Company Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Job Description

About the Role

The pharmaceutical Promotional & Medical Review (MLR) ecosystem is undergoing a significant transformation, driven by advances in AI, automation, and modular content workflows. Organizations are increasingly looking to reimagine their review processes to be faster, more scalable, and compliant by design.

We are seeking a client-facing Engagement Lead who will anchor discussions, drive thought leadership, and lead strategic engagements across the end-to-end MLR lifecycle — with a strong focus on technology-led transformation and AI-driven review automation.

This role sits at the intersection of:

• MLR domain expertise
• AI and technology understanding
• Client engagement and consulting leadership

The Role in One Sentence

Lead client-facing engagements in MLR transformation by combining deep domain expertise with a strong understanding of AI-driven review automation technologies, and translate strategic vision into actionable solutions.

Key Responsibilities

Client Engagement & Thought Leadership

• Lead client discussions, workshops, hackathons, and conferences focused on MLR transformation and AI adoption
• Act as a trusted advisor to pharma stakeholders across Medical, Regulatory, Legal, and Commercial functions
• Drive C-level and senior stakeholder conversations on the future of MLR, including automation, modular content, and AI-enabled workflows
• Represent the organization in industry forums and conferences, building external credibility and brand visibility

MLR Transformation Consulting

• Define and shape end-to-end MLR transformation roadmaps
• Conduct current-state assessments and identify gaps across people, process, and technology
• Design future-state operating models incorporating: pre-MLR automation, risk-based review pathways, modular content reuse, global-to-local adaptation frameworks
• Lead solutioning discussions for clients evaluating MLR technology adoption

Technology & AI Fluency

• Demonstrate strong conceptual and applied understanding of: AI/GenAI in content review workflows, RAG (retrieval-augmented systems) for claims and fact validation, agentic AI architectures for modular review automation, MLR technology stack (content review platforms, document systems, workflow tools)
• Translate complex technical concepts into clear, business-relevant narratives
• Work closely with engineering and product teams to: align solutions with client needs, validate technical feasibility, shape product evolution

Cross-Functional Leadership

• Serve as the bridge between domain SMEs, engineering teams, and client stakeholders
• Facilitate structured collaboration across: MLR reviewers, medical/regulatory SMEs, AI/engineering teams
• Lead solution demos, pilot programs, and proof-of-value initiatives

Go-To-Market (GTM) & Growth Enablement

• Support development of: proposals, pitch decks, and thought leadership content; value propositions for AI-enabled MLR transformation
• Identify new opportunities for technology-led services within existing and new accounts
• Contribute to market positioning of MLR technology offerings

Qualifications & Experience

✅ Must-Have — Domain + Consulting

• 6–10 years of experience in: MLR, regulatory review workflows, agency, or pharma content lifecycle
• Strong exposure to: global and local MLR models, promotional review processes, stakeholder engagement across Medical, Legal, Regulatory
• Proven ability to lead client discussions and workshops

✅ Must-Have — Technology Understanding

• Strong conceptual understanding of: AI / GenAI and enterprise use cases, RAG-based systems and knowledge-driven AI, agentic AI and workflow automation, document processing and content intelligence systems
• Ability to engage with engineering teams on: solution architecture, feasibility discussions, implementation trade-offs

Note: This is not a hands-on coding role — but requires deep technical literacy.

✅ Must-Have — Communication & Leadership

• Exceptional communication and storytelling skills
• Ability to simplify complex technical concepts for non-technical stakeholders
• Strong presence in: executive discussions, workshops, client presentations
• Experience leading or participating in client-facing consulting engagements

🌟 Good to Have

• Experience with: MLR platforms (e.g., Veeva PromoMats, Aprimo), modular content strategies, AI-driven content or review automation initiatives
• Prior involvement in: AI/GenAI transformation programs, digital transformation consulting
• Experience speaking at industry events / conferences

Working Style & What to Expect

• High-visibility, client-facing role with direct interaction with senior stakeholders
• Requires strong ownership and comfort with ambiguity
• Fast-paced environment with evolving technology landscape
• Deep collaboration with domain and engineering teams

"This role is for someone who can stand at the intersection of MLR expertise, AI technology, and client engagement — and confidently lead the conversation on what the future of MLR should look like."

Qualifications

AI - Data Science BE/ Btech/ BCA/ Mtech / MBA )

Additional Information

This is a new role for Tech Delivery.

CRG Comment: All available pool has been validated before hiring initiation. Team will continue to run match against external flagged demand, and will keep proposing internal pool as available. Marking this demand for hiring as there is no one available as matching profile internally