Associate Manager – Applied AI
Job Details
Company: Indegene
Job Title: Associate Manager – Applied AI
Posting Start Date: October 9, 2026
Preferred Location: Bangalore, India
Experience: 5–8 years
Employment Type: Full-time
Domain: Healthcare / Life Sciences / Technology
Role Type: Applied AI Consulting / Business Transformation
Role Overview
The Associate Manager – Applied AI will drive AI-led transformation initiatives across service lines within the Enterprise Medical Services ecosystem.
The role sits at the intersection of:
Business consulting
Workflow transformation
Generative AI adoption
Process automation
Knowledge management
AI-enabled operating models
Value realization
The successful candidate will work closely with service line leaders, subject matter experts, AI architects, product teams, engineering teams, and transformation stakeholders to identify high-value AI opportunities, redesign business workflows, implement AI-enabled solutions, and deliver measurable business outcomes.
The ideal candidate combines consulting-oriented problem solving with strong execution capabilities and has a solid understanding of business operations, process optimization, automation, and AI-powered transformation.
Key Responsibilities
AI Opportunity Identification & Transformation Strategy
Partner with business leaders and operational SMEs to assess existing workflows.
Identify process inefficiencies and AI-driven transformation opportunities.
Analyze workflow handoffs, effort drivers, rework cycles, operational bottlenecks, and value leakage.
Identify processes suitable for automation and optimization.
Evaluate opportunities involving:
Generative AI
AI Agents
Copilots
Workflow Automation
Knowledge Graphs
Intelligent Process Automation
Prioritize AI use cases based on:
Business value
Implementation feasibility
Adoption readiness
Operational complexity
Measurable impact potential
Translate business priorities into actionable transformation roadmaps.
Develop implementation backlogs and AI adoption plans.
AI Transformation Delivery & Implementation
Lead assigned AI transformation initiatives from discovery through implementation and value realization.
Manage initiatives through:
Discovery
Assessment
Pilot execution
Enterprise adoption
Scale-up
Value realization
Create structured implementation plans covering:
Workflow redesign
Technology enablement
Governance
Stakeholder engagement
Risk management
Testing
Adoption
Collaborate with AI Architects, Product Teams, and Engineering Teams.
Define solution approaches and assess technical feasibility.
Identify integration requirements and platform dependencies.
Support prompt strategy development.
Work with business SMEs to validate:
Process workflows
Quality requirements
Exception scenarios
Human-in-the-loop controls
Ensure successful implementation and operationalization of AI-enabled solutions.
Maintain execution governance and stakeholder alignment.
Knowledge Graph & Knowledge Enablement
Identify high-value Knowledge Graph opportunities.
Evaluate enterprise knowledge sources such as:
SOPs
Business rules
Domain content
Playbooks
Guidelines
Enterprise knowledge assets
Work with Knowledge Management teams to structure organizational knowledge.
Identify relevant entities and relationships.
Improve AI retrieval and reasoning capabilities.
Support development of Knowledge Graph-driven AI use cases.
Improve contextual understanding, traceability, and decision support.
Track Knowledge Graph initiatives from discovery through implementation and adoption.
Measure business value generated by Knowledge Graph initiatives.
Workflow Reengineering & Change Adoption
Redesign current-state workflows into scalable future-state operating models.
Design workflows that effectively combine human expertise with AI capabilities.
Define:
Process flows
Review checkpoints
Quality controls
Governance mechanisms
Exception pathways
Role responsibilities
Support pilot deployments and proof-of-concept initiatives.
Support lighthouse programs and scale-up initiatives.
Drive user adoption through:
Training support
Change management
Documentation
Stakeholder engagement
Feedback mechanisms
Monitor adoption patterns.
Identify barriers affecting utilization, performance, and business outcomes.
Value Realization & Performance Tracking
Maintain transformation dashboards and implementation trackers.
Track adoption metrics and performance indicators.
Measure transformation outcomes, including:
Productivity improvements
Workflow acceleration
Quality improvements
Cost efficiencies
Adoption rates
Overall business impact
Partner with analytics and measurement teams to establish KPIs.
Establish performance baselines.
Develop benefits realization frameworks.
Build business cases and impact assessments.
Prepare executive reporting materials.
Develop transformation success stories supported by measurable evidence.
Capture lessons learned and implementation best practices.
Develop reusable transformation frameworks and playbooks.
Stakeholder Management & Governance
Act as a trusted transformation advisor for assigned business units and service lines.
