US Decision Science & AI Innovation Leader

GSK; United States; A distancia; USD 187.000 - 311.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care and other insurance

Retirement benefits

Paid holidays

Vacation

Paid caregiver/parental leave

Medical leave

Descripción de la vacante

GSK is seeking a Senior Director of US Decision Science & AI Innovation to lead analytic methods turning data into strategic commercial decisions. You will own the certified algorithm portfolio, drive adoption of decision engines and simulators, and oversee a hands-on, player-coach leadership style across marketing mix optimization, next-best-action, and causal measurement.

The role requires extensive experience in predictive modeling, AI governance, and end-to-end model development, with

Formación

• Hands-on modeling experience across commercial pharma methods.

Responsabilidades

• Own the certified method portfolio across marketing mix and investment optimization.
• Deploy methods through enterprise capabilities and drive adoption.
• Lead the applied AI agenda including multi-agent orchestration and retrieval-augmented generation.
• Ensure compliance with GSK Responsible AI, privacy and data-use rules.

Conocimientos

Marketing mix modeling

Next-best-action

Customer targeting

Predictive modeling

Causal measurement

AI governance

GenAI / agentic AI

Model deployment

Data science leadership

Educación

Bachelor's degree

Master's degree

PhD

Herramientas

GCP (Google Cloud Platform) for ML

Microsoft Azure Data & AI

ML Frameworks

LLM APIs

Retrieval-augmented generation

Descripción del empleo

GSK is seeking a Senior Director of US Decision Science & AI Innovation to lead analytic methods turning data into strategic commercial decisions. You will own the certified algorithm portfolio, drive adoption of decision engines and simulators, and oversee a hands-on, player-coach leadership style across marketing mix optimization, next-best-action, and causal measurement.

The role requires extensive experience in predictive modeling, AI governance, and end-to-end model development, with