Head of Data Strategy

Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi‑dimensional expansion to reach more patients through a rich pipeline of differentiated assets, led by VYVGART, our first‑in‑class neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat patients across dozens of severe autoimmune diseases.

We are building a new kind of biotech company, one that maintains its roots as a science‑based start‑up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company, our partnerships, our science, and our people, because when we do, we deliver more for patients.

The Head of Data Strategy will be a key senior leader within the US Digital, Insights & Analytics community, responsible for building and leading the data strategy capability that enables trusted, scalable, and AI‑ready commercialization decision‑making. This role will define how commercialization data is acquired, managed, governed, organized, and activated through high‑value data products in close partnership with DT (Digital Technology), the global insights community, and senior business stakeholders across the organization.

The role will also connect data strategy to meaningful commercialization outcomes, including improved patient pull‑through, time‑to‑therapy, and overall performance.

• Lead the commercialization data strategy capability to support growth across the portfolio, including the data acquisition roadmap, governance model, data product strategy, operating rhythms, and enterprise standards required to drive scalable analytics, AI readiness, and commercialization performance.
• Partner across the commercialization data ecosystem to strengthen data acquisition, data product management, governance, data quality, business enablement, and adoption.
• Define commercialization data architecture, platform requirements, integration priorities, master data needs, data quality controls, and AI‑enablement capabilities in close partnership with DT (Digital Technology) and the global insights community.
• Provide targeted support to the global insights community and global teams on data strategy, data acquisition, and capability building, helping align approaches, share reusable standards and solutions, and strengthen data foundations across markets.
• Lead commercialization data acquisition strategy, including identification, evaluation, onboarding, rationalization, and lifecycle management of external and internal data sources to reduce duplication, improve value from data investments, and support analytics, reporting, segmentation, forecasting, AI, and data product development.
• Establish and maintain commercialization data governance practices, including definitions, ownership, stewardship, quality standards, metadata management, access rules, privacy and compliance considerations, issue‑resolution processes, and mechanisms to identify and prevent duplicative or inconsistent data acquisition.
• Create and manage a portfolio of commercialization data products that translate data into actionable insights and reusable capabilities supporting field execution, access strategy, self‑serve analytics, AI‑enabled use cases, and commercialization decision‑making.
• Advance AI readiness by ensuring data assets are well‑governed, high‑quality, discoverable, appropriately documented, interoperable, and fit for analytical, automation, and AI‑enabled workflows.
• Translate commercialization business needs into clear data requirements, product backlogs, delivery priorities, and adoption plans in partnership with Commercial Analytics & Insights, DT, and…