Role Summary
The Pre-Sales Consultant is the technical and strategic bridge between the customer, sales, delivery, and technology teams. This individual leads discovery and opportunity qualification, designs modern data and AI solution architectures, builds compelling proposals and business cases, and presents confidently to CxO-level stakeholders. The role blends deep technical fluency across cloud data platforms with solid business consulting skills, directly influencing the practice's win rate, deal size, and market credibility across industries including Banking & Financial Services, Insurance, Healthcare, Pharma, Retail, Manufacturing, Telecommunications, Energy, and Public Sector.

Key Responsibilities
1. Opportunity Qualification & Discovery
Run structured discovery sessions to uncover business pain points versus technical symptoms
Identify and engage the right stakeholders (business, IT, data, compliance, executive sponsors)
Define measurable business outcomes and qualify opportunities using consistent criteria (budget, authority, need, timeline, strategic fit)

2. Solution Design
Architect end-to-end data and AI solutions spanning ingestion, platform, governance, quality, MDM, analytics, AI/ML, security, integration, monitoring, and scalability
Evaluate and recommend technology options with clear trade-off, risk, and assumption analysis
Produce architecture diagrams and technical documentation for both technical and executive audiences

3. Industry & Domain Expertise
Maintain deep knowledge of business challenges, data problems, use cases, and KPIs across priority industries
Translate industry trends and regulatory context into differentiated, credible solution narratives

4. Proposal & Executive Communication
Develop RFP responses and proposals covering scope, deliverables, timeline, team, risks,



and commercial model
Deliver executive-ready presentations articulating ROI, risk of inaction, and differentiation without excessive jargon

5. Proof of Concept (PoC) Leadership
Design and run time-boxed PoCs with clear objectives, scope, success criteria, and demonstration plans
Coordinate with delivery teams to ensure PoC outcomes convert into signed engagements

6. Sales Enablement & Practice Development
Build reusable assets: industry playbooks, architecture blueprints, proposal templates, ROI calculators, demo environments, and battle cards
Contribute to practice growth: new service offerings, strategic partnerships, IP/data products, and go-to-market strategy

Required Qualifications
8+ years in data/analytics/AI consulting, pre-sales, or solution architecture roles
Proven experience designing cloud data platform solutions (Azure, AWS, GCP, Snowflake, Databricks, or Microsoft Fabric)
Track record of supporting or winning competitive, multi-million-dollar data/AI deals
Experience across at least 2–3 industries from the priority list above
Strong executive presence and the ability to translate technical concepts for CxO audiences

Technical Skills
Data architecture: ingestion, lakehouse/warehouse design, governance, MDM, data quality
Analytics & AI/ML: BI tools, predictive/prescriptive analytics, GenAI application design
Security & compliance: data privacy, regulatory frameworks relevant to target industries
Cloud platforms: hands-on familiarity with at least one hyperscaler and one modern data platform

Consulting & Soft Skills
Executive storytelling and value-based selling
Stakeholder management across conflicting priorities
Structured problem-solving and business-case development
Collaboration with sales, delivery, and technology partners under deal pressure

📌 The Pre-Sales Consultant is the technical and strategic bridge (Bengaluru)
🏢 Knack Consulting
📍 Bengaluru