Senior Manager – AI & Data Delivery, Life Sciences

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 setup 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 delivery-focused Senior Manager - AI & Data Delivery, Life Sciences to own the end-to-end delivery of AI and data solutions for pharmaceutical clients. You'll work closely with commercial business and technical stakeholders, Data and AI Architects, and Engineers, guiding solutions through the full development lifecycle, from planning through deployment.

This is a delivery ownership role built on strong project management, cross-functional coordination, and clear, consistent communication of timelines, quality, and stakeholder outcomes.

• Own end-to-end delivery of AI and data solutions, ensuring quality, timelines, and client satisfaction.
• Coordinate across data, engineering, and business teams to keep delivery on track.
• Work with pharma commercial domains and its datasets and use SQL, Python, and BI tools (Tableau, Thought Spot) to review outputs and validate results.
• Communicate progress, risks, and outcomes clearly to stakeholders and clients.

• Strong project management and organizational skills, with the ability to own delivery timelines.
• Good stakeholder communication and cross-functional coordination skills.
• Proficiency in SQL and Python, with BI tools such as Tableau or Thought Spot.
• Strong understanding of pharmaceutical commercial domains and its datasets.

• Understanding data and AI development lifecycle (Data Modeling, pipeline development, prompt and context engineering, evaluation, validation) and a strong willingness to learn cloud/data platforms.
• Bachelor's degree in Life Sciences, Computer Science, Information Systems, Engineering, or a related field

• 6-8+ years of experience in delivery management, project management, and data/BI roles.
• Experience with in pharma or life sciences and managing cross-functional or client-facing delivery.

• Open to candidates based in, or willing to work from, the Raleigh, NC area (hybrid).
• Must be authorized to work in the United States.

Salary range or hourly pay range for the position

The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.