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Job Views:  
33
Applications:  16
Recruiter Actions:  2

Posted in

GenAI

Job Code

1738761

Role Overview:

Indegene is seeking a highly motivated and business-oriented Applied AI Consultant to drive AI-led transformation initiatives across service lines within the Enterprise Medical Services ecosystem.

This role sits at the intersection of business consulting, workflow transformation, Generative AI adoption, process automation, knowledge management, and value realization.

The successful candidate will partner with service line leaders, subject matter experts, AI architects, and transformation teams to identify high-value opportunities, redesign workflows, implement AI-enabled solutions, and deliver measurable business outcomes.

Responsibilities:

AI Opportunity Identification & Transformation Strategy:

- Partner with business leaders and operational SMEs to assess existing workflows, identify process inefficiencies, and uncover AI-driven transformation opportunities.

- Analyze workflow handoffs, effort drivers, rework cycles, operational bottlenecks, and value leakage points to identify areas for automation and optimization.

- Evaluate opportunities involving Generative AI, AI Agents, Copilots, Workflow Automation, Knowledge Graphs, and Intelligent Process Automation.

- Prioritize use cases based on business value, implementation feasibility, adoption readiness, operational complexity, and measurable impact potential.

AI Transformation Delivery & Implementation:

- Lead assigned AI transformation initiatives from discovery and assessment through pilot execution, enterprise adoption, and value realization.

- Create structured implementation plans covering workflow redesign, technology enablement, governance, stakeholder engagement, risk management, testing, and adoption strategies.

- Collaborate with AI Architects, Product Teams, and Engineering teams to define solution approaches, technical feasibility, integration requirements, prompt strategies, and platform dependencies.

Knowledge Graph & Knowledge Enablement:

- Identify and drive high-value Knowledge Graph opportunities across SOPs, business rules, domain content, playbooks, guidelines, and enterprise knowledge assets.

- Work with Knowledge Management teams to structure critical organizational knowledge, identify entities and relationships, and improve AI retrieval and reasoning capabilities.

Workflow Reengineering & Change Adoption:

- Redesign current-state workflows into scalable future-state operating models that leverage human-AI collaboration and intelligent automation.

- Define new process flows, review checkpoints, quality controls, governance mechanisms, exception pathways, and role responsibilities.

Value Realization & Performance Tracking:

- Maintain transformation dashboards, implementation trackers, adoption metrics, and performance reporting mechanisms.

- Measure outcomes including productivity gains, workflow acceleration, quality improvements, cost efficiencies, adoption rates, and business impact.

Stakeholder Management & Governance:

- Act as a trusted transformation advisor for assigned business units and service lines.

- Collaborate with Service Line Leaders, SMEs, AI Architects, Product Teams, Knowledge Management stakeholders, Analytics teams, and Executive sponsors.

Desired Profile:

- 5 - 8 years of experience in Business Transformation, Digital Transformation, AI Consulting, Process Excellence, PMO, Automation Programs, Operational Excellence, or Enterprise Change Initiatives.

- Proven experience identifying automation opportunities, redesigning workflows, building business cases, and leading implementation programs.

- Strong understanding of Generative AI, AI Agents, Copilots, Intelligent Automation, Workflow Automation Platforms, Knowledge Management, and Enterprise AI adoption frameworks.

- Prior experience in Healthcare, Life Sciences, Pharmaceutical Services, Medical Affairs, Medical Information, Publications, Regulatory Affairs, Pharmacovigilance, Medical Communications, or Commercial Operations will be a strong advantage.

- Bachelor's degree in Engineering, Technology, Business, Life Sciences, Healthcare Management, or a related discipline.

- MBA or equivalent postgraduate qualification preferred.

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Posted by

Job Views:  
33
Applications:  16
Recruiter Actions:  2

Posted in

GenAI

Job Code

1738761

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