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 bea key seniorleader within the USDigital, Insights& Analytics community, responsibleforbuildingandleadingthe data strategycapabilitythat enables trusted, scalable, and AI-ready commercialization decision-making. Thisrole will define howcommercialization 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.

Key Accountabilities/Responsibilities:

Lead thecommercializationdata strategy capabilityto support growth acrossthe portfolio, includingthe data acquisition roadmap,governance model, data product strategy, operating rhythms, and enterprise standards required to drive scalable analytics, AI readiness, and commercialization performance.

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Partner across the commercialization data ecosystem to strengthen data acquisition, data product management, governance, data quality, business enablement, and adoption.

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Define commercialization data architecture, platform requirements, integration priorities, master dataneeds, data quality controls, and AI-enablementcapabilities in close partnershipwith DT (Digital Technology) and the globalinsights community.

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Providetargeted support to the globalinsights community andglobal teams on data strategy, data acquisition, andcapability building, helpingalign approaches, share reusablestandardsandsolutions, andstrengthen data foundations acrossmarkets.

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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.

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Establishand maintain commercializationdata 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.

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Create and manage a portfolio of commercialization data products that translate data into actionable insights and reusablecapabilities supporting field execution, access strategy, self-serve analytics, AI-enabled use cases, andcommercialization decision-making.

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Advance AI readiness byensuring data assets are well-governed, high-quality, discoverable, appropriately documented, interoperable, and fit for analytical, automation, and AI-enabled workflows.

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Translate commercialization business needs into clear data requirements, product backlogs, delivery priorities, and adoption plans in partnership withCommercial Analytics & Insights, DT, and functional stakeholders.

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Partneracross commercialization communities, including patient, HCP, market access, and medical affairs evidence generation stakeholders, to align data standards, expectations, source strategies, and requi