Senior Director, US Decision Science – AI Innovation

GSK

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

Posted 10/19/2026full-timeRemote • Pennsylvania • United StatesSenior💰 $186,750 - $311,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying predictive analytics and machine learning solutions within the pharmaceutical industry, ensuring compliance with governance standards while driving innovation in AI methodologies. Capable of leading cross-functional teams and translating complex data insights into actionable business strategies.

Highest-signal resume keywords

Predictive Analytics DeploymentMachine Learning ExperienceCommercial Pharmaceutical MethodsGenerative AI ExperienceAdvanced Analytics Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model ExplorationModel DevelopmentModel DeploymentCausal MeasurementMarketing Mix ModelingDeep LearningAlgorithm OptimizationFeature EngineeringPerformance OptimizationModel Validation

Soft Skills

Strong Communication SkillsLeadership CapabilityAgile Decision-MakingCultural AwarenessProblem-Solving Ability

Tools & Technologies

GenAI ToolingLLM APIsAzure Data and AIGCP for Machine LearningML Frameworks

Industry Keywords

Pharmaceutical MethodsPatient-Level Predictive ModelingOmnichannel TriggersData GovernanceModel Risk Assessment

Tech Stack

Tools & technologies

AzureGoogle Cloud PlatformSDLC

About the role

Key responsibilities & impact

Own the certified method portfolio for marketing mix and investment optimization, next-best-action and dynamic targeting, patient predictive triggering and causal measurement
Drive reuse of certified methods across brands and eliminate duplicate bespoke builds
Own deployment through decision engines, simulators, embedded field and omnichannel triggers, planning tools and measurement tools
Ensure adoption and sustained use of deployed methods and capabilities
Personally design, review and build analytics and AI solutions as a player-coach
Set and enforce standards for validation, versioning, documentation, reproducibility and explainability
Define certified enterprise methods versus brand configuration
Lead the applied AI agenda across agentic AI, generative AI and synthetic data
Manage a prototyping pipeline that graduates techniques into production or retires them based on evidence
Ensure compliance with GSK Responsible AI, privacy and data-use requirements
Establish model risk assessment, human oversight, permitted-use compliance, model registry and ongoing monitoring
Partner with data engineering, Digital & Technology and data management on platforms, engineering and certified inputs
Own build-versus-buy decisions and hold vendors to internal standards
Act as method authority for brand teams and Insights & Analytics
Translate demand into a prioritized roadmap and communicate uncertainty and limitations to executive audiences
Direct offshore GCC analytic capacity on methodology and development
Develop the organization and set the technical standard by example

Requirements

What you’ll need

Bachelor’s degree required; Master’s and PhD preferred
12+ years of experience with hands-on modeling
Experience deploying predictive analytics, machine learning, deep learning and/or information retrieval algorithms at scale
End-to-end model exploration, development, deployment and management experience
Experience developing insights and storylines through translation of analysis and modeling
Depth in commercial pharmaceutical methods, including marketing mix modeling, next-best-action, patient-level predictive modeling or causal measurement
Accountability for results used in business decisions
Production generative or agentic AI experience in commercial pharma under enterprise governance, shipped and in use
Experience building and deploying tools and methodologies for analytics and measurement of sales and marketing activities
End-to-end experience retrieving data and developing executive-level analysis through advanced analytics techniques
Experience setting agentic AI vision and governance across an organization
Working command of 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 such as IQVIA, Komodo, Symphony and Veeva
Strong written and verbal communication skills
Ability to work effectively across cultural and functional boundaries
Leadership capability, agile decision-making and ability to solve sophisticated problems
Flexible communication style and cultural awareness
Skills 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

Comp & perks

Annual bonus
Eligibility to participate in share-based long-term incentive program
Health care benefits for employee and family
Other insurance benefits for employee and family
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental leave
Paid medical leave