Engagement Lead - Tech Delivery

INDEGENE LIMITED•New Jersey, NJ
•$150,000 - $180,000

About The Position

The Engagement Lead is a client-facing role focused on strategic engagements and technology-led transformation across the pharmaceutical Promotional & Medical Review (MLR) lifecycle. The role combines MLR domain expertise, understanding of AI and technology, and consulting leadership to help clients translate strategic vision into actionable solutions, especially in AI-driven review automation. The role leads client discussions and transformation consulting, shapes end-to-end MLR roadmaps, assesses current processes, and designs future-state operating models incorporating automation, risk-based review pathways, modular content reuse, and global-to-local adaptation. It also connects client stakeholders, domain experts, engineering teams, and product teams to shape feasible solutions, support pilots, and contribute to market growth and thought leadership. This is a high-visibility position with direct interaction with senior stakeholders. It requires ownership, comfort with ambiguity, and close collaboration with domain and engineering teams in a fast-paced environment with an evolving technology landscape. It is not a hands-on coding role, but requires deep technical literacy.

Requirements

  • 6–10 years of experience in MLR, regulatory review workflows, an agency, or the pharmaceutical content lifecycle.
  • Strong exposure to global and local MLR models, promotional review processes, and engagement with Medical, Legal, and Regulatory stakeholders.
  • Proven ability to lead client discussions and workshops.
  • Strong conceptual understanding of AI/GenAI and enterprise use cases, RAG-based systems and knowledge-driven AI, agentic AI and workflow automation, and document processing and content intelligence systems.
  • Ability to engage engineering teams in solution architecture, feasibility discussions, and implementation trade-offs.
  • Deep technical literacy; hands-on coding is not required.
  • Exceptional communication and storytelling skills.
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • Strong presence in executive discussions, workshops, and client presentations.
  • Experience leading or participating in client-facing consulting engagements.

Nice To Haves

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

Responsibilities

  • Lead client discussions, workshops, hackathons, and conferences focused on MLR transformation and AI adoption.
  • Advise pharmaceutical stakeholders across Medical, Regulatory, Legal, and Commercial functions.
  • Lead senior and C-level conversations about MLR automation, modular content, and AI-enabled workflows.
  • Represent the organization at industry forums and conferences to build external credibility and brand visibility.
  • Define and shape end-to-end MLR transformation roadmaps.
  • Assess current-state processes and identify gaps across people, process, and technology.
  • Design future-state operating models that incorporate pre-MLR automation, risk-based review pathways, modular content reuse, and global-to-local adaptation frameworks.
  • Lead solutioning discussions with clients evaluating MLR technology adoption.
  • Translate technical concepts into clear, business-relevant narratives.
  • Work with engineering and product teams to align solutions with client needs, validate technical feasibility, and shape product evolution.
  • Bridge domain subject-matter experts, engineering teams, and client stakeholders.
  • Facilitate collaboration among MLR reviewers, medical and regulatory SMEs, and AI and engineering teams.
  • Lead solution demonstrations, pilot programs, and proof-of-value initiatives.
  • Support proposals, pitch decks, thought leadership content, and value propositions for AI-enabled MLR transformation.
  • Identify opportunities for technology-led services in existing and new accounts.
  • Contribute to market positioning of MLR technology offerings.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life insurance
  • Disability insurance
  • 401(k) retirement plan
  • Seven sick leave days
  • Vacation paid time off
  • Paid holidays
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