IQVIA

AI Engagement Manager

IQVIA

full-time

Posted on:

Location Type: Remote

Location: North CarolinaUnited States

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Salary

💰 $109,500 - $273,800 per year

About the role

  • Serve as the primary day‑to‑day point of contact for client stakeholders on assigned engagements.
  • Manage client expectations, communication, and delivery cadence, escalating risks and decisions as needed.
  • Support engagement shaping activities, including contributing to proposals, workplans, and client presentations.
  • Help translate high‑level client objectives into clear scopes, milestones, and delivery plans.
  • Build trusted working relationships with client team members across clinical, data, and technology functions.
  • Lead the end‑to‑end execution of 1–2 AI‑enabled client engagements at a time, ensuring delivery against scope, timeline, and quality expectations.
  • Manage cross‑functional project teams including data scientists, engineers, clinicians, and analysts.
  • Coordinate day‑to‑day activities such as sprint planning, backlog prioritization, dependency management, and delivery tracking.
  • Oversee delivery of AI/ML solutions related to clinical development simulation, leveraging real‑world data (RWD), clinical trial data, and other structured and unstructured sources.
  • Work closely with technical leads to ensure AI solutions are scientifically sound, technically robust, and client‑ready.
  • Support development and application of IQVIA’s foundation AI simulation capabilities within client engagements.
  • Identify risks, issues, and trade‑offs early, and proactively drive resolution.
  • Contribute to the design and refinement of AI roadmaps, PoCs, ML pipelines, and deployment approaches within projects.
  • Help operationalize emerging AI capabilities into repeatable delivery patterns and client‑ready solutions.
  • Collaborate with third‑party technology partners and internal platform teams to support successful delivery.
  • Provide coaching and guidance to junior team members, supporting their professional development on projects.
  • Capture delivery learnings and feedback to help inform future offerings and engagement approaches.

Requirements

  • 3–5+ years of experience in Consulting, Analytics, AI, or Data Science–driven delivery roles.
  • Strong experience managing complex client projects, preferably in Life Sciences or healthcare.
  • Working knowledge of AI/ML concepts, including generative AI and foundation model–based approaches (deep research background not required).
  • Domain experience in Life Sciences (ideally Pharma R&D) or Clinical Development, Clinical Operations, Regulatory, Safety, Medical.
  • Proven ability to manage multiple workstreams, stakeholders, and delivery risks simultaneously.
  • Comfortable working directly with clients and coordinating diverse technical and domain teams.
  • Strong ownership mindset with a bias toward execution and problem solving.
Benefits
  • Competitive compensation and benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AIMLdata analysisproject managementsprint planningbacklog prioritizationdependency managementdelivery trackingclinical development simulationreal-world data
Soft Skills
client communicationstakeholder managementrelationship buildingproblem solvingteam leadershipcoachingrisk managementexecution mindsetcollaborationprofessional development