Company Overview:

Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.

Position Overview:

Axtria’s Decision Intelligence team is undergoing a significant transformation, integrating Artificial Intelligence (AI) and Generative AI (GenAI) into our solutions. We are seeking an Advanced Analytics leaders who are not only passionate about data science but also eager to explore the frontiers of AI-driven innovation for the Life Sciences domain. You are expected to 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

Mission: Join us in shaping the future of decision science through cutting-edge AI innovation.

Key Responsibilities:

• Delivery & Client Engagement: Independently manages, builds, and exceeds targets for clients. Acts as peer and partner to Sr 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.
  • Monitors 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: Sought out SME that can influence client discussion through real-world successes. Possible publications, whitepapers or other expertise driven items.
• Team building, ownership & accountability: Possesses relevant leadership philosophy which includes accountability & responsibility for individual and team work. Builds morale, energy & engagement while fostering a learning & growth-oriented team culture. Challenges but in a productive and noncritical manner
• Business Development: Able to sell across Axtria business segments in a consultative manner. Can 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 Sr Exec and C-level.)
• Recognized as a problem solver, contributes 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

Required Skills & Experience:

• 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 & Logistics:

• Location: We are open to hire in Boston region.
• Head Office: Berkeley Heights, NJ
• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
• Flexibility to travel and/or relocate within the U.S. as per project requirements.

The exact nature of duties, level of role as well as the salary and compensation package will be commensurate with experience and salary history.

Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered.

Pay Transparency Laws
Salary range or hourly pay range for the position
The salary range for this position is $157,600 to $205,425 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.

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