Job Description & How to Apply Below
We are a technology-led healthcare solutions provider driven by our purpose to make healthcare organizations future-ready. We empower entrepreneurial talent to shape next-generation products, platforms, and services at the intersection of life sciences and technology.
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Role Overview
The Consultant – Business Solutions will ideate, structure, and scale AI-driven Commercial IT, CRM, and Data & Analytics solutions within the life sciences ecosystem, supporting both pre-sales and delivery engagements.
The role operates at the intersection of strategy consulting, solution architecture, and execution. You will apply hypothesis-driven problem solving to ambiguous client problems and convert them into structured solution approaches, Platform aligned architectures, compelling consulting-grade proposal narratives, executive ready decks and business cases and validate feasibility with platform/engineering teams, and support pilot deployments and scaled rollouts.
The role requires close collaboration with platform, engineering, UX, and domain teams to validate feasibility and ensure alignment between what is proposed and what can be delivered, while also supporting pilot deployments and scaled rollouts across brands, therapeutic areas, and geographies.
In addition to solution design and execution, the Consultant will anchor solutioning for RFPs, proposals, client workshops, bid defense, and consulting assignments, helping shape Indegene’s point of view, differentiation, and win themes in high-stakes client situations
This role combines:
Strategic thinking & solution architecture
Pre-sales and RFP solutioning ownership
Consulting-style storytelling & win narratives
Life sciences domain fluency (commercial + patient + medical)
CRM, data platforms & AI solution understanding
Execution discipline from proposal → pilot → scale
Key Responsibilities
1) Hypothesis-Driven Business-Oriented Problem Solving and Strategic Conceptualization/Opportunity Shaping
Apply a hypothesis-based approach to structure complex life sciences commercial, CRM, data, and omnichannel problems.
Translate ambiguous client questions into clear problem statements, assumptions, hypotheses, and decision paths.
Frame opportunities across commercial IT, field force effectiveness, omnichannel engagement, patient services, analytics, and AI.
Develop solution concepts grounded in business value, feasibility, and scalability.
2) Consulting Narratives, Storylines & Playbooks
Create consulting-grade storylines, high impact decks, narrative and frameworks for leadership, pre-sales, and client discussions.
Build templated and reusable outputs including:
Solution frameworks
Target-state operating models
CRM & data architecture narratives
KPI trees and value realization models
Translate complex technical architectures into simple, decision-oriented executive narratives.
Problem → Solution Approach → Technology → Data model → KPIs → Adoption journey.
Work with UX & product teams to convert concepts into wireframes, flows, user journeys, and design artifacts.
3) Pre-Sales, RFP & Client Consulting Support
Act as a core solutioning partner for RFPs, RFIs, and proactive consulting pursuits.
Own or contribute to solution sections including:
Client context & problem framing
Hypotheses and solution options
CRM, data, and AI platform approach
Roadmap (MVP → scale), assumptions, risks, and dependencies
Support client workshops, solution walkthroughs, and bid defense, articulating recommendations clearly and confidently.
Ensure alignment between what is proposed and what can be delivered.
4) Workstream Ownership & Stakeholder Management
Independently manage solutioning or consulting work streams with moderate oversight.
Balance multiple parallel initiatives (pre-sales, consulting, pilots) while maintaining output quality.
Partner with sales, domain SMEs, UX, data, architecture, and engineering teams.
Provide thought partnership on complex or ambiguous problem areas.
5) MVP / POC Execution & Feedback Loops
Support rapid prototyping, POCs, and MVP builds with cross-functional teams
Define success metrics, adoption criteria, and feedback mechanisms
Consolidate feedback loops…
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