AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development
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AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development
Join a Ground-Breaking AI Initiative at IQVIA
IQVIA is assembling a world-class team to create large-scale AI solutions,leveragingcutting-edgemachine learning architectures. Our mission is to integrate data across clinical, real-world, and biomedical sources,unlockingnew insights into patienttrajectoriesandtransforminghow we understand andanticipatehealth outcomes.
About the Role
We are seeking aManager / Engagement Managerto lead the day‑to‑day delivery and execution of cutting‑edge AI projects in the Life Sciences R&D space, with a core focus on Clinical Development Optimization.
In this role, you willbe responsible formanaging one or more client engagements, translating strategicobjectivesinto actionable plans, and ensuring high‑quality delivery of AI‑enabled solutions.
This is ahands‑on, client‑facing role for someone who enjoysoperatingat the intersection of project leadership, applied AI and life sciences domainexpertise. You will work closely with senior stakeholders,owningthe operational management of engagements while contributing to solution design, client communication, and delivery excellence.
Key Responsibilities
Client Engagement & Day‑to‑Day Leadership
• Serve as the primary day‑to‑day point of contact for client stakeholders on assigned engagements.
• Manage client expectations, communication, anddeliverycadence, escalating risks and decisions as needed.
• Support engagement shaping activities, including contributing to proposals, workplans, and client presentations.
• Help translate high‑level clientobjectivesinto clear scopes, milestones, and delivery plans.
• Build trusted working relationships with client team members across clinical, data, and technology functions.
Project Management & Delivery Execution
• 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,leveragingreal‑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.
• Identifyrisks, issues, and trade‑offs early and proactively drive resolution.
Solution & Capability Contribution
• 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.
• Capturedelivery learningsand feedback to help inform future offerings and engagement approaches.
Ideal Candidate Profile
Must‑Haves
• 3–5+ years of experience in Consulting, 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 notrequired).
• Domain experience in Life Sciences, ideally Pharma R&D, Clinical Trials, or Clinical Operations.
• 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.
Nice‑to‑Haves
• Prior experience at a top-tier consulting firm or in a client‑facing delivery role.
• Exposure to clinical trial data, real‑world evidence (RWE), or trial optimization use cases.
• Familiarity with regulatory and data governance considerations in clinical data environments.
• Experience working with cloud or AI platforms such as AWS, Azure ML, Databricksor foundation model tools.
WhatWe’reLooking For
• Strong engagement operator: You keep complex projects moving forward.
• Structured thinker: You can break ambiguous problems into executable plans.
• Collaborative leader: You bring teams together across disciplines.
• Curious and adaptable:You’recomfortable working with evolving AI capabilities and delivery models.
• Impact‑oriented: You care about improving how clinical development is done.
What We Offer
• The opportunity to work at the front line of AI‑driven transformation in life sciences.
• Ownership of meaningful client engagements with real clinical impact.
• Clear growth path toward Associate Principal and beyond.
• Exposure to next‑generation foundation AI capabilities.
• A collaborative, mission‑driven team environment with strong mentorship.
• Competitive compensation and benefits.