Director/Senior Director - Commercial Analytics - Life Sciences
Listed on 2025-12-10
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IT/Tech
Business Systems/ Tech Analyst, AI Engineer, Data Science Manager, Data Analyst
Director/Senior Director - Commercial Analytics - Life Sciences (1222)
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.
Position Overview Axtria’s Decision Science team is undergoing a significant transformation, integrating Artificial Intelligence (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. 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 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:
Serve as SME that can influence client discussion through real‑world successes. Possible publications, whitepapers or other expertise‑driven items. - Team building, ownership & accountability:
Possess 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 noncritical 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‑executive 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…
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