Collaborate with:
Service Line Leaders
Subject Matter Experts
AI Architects
Product Teams
Knowledge Management Teams
Analytics Teams
Executive Sponsors
Identify and resolve implementation risks.
Address governance concerns and resource constraints.
Identify and resolve data challenges.
Remove decision bottlenecks.
Communicate project progress, risks, recommendations, and outcomes.
Present updates through governance forums, steering reviews, and leadership meetings.
Desired Experience
5–8 years of experience in one or more of the following:
Business Transformation
Digital Transformation
AI Consulting
Process Excellence
PMO
Automation Programs
Operational Excellence
Enterprise Change Initiatives
Proven experience identifying automation opportunities.
Experience redesigning business workflows.
Experience developing business cases.
Experience leading implementation and transformation programs.
Experience working with cross-functional stakeholders.
Experience driving AI or digital adoption initiatives.
AI and Technology Knowledge
Strong understanding of:
Generative AI
AI Agents
Copilots
Agentic workflows
Intelligent Automation
Workflow Automation Platforms
Knowledge Management
Knowledge Graphs
Enterprise AI adoption frameworks
AI-enabled process transformation
Business Transformation Skills
Process mapping
Business process analysis
Operating model design
Business process reengineering
Transformation governance
Program management
Automation opportunity assessment
Business case development
Change management
Value realization
KPI and performance measurement
Analytical and Problem-Solving Skills
Strong analytical thinking.
Structured problem-solving approach.
Ability to assess complex business processes.
Ability to identify opportunities for optimization and automation.
Ability to evaluate business value and implementation feasibility.
Data-driven decision-making.
Ability to develop measurable transformation outcomes.
Communication and Stakeholder Skills
Excellent communication skills.
Strong facilitation capabilities.
Strong stakeholder management skills.
Executive-level presentation skills.
Ability to communicate complex AI concepts to business stakeholders.
Ability to influence cross-functional teams.
Ability to manage competing priorities and stakeholder expectations.
Healthcare and Life Sciences Experience
Experience in the following domains is considered a strong advantage:
Healthcare
Life Sciences
Pharmaceutical Services
Medical Affairs
Medical Information
Medical Publications
Regulatory Affairs
Pharmacovigilance
Medical Communications
Commercial Operations
Domain knowledge can help the candidate understand healthcare workflows and identify practical AI transformation opportunities across medical and life sciences functions.
Educational Qualification
Bachelor’s degree in:
Engineering
Technology
Business
Life Sciences
Healthcare Management
Related discipline
MBA or equivalent postgraduate qualification is preferred.
Key Competencies
Applied AI Consulting
AI Transformation & Adoption
Workflow Automation & Optimization
Business Process Reengineering
Knowledge Graph Enablement
Generative AI
Agentic Workflows
AI Agents
Change Management
User Adoption
Value Realization
KPI Tracking
Business Analysis
Problem Solving
Stakeholder Management
Executive Management
Program Governance
Program Delivery
Life Sciences Domain Expertise
Key Deliverables
The role is expected to contribute to or lead:
AI opportunity assessments
AI transformation roadmaps
Automation business cases
Workflow redesigns
AI implementation plans
Pilot and proof-of-concept programs
Enterprise AI adoption initiatives
Knowledge Graph initiatives
Change management activities
Transformation dashboards
KPI frameworks
Benefits realization reports
Executive presentations
Transformation playbooks
Process improvement frameworks
Ideal Candidate Profile
The ideal candidate is a business-oriented transformation professional who understands both AI capabilities and business processes.
The candidate should be able to identify where AI can create measurable value, translate business problems into AI-enabled solutions, work with technical teams to implement those solutions, and drive adoption among business users.
Healthcare or Life Sciences experience—particularly in areas such as Medical Affairs, Medical Information, Publications, Regulatory Affairs, Pharmacovigilance, or Medical Communications—would provide a strong advantage.
About Indegene
Indegene is a technology-led healthcare solutions provider focused on helping healthcare organizations become future-ready. The company operates at the intersection of healthcare, technology, innovation, and digital transformation.
The organization emphasizes entrepreneurship, innovation, collaboration, empathy, customer obsession, and accelerated career growth.
Equal Opportunity
Indegene is committed to inclusion and diversity and provides equal employment opportunities. Employment decisions are based on business requirements, candidate merit, and qualifications without discrimination based on legally protected characteristics.
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