Global Decision Science Leader - Commercial Analytics

Vertex Pharmaceuticals LLC; Boston (MA); On-site; USD 250,000 - 380,000; Full time

Benefits offered by this job

Annual bonus

Equity awards

Job summary

Vertex Pharmaceuticals is seeking an Executive Director to lead Global Commercial Analytics- Decision Science in Boston. The role drives analytics that inform pipeline, launch, and lifecycle choices and ensures alignment with executive strategy.

The leader will build a high-performing global team, set standards, and deliver reusable analytics assets. Strong communication to senior leaders and governance of AI-enabled decisions are essential.

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, OR related quantitative discipline.
• Advanced degree such as MS/PhD or MBA preferred.
• Extensive leadership in commercial analytics, decision science, or related field.
• Experience translating business questions into analytical frameworks.

Responsibilities

• Lead the Global Decision Science organization and capability agenda across pipeline, pre-launch, launch, lifecycle and in-line areas.
• Partner with disease leaders and BI&A to frame decisions and identify evidence needed.
• Establish standards for segmentation, targeting, patient analytics, resource allocation and modeling.
• Build analytics that quantify drivers, risks, and business impact across decisions.
• Oversee experimentation and measurement capabilities, including test-and-learn design.
• Develop scalable decision-support products combining data, rules, and AI-enabled capabilities.

Skills

Leadership

Decision science

Advanced analytics

Data science

AI/ML governance

Executive communication

Stakeholder management

Cross-functional collaboration

Education

Bachelor’s degree in quantitative field

MS/PhD/MBA preferred

Job description

Vertex Pharmaceuticals is seeking an Executive Director to lead Global Commercial Analytics- Decision Science in Boston. The role drives analytics that inform pipeline, launch, and lifecycle choices and ensures alignment with executive strategy.

The leader will build a high-performing global team, set standards, and deliver reusable analytics assets. Strong communication to senior leaders and governance of AI-enabled decisions are essential.