Engagement Lead -Tech Delivery

Indegene; United States; Sur place; USD 150 000 - 180 000; Plein temps

Avantages offerts par ce poste

Medical benefits

Dental benefits

Vision benefits

401(k) retirement plan

Paid holidays

Résumé du poste

Indegene seeks an Engagement Lead to drive client-facing engagements in MLR transformation, focusing on AI-powered review automation and modular content workflows. You will anchor discussions with pharma stakeholders, lead workshops, and shape end-to-end transformation roadmaps.

The role requires deep domain expertise, strong communication, and the ability to translate technical concepts into strategic business value.

Qualifications

• 6–10 years in MLR/regulatory review workflows or pharma content lifecycle.
• Strong exposure to global/local MLR models and stakeholder engagement across Medical, Legal, Regulatory.

Responsabilités

• Lead client discussions, workshops, and conferences on MLR transformation and AI adoption.
• Define end-to-end MLR transformation roadmaps and assess current-state gaps.
• Design future-state operating models with automation and modular content reuse.
• Lead solution demos, pilots, and proof-of-value initiatives.
• Translate complex AI concepts into clear business narratives for stakeholders.
• Collaborate with engineering and product teams to ensure feasibility and guide evolution.

Connaissances

AI/GenAI

RAG systems

Client engagement

Solution architecture

Executive communication

Outils

Veeva PromoMats

Aprimo

Description du poste

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 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
• 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."

Compensation & Benefits Transparency Statement

Base Salary Range: $150k-$180k

The compensation range displayed reflects the full span of pay across all of our U.S. geographic pay areas and experience levels. Your actual base salary offer will be determined based on multiple factors, including:

• Geographic Pay Area (US 1 through US 5, reflecting cost‑of‑labor differences)
• Experience & Qualifications relevant to the role
• Internal Equity alignment with employees in similar roles and levels

What This Means for You

• The minimum of the posted range represents the starting point for candidates in the lowest cost‑of‑labor pay areas (US 5).
• The maximum of the posted range represents the upper threshold for candidates in the highest cost‑of‑labor pay areas (US 1 / US 2).
• Candidates are aligned to pay areas based on their primary work location.

For Current Employees

Posted salary ranges reflect the full compensation band across all U.S. pay areas and experience levels. Your individual compensation is based on your specific pay area, hire date, performance trajectory, and internal equity. Differences between your current salary and the posted range are not indicative of a pay discrepancy. Please contact HR with any questions.

Benefits Overview

This role is eligible for a comprehensive benefits package, including medical, dental, and vision coverage; life and disability insurance; a 401(k)-retirement plan; seven (7) sick leave days, vacation paid time off and paid holidays; all in accordance with Company plans. Specific benefits are governed by applicable plan documents.

Indegene is committed to pay equity and transparency. We regularly benchmark our compensation against market data to ensure competitive and fair pay practices across all locations.