Senior Manager

Context Layer (Techno-Functional) SpecialistAxtria 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 DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - 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?About the RoleWe are looking for a Context Layer (Techno-Functional) specialist to help bridge pharmaceutical business needs with data and AI solutions. You'll work with commercial pharma data such as Sales, Field Activity, and Market Access and leverage knowledge of CAR-T ecosystem to help shape data and AI solutions built on Databricks Genie and AWS. This role is a great fit for someone who enjoys bridging business and technology.Key ResponsibilitiesPartner with commercial business teams to understand needs across pharmaceutical domains like Sales, Field Activity, and Market Access etc., and translate them into clear data and technical requirements.Build and maintain context layer, semantic models, business glossaries, and mappings that connect business concepts to data and AI AssetsApply CAR-T and pharma commercial knowledge to help shape data structures and business rules.Support the configuration of data and AI solutions using Databricks Genie and AWS servicesHelp validate and document solutions, ensuring they reflect business intent accurately.Skills & QualificationsGood communication and stakeholder management skills; comfortable working with both business and technical teams.Strong Understanding of pharmaceutical data domains such as Sales, Field Activity, or Market Access etc.Knowledge of the CAR-T ecosystem, market dynamics, and the broader pharma commercial landscape.Experience with Databricks and AWS services relevant to data and AI solutioning, and a strong willingness to learn cloud/data platforms (Databricks, Snowflake, AWS or equivalent).Excellent knowledge of SQL and Python skills.Bachelor's degree in Life Sciences, Computer Science, Information Systems, Engineering, or a related field.Experience:6–8+ years of experience in pharma commercial data, analytics, or data/AI solutioning.EligibilityOpen to candidates based in, or willing to work from, the San Francisco Bay Area (hybrid).Must be authorized to work in the United States.Pay Transparency LawsSalary 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.