Work Experience: 8 to 14 Years
Work location: Pune
Work Mode: Hybrid
Must Have Skills: AI/ML, Design AI Models, Analytics, Machine Learning, Healthcare/Pharma
Job Overview:
The Engagement Manager will take end-to-end accountability for the successful delivery of AI and analytics engagements in the healthcare domain. This role involves working closely with onshore and India-based teams to design and deliver AI-driven solutions that support sales, marketing, and operational decision-making for healthcare and pharma clients. The role also focuses on building organizational AI capabilities, fostering collaboration, and driving innovation.
Job Responsibility:
- Own end‑to‑end delivery and success of AI/ML healthcare projects, including planning, execution, and final recommendations.
- Design and apply generative AI, AI/ML models, and advanced analytics to solve complex healthcare problems.
- Build, lead, mentor, and scale high‑performing AI and analytics teams; foster continuous learning.
- Partner with senior leadership and onshore teams to develop AI capabilities and deliver client‑ready solutions.
- Drive innovation by leading AI workshops, leveraging internal AI solutions, and staying current on AI/ML and healthcare trends.
Technical/Required Skills:
- Deep expertise in Generative AI, Large Language Models (LLMs), and healthcare‑focused AI/ML modeling, including NLP and predictive analytics.
- Hands‑on experience building, deploying, and scaling AI solutions on cloud platforms such as AWS or Azure.
- Proven track record delivering AI‑driven healthcare or pharma analytics solutions with a strong foundation in advanced (non‑generative) analytics.
Good to have Skills/Experience:
- Experience in consulting or client-facing analytics roles.
- Exposure to business development activities such as proposal writing and RFP responses.
- Ability to act as a thought partner to clients and influence senior stakeholders.
- Strong leadership, communication, and cross-cultural collaboration skills.
Educational Qualification:
Bachelor's degree in any engineering discipline; specialization or strong exposure to Computer Science, AI/ML, or Healthcare Analytics preferred.
