Engagement Lead - Tech Delivery

INDEGENE LIMITED•New Jersey, NJ

12d

About The Position

The Engagement Lead will anchor client discussions, drive thought leadership, and lead strategic engagements across the end-to-end pharmaceutical Promotional & Medical Review (MLR) lifecycle, with a strong focus on technology-led transformation and AI-driven review automation. The role combines MLR domain expertise, AI and technology understanding, and client engagement and consulting leadership to translate strategic vision into actionable solutions. The position involves advising pharmaceutical stakeholders and shaping MLR transformation roadmaps, operating models, and technology solutions. The Engagement Lead works closely with clients, domain specialists, engineering teams, and product teams to assess current processes, develop future-state approaches, and lead solution demonstrations, pilots, and proof-of-value initiatives. The role also supports proposals, thought leadership, value propositions, opportunity development, and market positioning for MLR technology offerings. This is a high-visibility, client-facing role involving 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. The position 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 stakeholder engagement across Medical, Legal, and Regulatory functions.
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 with engineering teams on solution architecture, feasibility discussions, and implementation trade-offs.
Exceptional communication and storytelling skills.
Ability to simplify complex technical concepts for non-technical stakeholders.
Strong presence in executive discussions, workshops, and client presentations.
Experience leading or participating in client-facing consulting engagements.
Deep technical literacy; this is not a hands-on coding role.
The qualifications section lists AI/Data Science and BE/BTech/BCA/MTech/MBA.

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.
Drive C-level and senior stakeholder conversations about the future of MLR, including 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.
Conduct current-state assessments 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 complex 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 structured collaboration across MLR reviewers, medical and regulatory SMEs, and AI and engineering teams.
Lead solution demonstrations, pilot programs, and proof-of-value initiatives.
Support the development of proposals, pitch decks, thought leadership content, and value propositions for AI-enabled MLR transformation.
Identify opportunities for technology-led services within existing and new accounts.
Contribute to market positioning of MLR technology offerings.