Axtria - Ingenious Insights

HQ
Berkeley Heights
Total Offices: 16
2,856 Total Employees
Year Founded: 2010

Teams at Axtria - Ingenious Insights

13 Days AgoSaved
In-Office
Berkeley Heights, NJ, USA
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Leads strategic client relationships and account growth for life sciences consulting and technology services. Responsibilities include developing account strategies, expanding business across analytics and cloud platforms, managing account P&L and revenue targets, advocating for client success, overseeing program delivery, engaging senior stakeholders, and creating proposals, RFP responses, and thought-leadership content. Requires significant consulting or technology services experience, life sciences expertise, business development ability, and an MBA or advanced degree.
13 Days AgoSaved
In-Office
Thousand Oaks, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Build and optimize machine learning models for pharmaceutical commercial use cases, including patient journeys, treatment progression, churn prediction, HCP targeting, and next-best-action recommendations. Develop transformer, LSTM/GRU, and attention-based sequence models; integrate complex healthcare and commercial datasets; and create end-to-end pipelines using Databricks, PySpark, SQL, and MLflow. Translate analytical findings into actionable insights for brand, sales operations, and commercial stakeholders.
27 Days AgoSaved
In-Office
Berkeley Heights, NJ, USA
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Leads Axtria’s Commercial Excellence consulting practice, advising clients on incentive compensation, commercial strategy, field force design, segmentation, targeting, salesforce effectiveness, and analytics. Translates business objectives into AI-, data-, and analytics-driven solutions; manages complex projects and executive presentations; identifies growth opportunities; develops high-performing teams; supports hiring; and creates thought leadership. Requires 7–15 years of commercial strategy, operations, analytics, or consulting experience, with strong incentive compensation expertise and preferably life sciences exposure.