Director​/Senior Director - Commercial Analytics - Life Sciences

Position Overview

Axtria’s Decision Intelligence team is undergoing a significant transformation, integrating AI and Generative AI (GenAI) into our solutions. We are seeking an Advanced Analytics leader who is passionate about data science and eager to explore the frontiers of AI‑driven innovation for the Life Sciences domain. The candidate should have:

• Hands‑on experience with commercially available AI models, frameworks, and tools.
• Familiarity with AI‑powered analytics platforms and prompt engineering.
• Experience with AI/deep learning models in domains including, but not limited to:
• Patient analytics
• Marketing Mix Modeling
• Pharmaceutical forecasting analytics
• Commercial Model Design, Sales Force Sizing, and Structuring
• Promotion Response Modeling, ROI analysis, Go‑to‑market strategy, and Product Launch/Launch Planning
• Managed Market Analytics
• Market Access & Pricing
• Exposure to GenAI applications in areas including, but not limited to:
• Market research
• Forecasting
• Customer engagement

• Delivery & Client Engagement:
  Independently manage, build, and exceed targets for clients. Act as peer and partner to senior‑level executives in client business with an eye on elevating our services and solutions.
• Growth Responsibility, P&L and Resource Management
• Expand strategic partnerships, generate multi‑million‑dollar revenue streams, and deliver measurable outcomes.
• Develop and convert pipeline opportunities by aligning client priorities with Axtria’s data & AI offerings. Lead consulting engagements to win new business opportunities in pharma and life sciences.
• Monitor practice area P&L including scope, margin, client expectations, timeline, revenue goals & EBITDA while engaging in new and expanded account/client opportunities through high CSAT and repeat business.
• Capability Building & Thought Leadership:
  Seek out SME that can influence client discussion through real‑world successes. Possible publications, whitepapers, or other expertise‑driven items.
• Team building, ownership & accountability:
  Possess a relevant leadership philosophy which includes accountability & responsibility for individual and team work. Build morale, energy & engagement while fostering a learning & growth‑oriented team culture. Challenge but in a productive and non‑critical manner.
• Business Development:
  Able to sell across Axtria business segments in a consultative manner. Identify and proactively propose solutions that address potential opportunities in untapped client business.
• Communication &
  
  Collaboration:
  
  Highly skilled in leading client meetings, owning client presentations and establishing Axtria as a valued advisor and partner for senior execs and C‑level.
• Recognized as a problem solver, contribute ideas to enhance solutions independently.
• Customize and deploy Axtria's proprietary analytics to meet client requirements, delivering unparalleled value in every project engagement.
• Develop and maintain expertise in industry best practices and emerging trends in analytics.
• Contribute to Axtria's innovation by developing new solutions and analytical models.

• Bachelor's degree in Engineering, Computer Science, Operations Research, Industrial Engineering, Economics, Statistics, or related field; advanced degree preferred.
• 10+ years of relevant work experience in Commercial/Advanced Analytics within the Life Sciences industry.
• Strong consultative and client‑facing experience with a commercial mindset.
• Experience in RFP development, solution selling, and delivering data & AI applications in life sciences.
• Strong analytical skills with the ability to communicate complex findings effectively to non‑technical stakeholders.
• Proven track record in framing business issues, designing effective solutions, and delivering measurable results.
• Experience leading projects and teams, with exposure to statistical estimation and optimization techniques.
• Completed coursework or certifications in Generative AI and agentic AI technologies.
• Familiarity with large datasets and data manipulation techniques.

• Location:
  
  Open to hire in New Jersey, Philadelphia, and Boston region.
• Head Office:
  Berkeley Heights, NJ.
• U.S. Citizens…