Director of Advanced Analytics, Data Science & AI - Commercial Pharmaceuticals

Director, Advanced Analytics, Data Science & AI

Our client is seeking a visionary Director of Advanced Analytics, Data Science & AI to lead the development, deployment, and activation of data‑driven insights that shape brand, therapeutic area, and enterprise‑level strategy. This leader will sit at the center of their most critical commercial decisions—translating complex business challenges into AI‑powered solutions, influencing senior stakeholders, and elevating our analytical capabilities across the organization.

This role demands a blend of strategic thinking, technical depth, and exceptional communication. You will guide the design and execution of advanced analytics, champion innovation, and ensure insights are translated into meaningful business impact. You will also build, mentor, and inspire a high‑performing team that pushes the boundaries of what data science can deliver in a modern commercial environment.

Responsibilities:

Enterprise Insight Leadership

* Deliver an integrated view of insights across brands and therapeutic areas, covering resource allocation, marketing mix measurement, channel optimization, digital analytics, predictive modeling, and decision engines/Next Best Action.

* Shape the analytics agenda for US Commercial, ensuring alignment with strategic priorities and measurable business outcomes.

Advanced Analytics & AI Innovation

* Lead the development and deployment of machine learning models, predictive algorithms, NLP solutions, and AI‑powered tools that drive commercial strategy and execution.

* Continuously evaluate and enhance data science capabilities, identifying opportunities to modernize, automate, and scale analytical solutions.

Team Leadership & Talent Development

* Manage, mentor, and grow a team of data scientists and AI specialists, fostering a culture of innovation, curiosity, and excellence.

* Build external partnerships—including academic collaborations—to bring cutting‑edge research and emerging techniques into the organization.

Stakeholder Influence & Insight Activation

* Translate complex analytical outputs into clear, compelling insights that influence senior leaders and cross‑functional partners.

* Guide stakeholders through interpretation, activation, and integration of insights into commercial planning and decision‑making.

* Deliver consolidated, actionable recommendations to US Commercial teams, ensuring insights drive measurable impact.

Operational Excellence

* Oversee project prioritization, resource allocation, timelines, and budgets for analytics and AI initiatives.

* Define and track KPIs to measure the effectiveness and ROI of data‑driven solutions.

* Ensure compliance with data privacy, security standards, and governance frameworks.

Requirements:

* 10+ years of experience in advanced analytics within US commercial settings, ideally in biotech/pharma or top‑tier management consulting.

* Bachelor’s degree in engineering, economics, statistics, computer science, or a related quantitative field (advanced degree preferred).

* Demonstrated ability to translate data science outputs into business recommendations that influence resource allocation, marketing mix optimization, omnichannel strategy, and digital engagement.

* Deep expertise with SQL and NoSQL data environments, including large‑scale distributed systems (Hadoop) and modern cloud platforms (Snowflake, Databricks).

* Strong proficiency in machine learning, big data technologies, Python, R, and modern data visualization techniques.

* Proven leadership experience building, developing, and inspiring high‑performing analytics teams.

* Exceptional communication, stakeholder management, and strategic problem‑solving skills.

Send questions and resumes to [email protected]