AI Engagement Manager
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Job Description
AI Engagement Manager leading AI projects in Clinical Development Optimization at IQVIA. Managing client engagements and ensuring delivery of AI‑enabled solutions in Life Sciences R&D.
Responsibilities:
- 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
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