Head of Data Strategy & AI-Driven Commercialization (Remote)

argenx SE; United States; Remote; USD 236,000 - 325,000; Full time

Job summary

argenx SE is seeking a Head of Data Strategy in the United States to lead the data strategy capability for commercialization, analytics, and AI-ready decision-making across markets. You will shape data acquisition, governance, and product roadmaps while partnering with DT and global insights teams.

The role requires a seasoned leader with extensive experience in data governance, architecture, and analytics enablement within biopharma, capable of driving adoption and data-driven outcomes for

Qualifications

• BA or BS required; MBA preferred.
• 12–15 years in data strategy / analytics enablement in life sciences.
• Experience defining enterprise data governance and AI-readiness initiatives.
• Strong analytical and systems-thinking skills.
• Startup, launch, or capability-building experience preferred.

Responsibilities

• Lead commercialization data strategy to drive analytics, AI readiness, and performance.
• Define data architecture, governance, and data product roadmaps.
• Collaborate with DT, global insights, and stakeholders to align data standards.
• Manage data vendors and external data sources with SLAs.
• Build reusable data products and data catalogs used across markets.
• Champion data fluency and adoption across commercialization teams.

Skills

Executive communication

Stakeholder management

Data governance

Data architecture

Analytics enablement

AI readiness

Vendor management

Startup builder mindset

Education

BA/BS required

MBA preferred

Job description

argenx SE is seeking a Head of Data Strategy in the United States to lead the data strategy capability for commercialization, analytics, and AI-ready decision-making across markets. You will shape data acquisition, governance, and product roadmaps while partnering with DT and global insights teams.

The role requires a seasoned leader with extensive experience in data governance, architecture, and analytics enablement within biopharma, capable of driving adoption and data-driven outcomes for