[Hiring] Senior Director, US Decision Science & AI Innovation @GSK

Role Description

Are you a senior analytics leader who wants to set the scientific standard for how a major pharmaceutical business makes its commercial decisions — while staying hands-on in the methods themselves? If yes, this Senior Director, US Decision Science & AI Innovation role could be an ideal opportunity to explore.

This role owns the analytic and AI methods that turn data into commercial decisions across US Commercial:

• Marketing mix and investment optimization
• Next-best-action and dynamic targeting
• Patient predictive triggering
• Causal measurement

Success in this role requires strong partnership across GSK, including:

• Brand teams
• Insights & Analytics
• Data engineering
• Digital & Technology organization
• Data management

The role sets what constitutes a defensible method, decides what is certified enterprise method versus brand configuration, and is accountable for the scientific quality, reproducibility, and explainability of results used in brand and portfolio decisions. Accountability does not stop at the model; the role owns the decision engines, embedded field and omnichannel triggers, and planning and measurement tools through which methods reach users and their adoption.

As the organization moves to enterprise supply with brand-driven priorities, both the method and the capability carrying it must be built once, certified, and reused rather than rebuilt brand by brand. This is a player-coach role, not an analytics oversight role — the post holder sets standards and develops the organization while working directly in the analytics, setting the technical bar by example.

The role leads the applied AI agenda across:

• Agentic AI
• Generative AI
• Synthetic data

with a prototyping pipeline that graduates or retires techniques on evidence, and directs offshore GCC analytic capacity on methodology and development. Brand teams and Insights & Analytics retain ownership of interpretation and commercial action.

Qualifications

• Bachelor’s degree; Masters and PhD preferred.
• 12+ years of experience with hands-on modeling.
• Experience deploying predictive analytics machine learning algorithms, deep learning algorithms and/or information retrieval at scale.
• End-to-end model exploration, development, deployment, and management.
• Experience developing insights and storylines through translation of analysis and modeling.
• Depth in commercial pharmaceutical methods — marketing mix modeling, next-best-action, patient-level predictive modeling, or causal measurement — with accountability for results used in business decisions.
• Production generative or agentic AI experience in commercial pharma, under enterprise governance — shipped and in use.

Requirements

• Build and deploy tools and methodologies to create solutions enabling analytics and measurement of sales and marketing activities (e.g., market-mix modeling, cross-channel attribution, omni-channel segmentation and customer targeting, patient pathways, omni-channel customer journey analysis and optimization, etc.).
• End-to-end experience in retrieving data and developing an executive-level analysis through advanced analytics techniques.
• Strong written and verbal communication skills.
• Ability to work effectively across boundaries – both cultural and functional.
• Leadership capability is critical; inspiring change rather than commanding action.
• Experience setting agentic AI vision and governance across an organization rather than a single team.
• Working command of current GenAI tooling — LLM APIs, prompting and context engineering, retrieval-augmented generation (vector stores, chunking, retrieval evaluation), and LLMOps evaluation pipelines.
• Familiarity with multimodal data — structured claims alongside unstructured clinical notes and lab signals — and with US commercial data assets such as IQVIA, Komodo, Symphony, and Veeva.

Benefits

• Annual base salary ranging from $186,750 to $311,250.
• Annual bonus and eligibility to participate in share-based long-term incentive program.
• Health care and other insurance benefits (for employee and family).
• Retirement benefits.
• Paid holidays and vacation.
• Paid caregiver/parental and medical leave.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.