AVP – Life Sciences & Healthcare Analytics

Location: Bengaluru

Ready to build the future with AI?
At  Genpact , we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at  and on Linked In, X, You Tube, and Facebook.

Inviting applications for the role of AVP – Life Sciences & Healthcare Analytics
In this role, We are seeking a dynamic and visionary AVP– Life Sciences Analytics to lead a marquee engagement with a global innovator biopharma client. This leadership role combines strategic delivery oversight, client engagement, innovation incubation, and account growth. The ideal candidate will bring deep expertise in commercial analytics, a passion for innovation, and a proven track record of applying AI and new-age technologies to solve complex business problems.
You will be responsible for building and managing a high-performing team across India and the US, delivering cutting-edge analytics and AI solutions, and acting as a thought leader to shape and elevate our client partnership.

Responsibilities
Client Engagement & Strategic Leadership
Serve as the primary point of contact for a global innovator client on analytics and AI initiatives.
Partner with senior stakeholders (VPs, Heads of Commercial, Digital, AI/ML leads) to understand priorities and define solution roadmaps.
Act as a trusted advisor and thought leader in commercial life sciences analytics, influencing client strategy.
Team Management & Delivery Oversight
Lead and mentor a multi-disciplinary team spread across India and the US (data
science, data engineering, domain SMEs).
Drive flawless execution of deliverables, ensuring high-quality, timely, and impactful outcomes.
Foster a culture of ownership, continuous learning, and innovation within the team.
Innovation & Solution Development
Incubate and scale next-gen solutions using GenAI, NLP, predictive modeling, graph
analytics, and cloud-native platforms (e.g., Snowflake, Databricks, Azure/AWS).
Promote agile experimentation and adoption of cutting-edge tools and techniques.
Translate emerging technologies into scalable business value for the client.
Growth & Account Expansion
Identify whitespace opportunities and collaborate with the sales team to grow the account.
Co-create proposals and POVs showcasing analytics-led value for new business use cases.
Expand footprint into adjacent areas like RWE, patient analytics, omnichannel, or AI powered operations.

Qualifications we seek in you!

Minimum Qualifications
Bachelor’s or Master’s degree in Engineering, Life Sciences, Statistics, Data Science, or
related fields; MBA or PhD is a plus.

Preferred Qualifications / Skills
Relevant years of experience in Healthcare, Medtech, Life Sciences analytics, with
significant exposure to US and global commercial functions.
Proven experience leading large-scale, high-impact analytics and AI programs for
innovator clients.
Strong expertise in commercial analytics areas such as forecasting, brand performance, HCP segmentation, patient analytics, omnichannel, etc.
Experience working across geographies with distributed teams.
Demonstrated ability to drive innovation using modern technologies (AI/ML, GenAI, cloud, NLP, etc.)
Hands-on understanding of analytics platforms, data infrastructure, and MLOps is a plus.
Experience…