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Engagement Lead - Tech Delivery

Job in Newton, Middlesex County, Massachusetts, 02458, USA
Listing for: Indegene Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Consultant
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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.

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 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 - Must be in Boston area

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:

  • 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
  • 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…
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