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. Key Accountabilities/Responsibilities: 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 functional stakeholders. Partner across commercialization communities, including patient, HCP, market access, and medical affairs evidence generation stakeholders, to align data standards, expectations, source strategies, and requirements needed to enable consistent insight generation. Support data fluency and adoption across commercialization teams by improving data usability, clarity, consistency, and accessibility, while helping users understand trusted data sources, definitions, and appropriate use cases across commercialization workflows. Manage key data vendor and partner relationships, including data acquisition agreements, data quality expectations, service levels, documentation, and ongoing performance management. Define and monitor measures of data value, quality, completeness, timeliness, usage, adoption, and readiness for advanced analytics and AI-enabled applications. Collaborate with Commercial Analytics & Insights, DT, and business stakeholders to prioritize data and analytics investments based on commercialization priorities, AI readiness needs, feasibility, risk, and expected business impact. Serve as the senior data strategy subject matter expert and trusted thought partner to commercialization leaders, shaping the data foundation required for launch planning, in-market performance management, pipeline planning, and future digital and AI capabilities. Partner with Finance, Procurement, Legal, Compliance, and DT to support data contracts, data rights, privacy considerations, and budget management for commercialization data assets and platforms. Desired Skills and Experience: Deep expertise in commercialization data strategy, data acquisition, data management, governance, data architecture, data products, and analytics enablement within the biopharmaceutical industry, with a track record of setting direction across complex organizations. Demonstrated ability to partner with DT (Digital Technology) and business stakeholders to translate data needs into scalable platform, integration, governance, and AI-readiness requirements. Experience building reusable data products, data marts, curated datasets, semantic layers, or other trusted data assets that support analytics, reporting, self-serve insights, and AI-enabled workflows. Deep appreciation for data quality, metadata, lineage, stewardship, access management, compliance, privacy, and the governance foundations required for responsible analytics and AI use. Proven ability to assess, onboard, manage, and optimize external data vendors, data providers, and implementation partners. Executive-level communication, facilitation, and stakeholder leadership skills, with the judgment and credibility to influence across commercialization communities, DT, Finance, Legal, Compliance, and external partners. Ability to work in a hands-on, builder environment while establishing structure, standards, and scalable ways of working for a growing data strategy function. Strong enterprise business judgment and ability to make and guide investment trade-offs based on strategic value, feasibility, risk, data rights, AI readiness, and expected impact on commercialization performance. Ability to drive data fluency, adoption, and behavior change across business teams by making data products easier to understand, trust, and use in day-to-day decision-making. Good understanding of pharmaceutical commercialization, data privacy, compliance, regulatory considerations, and appropriate use of healthcare and commercial data. Education and Qualifications: BA or BS required, MBA Preferred Minimum of 12-15 years of experience in data strategy, data management, commercialization operations, analytics enablement, business intelligence, or related functions within the biopharmaceutical, healthcare, or life sciences industry. Demonstrated experience defining and leading enterprise-scale data governance, data acquisition, data product, data platform, data quality, or AI-readiness initiatives in partnership with technology teams. Strong analytical and systems-thinking skills, with the ability to connect business questions, data assets, platform capabilities, governance requirements, and end-user adoption. Start-up, launch, or capability-building experience preferred. Familiarity with leading healthcare and pharmaceutical data sources, data providers, analytics platforms, cloud data environments, and data governance tools preferred. #LI-remote ‎ For applicants in the United States: The annual base salary hiring range for this position is $236,000.00 - $324,500.00 USD. This range reflects our good faith estimate at the time of posting. Individual compensation is determined using objective, inclusive, and job-related criteria such as relevant experience, skills, demonstrated competencies and internal equity. This means actual pay may differ from the posted range when justified by these factors. Because market conditions evolve, pay ranges are reviewed regularly and may be adjusted to remain aligned with external benchmarks. This job is eligible to participate in our short-term and long-term incentive programs, subject to the terms and conditions of those plans and applicable policies. It also includes a comprehensive benefits package, including but not limited to retirement savings plans, health benefits and other benefits subject to the terms of the applicable plans and program guidelines. At argenx, all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer. Before you submit your application, CV or any other personal details to us, please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates (“argenx”) will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights, please contact our Global Privacy Office by email at privacy@argenx.com. If you require reasonable accommodation in completing your application, interviewing, or otherwise participating in the candidate selection process please contact us at hr.us@argenx.com. Only inquiries related to an accommodation request will receive a response. argenx is a global immunology company dedicated to improving the lives of people suffering from severe autoimmune diseases. Through our rich pipeline of first-in-class therapies, led by VYVGART®, we are accelerating progress toward our bold 2030 vision: to reach 50,000 patients and transform the landscape of autoimmune treatment. Our innovation mission combines with meaningful work and endless opportunities for growth to create once-in-a-career experiences. argonauts work in locations around the globe including Belgium, Boston, Japan and Amsterdam. There's more to discover at argenx, where our passion inspires bold possibility. argenx honors the terms of our written agreements with the recruiting and staffing agencies that we retain and contract with to assist us with talent searches and other recruiting needs. Accordingly, all resumes and referrals that recruiting and staffing agencies proactively share with argenx that (i) were not solicited or requested by argenx’s internal Talent Acquisition team and (ii) were sent in the absence of a valid, written agreement between argenx and the firm, recruiter, or agency, may be pursued by argenx and are ineligible for payment of referral or other fees. We encourage you to be cautious of recruiting scams and fictious communications that pretend to be from argenx employees. These scams are designed by fraudsters to get personal information (e.g., social security numbers, bank account information, dates of birth), money or payments from job seekers as part of a “recruiting” process. argenx does not request financial information or money from job seekers. Legitimate emails from argenx employees end in “@argenx.com.” Fraudsters disguise themselves by using similar email addresses (e.g., @argenxhr.com, @argenxcareer.com, etc.) or public domains (@gmail.com, @yahoo.com, etc.). They may use photographs and names of real argenx employees for their fake interviews. argenx does not recruit or post positions on RingCentral, Facebook, or Craig’s List. Our formal recruitment process includes interviews with members of argenx’s talent acquisition team and other interviewers that occur in person at our offices, or via Zoom or Teams video calls. Interview processes that involve a formal offer from argenx will include written employment documentation on official argenx letterhead. argenx takes prompt appropriate and responsive action to fraudulent recruiting efforts when we become aware of them. If you believe you have been victimized by an employment application or a fraudulent recruiting scam, you can contact your local law enforcement authority for guidance or the FBI’s Internet Crimes Complaint Center at www.IC3.gov to file a complaint.

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