Senior Director, US Decision Science – AI Innovation

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Take ownership of the certified method portfolio for marketing mix and investment optimization, next-best-action and dynamic targeting, patient predictive triggering, and causal measurement.

• Promote the reuse of certified methods across various brands while eliminating redundant bespoke builds.

• Oversee deployment through decision engines, simulators, embedded field and omnichannel triggers, planning tools, and measurement tools.

• Ensure the adoption and sustained utilization of deployed methods and capabilities.

• Personally design, review, and develop analytics and AI solutions while acting as a player-coach.

• Establish and uphold standards for validation, versioning, documentation, reproducibility, and explainability.

• Differentiate between certified enterprise methods and brand configurations.

• Lead the applied AI initiatives across agentic AI, generative AI, and synthetic data.

• Manage a prototyping pipeline that transitions techniques into production or phases them out based on evidence.

• Ensure compliance with GSK Responsible AI, privacy, and data use regulations.

• Establish model risk assessments, human oversight, permitted-use compliance, a model registry, and ongoing monitoring.

• Collaborate with data engineering, Digital & Technology, and data management on platforms, engineering, and certified inputs.

• Make decisions on build-versus-buy and hold vendors to internal standards.

• Serve as the method authority for brand teams and Insights & Analytics.

• Convert demand into a prioritized roadmap and effectively communicate uncertainties and limitations to executive audiences.

• Direct offshore GCC analytics capacity on methodology and development.

• Cultivate the organization and set the technical standard through example.

⛳️ Requirements

• Bachelor's degree required; Master's and PhD preferred.

• Over 12 years of experience with hands-on modeling.

• Proficient in deploying predictive analytics, machine learning, deep learning, and/or information retrieval algorithms at scale.

• Comprehensive experience in end-to-end model exploration, development, deployment, and management.

• Expertise in developing insights and narratives through the interpretation of analysis and modeling.

• In-depth knowledge of commercial pharmaceutical methods, including marketing mix modeling, next-best-action, patient-level predictive modeling, or causal measurement.

• Responsible for results that inform business decisions.

• Experience with production generative or agentic AI in commercial pharma under enterprise governance, in use and shipped.

• Proven track record in building and deploying tools and methodologies for analyzing and measuring sales and marketing activities.

• Comprehensive experience in retrieving data and producing executive-level analyses through advanced analytics techniques.

• Experience in setting the vision and governance for agentic AI across an organization.

• Proficiency with GenAI tooling, including LLM APIs, prompting, context engineering, retrieval-augmented generation, vector stores, chunking, retrieval evaluation, and LLMOps evaluation pipelines.

• Familiarity with multimodal data and US commercial data assets like IQVIA, Komodo, Symphony, and Veeva.

• Strong verbal and written communication skills.

• Ability to collaborate effectively across cultural and functional boundaries.

• Demonstrated leadership skills, agile decision-making, and the capability to resolve complex problems.

• Flexible communication style and cultural sensitivities.

• Proficient in AI frameworks, algorithm optimization, artificial neural networks, computer programming, deep learning, feature engineering, GCP for machine learning, machine learning algorithms, machine learning operations, Azure Data and AI, ML frameworks, model evaluation, model training, model validation, performance optimization, and SDLC.

🏝️ Benefits

• Annual bonus.

• Eligibility to participate in a share-based long-term incentive program.

• Health care benefits for employees and their families.

• Additional insurance benefits for employees and their families.

• Retirement benefits.

• Paid holidays.

• Vacation time.

• Paid caregiver/parental leave.

• Paid medical leave.