What are the responsibilities and job description for the AI Engagement Manager (Remote) position at IQVIA?
Join a Ground-Breaking AI Initiative at IQVIA! IQVIA is assembling a world-class team to create large-scale AI solutions, leveraging cutting-edge machine learning architectures. Our mission is to integrate data across clinical, real-world, and biomedical sources, unlocking new insights into patient trajectories and transforming how we understand and anticipate health outcomes.
About The Role
We are seeking an AI Engagement Manager to lead the day‑to‑day delivery and execution of cutting‑edge AI projects in the Life Sciences R&D space, with a focus on Clinical Development Optimization. In this role, you will be responsible for managing one or more client engagements, translating strategic objectives into actionable plans, and ensuring high‑quality delivery of AI‑enabled solutions. This is a hands‑on, client‑facing role for someone who enjoys operating at the intersection of project leadership, applied AI, and life sciences domain expertise. You will work closely with senior stakeholders, owning the operational management of engagements while contributing to solution design, client communication, and delivery excellence.
Key Responsibilities
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $109,500.00 - $273,800.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
About The Role
We are seeking an AI Engagement Manager to lead the day‑to‑day delivery and execution of cutting‑edge AI projects in the Life Sciences R&D space, with a focus on Clinical Development Optimization. In this role, you will be responsible for managing one or more client engagements, translating strategic objectives into actionable plans, and ensuring high‑quality delivery of AI‑enabled solutions. This is a hands‑on, client‑facing role for someone who enjoys operating at the intersection of project leadership, applied AI, and life sciences domain expertise. You will work closely with senior stakeholders, owning the 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, 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.
- 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.
- 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, Databricks, or foundation model tools.
- 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’re comfortable working with evolving AI capabilities and delivery models.
- Impact‑oriented: You care about improving how clinical development is done.
- 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.
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $109,500.00 - $273,800.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
Salary : $109,500 - $273,800