Senior Manager – Solution Architect, Commercial Data & Analytics (1315)
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 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?
Role Summary
Key Responsibilities
1. Life Sciences Commercial & Marketing Domain
- Apply strong working knowledge of pharma commercial and marketing operations, including sales force effectiveness, market access, and brand/marketing analytics.
- Bring hands-on familiarity with key commercial data sources: CRM (Veeva/Salesforce), IQVIA 867 (claims/sales), DDD, Xponent, Claims data (medical/pharmacy), Speaker Program data, Google Analytics/digital engagement data, and Omnichannel marketing data.
- Understand data nuances, licensing constraints, and standard business rules associated with syndicated and third-party pharma data sources.
- Translate commercial business questions (HCP targeting, segmentation, patient analytics, brand performance, omnichannel effectiveness) into data and reporting requirements.
- Architect, build, and support large-scale enterprise data warehouse and data mart solutions supporting commercial reporting and analytics.
- Be hands-on with modern data platforms and tools — Databricks, Redshift, cloud data warehousing (Snowflake/AWS/Azure/GCP), ETL/ELT pipelines, and reporting/BI tools (Tableau, Power BI, MicroStrategy, or similar).
- Design end-to-end solutions from the ground up — data models, ingestion frameworks, transformation logic, data quality checks, security/access, and reporting layers.
- Define and enforce architecture standards, scalability, performance tuning, and data governance best practices.
- Evaluate and recommend emerging technologies (including cloud modernization and AI/ML/GenAI use cases) to improve commercial analytics capabilities.
- Act as the primary point of contact for business stakeholders — gathering requirements, prioritizing enhancements, and translating needs into technical solutions.
- Lead triage and root-cause resolution of production data/reporting issues in partnership with business and technical teams.
- Own and manage escalations, ensuring timely resolution and transparent communication to stakeholders and leadership.
- Prepare and present Weekly Status Reports and Monthly Business Reviews (MBRs) to client stakeholders and internal leadership.
- Lead and mentor a distributed delivery team across onshore and offshore locations, fostering strong collaboration and accountability.
- Operate as both a Business SME and Technical SME, able to go deep into architecture discussions and equally comfortable framing business impact.
- Own program management responsibilities: project planning, timelines, resource allocation, risk/issue management, and delivery governance.
- Drive performance management, capability building, and career development for team members.
- Create Statements of Work (SOWs), proposals, and effort estimates for new client demands, change requests, or proactive solution recommendations.
- Identify opportunities to expand engagement scope through innovative ideas, accelerators, or new analytics use cases.
- Support pre-sales activities including solutioning, client presentations, and RFP responses as needed.
- Travel to client office(s) 2–3 days per week to support in-person collaboration, workshops, and stakeholder discussions.
Required Qualifications & Experience
- 8-10 years of total IT/consulting experience, with at least 6 years focused on Life Sciences commercial data and analytics.
- Proven experience architecting and delivering large data warehouse / data mart programs end-to-end.
- Strong hands-on expertise in Databricks, Redshift (or equivalent cloud DW), ETL tools (Informatica, Talend, DBT, Glue, etc.), and reporting/BI platforms.
- Demonstrated experience working directly with pharma commercial/marketing business teams, not just IT counterparts.
- Experience managing onshore-offshore delivery models and cross-functional teams of 10+ members.
- Prior experience authoring SOWs, proposals, or effort/cost estimates in a consulting environment.
- Excellent verbal, written, and executive-level presentation skills.
- Willingness and ability to travel to client sites 2–3 days per week.
Pay Transparency Laws
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.
#LI-DM1