Principal AI & Data Science Client Lead (1203)

Axtria•Boston, MA

4d•Hybrid

About The Position

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. As a Principal AI & Data Science Client Lead you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows.

Requirements

18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare.
Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field.
Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth.
Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics.
Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP.
Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks.
Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value.
Strong executive presence and ability to influence business, IT, and analytics functions.
Exceptional track record in building global teams and delivering innovation at scale.

Responsibilities

Lead a $10M+ portfolio with full P&L accountability driving sustainable revenue growth, margin improvement, and delivery excellence.
Partner with CxO and VP-level stakeholders across the top 20 global pharma clients to define AI/ML strategies that enable data-driven decisioning and competitive differentiation.
Shape multi-year transformation roadmaps aligned with client business priorities in brand strategy, market access, patient engagement, and medical excellence.
Influence account strategy, co-investment initiatives, and alliance partnerships to unlock enterprise-scale value creation.
Serve as an executive sponsor and trusted advisor , guiding clients through the design and adoption of modern data, analytics, and AI operating models.
Translate complex data science concepts into actionable strategies that enhance commercial performance, improve patient insights, and accelerate innovation cycles.
Oversee large-scale, cross-functional delivery programs—ensuring outcomes rooted in scientific rigor, operational scalability, and ethical AI.
Direct the design and deployment of GenAI ecosystems (LLMs, RAG, agentic architectures) and predictive platforms powering next-generation decision intelligence.
Shape the firm’s innovation agenda by leading the creation of agentic solutions , reusable AI frameworks, and domain-specific GenAI accelerators.
Contribute to Axtria’s IP and market differentiation through published insights, executive forums, and platform development.
Champion responsible AI principles—ensuring transparency, fairness, and patient-centricity in all AI-driven engagements.
Build and lead a global network of AI/ML and GenAI professionals across the US, India, and EU, fostering a culture of innovation and excellence.
Mentor emerging leaders, advancing technical and consultative capabilities within the organization.
Drive a high-performance culture centered on continuous learning, measurable business value, and positive societal impact.