AVP- Life Sciences Analytics

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 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 working in or with global biopharma innovators.

Published or presented in conferences or forums on analytics, AI, or digital transformation in life

sciences.

Passionate about building high-performance teams and mentoring future leaders.

Entrepreneurial mindset with a bias for action and innovation.

Strong executive presence with excellent communication and stakeholder management skills.