AI Commercial Associate Principal

AI Commercial Associate Principal Responsibilities AI & Data Science Strategy

• Define and lead AI transformation roadmaps for pharma clients, aligning data science innovation with commercial strategy and business priorities.
• Shape and communicate a clear AI vision for clients, identifying high‑value use cases and building the organizational capabilities to scale them.
• Advise senior stakeholders on how to leverage machine learning, GenAI, and agentic AI to enhance customer engagement, marketing effectiveness, forecasting, field operations, and patient services operations.
• Represent ZS as a thought leader on AI‑driven business transformation within pharma, contributing to industry forums, publications, and innovation programs.

• Lead end‑to‑end AI program design and implementation, from defining the problem and identifying data sources to model development, piloting, and scaled deployment.
• Drive business impact by ensuring AI initiatives are tightly integrated into client workflows, supported by change management and clear ROI tracking.
• Collaborate with cross‑functional teams—including data science, analytics, business transformation, and technology—to deliver solutions that are both technically robust and commercially relevant.
• Ensure consistent delivery excellence across multiple AI programs, managing risk, scope, and stakeholder expectations.
• Maintain strong familiarity with AI and ML platforms, cloud environments, and MLOps practices (e.g., Databricks, Snowflake, AWS, Azure, MLflow) to guide technical discussions and program success.

• Build and sustain trusted advisory relationships with VP‑ and C‑level leaders across commercial, analytics, and data functions.
• Partner with clients to identify new AI opportunities, build investment cases, and shape multi‑year AI transformation roadmaps.
• Lead business development efforts—from shaping proposals and presenting solutions to expanding relationships across client organizations.
• Contribute to the evolution of ZS’s AI offerings, ensuring they reflect the latest in data science innovation and real‑world commercial needs.

• Lead and mentor teams of consultants and data scientists to deliver high‑impact AI programs.
• Foster a collaborative and inclusive culture that encourages curiosity, experimentation, and intellectual rigor.
• Provide structured feedback, career development, and leadership opportunities for emerging AI talent at ZS.
• Promote close collaboration between consulting, analytics, and technology practices, ensuring integrated client delivery.

• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Engineering, or a related quantitative discipline.
• 10+ years of experience in AI and data science applied to business transformation, with significant exposure to pharma commercial functions (sales, marketing, market access, or patient services).
• Proven success in designing and implementing AI/ML programs that drive measurable business outcomes, not just model accuracy.
• Demonstrated experience in shaping AI strategy and leading large, cross‑functional transformation initiatives.
• Deep expertise in data science methodologies, machine learning, and the application of Generative and Agentic AI in business contexts.
• Strong understanding of pharma commercial data ecosystems (e.g., patient data, HCP data, RWD, CRM/marketing data).
• Familiarity with modern AI and data technology environments to enable effective partnership with technology teams.
• Track record of executive engagement and stakeholder management at VP and C‑suite levels.
• Experience leading and inspiring global teams across geographies and functions.
• Fluency in English.
• Client‑first mentality.
• Intense work ethic.
• Collaborative spirit and problem‑solving approach.

• Strategic thinker with the ability to connect AI innovation to tangible commercial outcomes.
• Recognized or emerging thought leader in AI applications for life sciences.
• Exceptional communication, influencing, and storytelling skills.
• Entrepreneurial mindset, comfortable navigating ambiguity and driving…