Project Leader​/Manager - AI & Data;

Introduction

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria Data Max™, Axtria Insights IQ™, Axtria SalesIQ™, and Axtria Marketing IQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.

We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment.

A customized career progression plan ensures every Axtrian is set up for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

We are looking for a Project Lead / Manager for our AI & Data practice. Success in this position requires managing data solution projects (both consulting and delivery) based on Real World Data (RWD), Commercial Ops, Marketing, and Market Access data sets for reporting and analytical use cases.

Candidates will be expected to have extensive experience and deep understanding in the Life Sciences and Biopharma domain, across data sets and its usages such as:

• Hands‑on experience building GenAI /Agentic AI solutions including RAG pipelines, prompt engineering and agentic workflows using frameworks like Lang Chain or Lang Graph. Pharma use cases will be added bonus
• Syndicated commercial pharma datasets across Claims, Retail Sales, Non-retail Sales, Trade data, Specialty Pharmacy (SP/SD), Hub, Formulary, Co-pay, Prescriber-Plan data, EMR/EHR, Diagnostic data, Shipment, Inventory, Non-personal Promotion data, Speaker Programs, Email Campaigns, Digital Data (HCP Portal, Patient Portal, Brand websites, Third-party website), Conferences etc.
• Internal commercial pharma datasets across CRM (Activity, Call Plan etc.), Sales Ops (Roaster, Alignment, Incentive Compensation etc.), Forecast etc.
• Strong functional and domain understanding of internal and external commercial pharma datasets, how to integrate these data sets across internal and external sources and apply associated business and transformation rules and make them ready for downstream business insights and analytics applications.

• Leading global teams to deliver programs for Commercial Data Management and Analytics solutions for Life Sciences clients.
• Work with multiple small and medium biopharmaceuticals to deliver end-to-end data and analytics programs.
• Directly work with senior Client and Axtria stakeholders in a highly consultative and responsive manner, to deliver high-quality and high-impact data management solutions to business problems around analytical use cases.
• Support in developing data science competencies and resources for the customer by enabling access to big data sets (sourced within and outside the organization) using a combination of open source, cloud and other tools and techniques for data analytics, machine learning,…