that position the organization strongly against competitors.
• Participate in client negotiations and closure discussions from a technical perspective.

8. Internal Collaboration

• Collaborate closely with:
• Sales / Business Development
• Solution Architects
• Engineering Teams
• Project / Delivery Managers .