Senior Manager – Solution Architect, Commercial Data & Analytics (1315)

Axtria, Inc.•Berkeley Heights, NJ

5d•$119,500 - $163,875

About The Position

Axtria is seeking an experienced Solution Architect at the Associate Director / Senior Manager level to design, build, and lead delivery of commercial data and analytics solutions for pharmaceutical and life sciences clients. This client-facing, hands-on leadership role combines deep Life Sciences commercial domain expertise with data engineering, architecture, and program management capabilities. The role partners with business stakeholders, leads distributed delivery teams, and helps shape new opportunities through proposals and Statements of Work (SOWs). Travel to client offices 2–3 days per week is required. Axtria is a global provider of cloud software and data analytics for the Life Sciences industry. Its platforms support data management, sales and marketing planning, and commercial operations. The company describes its culture as transparent and collaborative and highlights training through Axtria Institute and customized career progression plans. The salary range is $119,500 to $163,875 annually, based on a primary work location of Berkeley Heights, New Jersey. Actual pay may vary based on factors including education, experience, skills, abilities, internal equity, market data, and geographic location.

Requirements

8–10 years of total IT or consulting experience, including at least 6 years focused on Life Sciences commercial data and analytics.
Proven experience architecting and delivering large data warehouse or data mart programs end to end.
Strong hands-on expertise in Databricks and Redshift or an equivalent cloud data warehouse.
Experience with ETL tools such as Informatica, Talend, DBT, or Glue.
Experience with reporting and BI platforms.
Demonstrated experience working directly with pharmaceutical commercial or marketing business teams, not only IT counterparts.
Experience managing onshore-offshore delivery models and cross-functional teams of 10 or more members.
Experience authoring SOWs, proposals, or effort and 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.

Responsibilities

Apply knowledge of pharmaceutical commercial and marketing operations, including sales force effectiveness, market access, and brand and marketing analytics.
Use familiarity with commercial data sources such as CRM, IQVIA 867, DDD, Xponent, medical and pharmacy claims, speaker program, digital engagement, and omnichannel marketing data.
Account for data nuances, licensing constraints, and business rules for syndicated and third-party pharmaceutical data sources.
Translate commercial business questions into data and reporting requirements.
Architect, build, and support enterprise data warehouses and data marts for commercial reporting and analytics.
Design end-to-end data solutions, including data models, ingestion frameworks, transformation logic, data quality checks, security and access, and reporting layers.
Define and enforce architecture standards, scalability, performance tuning, and data governance practices.
Evaluate and recommend emerging technologies, including cloud modernization and AI/ML/GenAI use cases.
Gather business requirements, prioritize enhancements, and translate stakeholder needs into technical solutions.
Lead triage and root-cause resolution of production data and reporting issues; manage escalations and communicate resolution status to stakeholders and leadership.
Prepare and present Weekly Status Reports and Monthly Business Reviews to clients and internal leadership.
Lead and mentor a distributed onshore and offshore delivery team, fostering collaboration and accountability.
Manage project planning, timelines, resource allocation, risks and issues, and delivery governance.
Drive team performance management, capability building, and career development.
Create SOWs, proposals, and effort estimates for new client demands, change requests, and proactive solution recommendations.
Identify opportunities to expand engagements through innovative ideas, accelerators, and analytics use cases.
Support pre-sales solutioning, client presentations, and RFP responses as needed.
Travel to client offices 2–3 days per week for collaboration, workshops, and stakeholder discussions.