Assistant Vice President - Life Sciences Analytics

Description:

- 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: Bachelors or Masters 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