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 ofData Strategywill bea keyseniorleader within theUSDigital,Insights&Analytics community,responsibleforbuildingandleadingthedatastrategycapabilitythat enablestrusted,scalable, and AI-readycommercialization 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, andseniorbusiness 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: 

Leadthecommercializationdata strategycapabilityto support growth acrossthe portfolio, includingthe data acquisition roadmap,governance model, data product strategy, operating rhythms, andenterprisestandards required todrive scalable analytics, AI readiness, andcommercializationperformance. 

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

• Definecommercialization data architecture, platform requirements, integrationpriorities,master dataneeds, data qualitycontrols,and AI-enablementcapabilities in close partnershipwith DT (Digital Technology)and theglobalinsights community. 

• Providetargeted supportto theglobalinsights communityandglobal teams on datastrategy, dataacquisition,andcapability building,helpingalign approaches, sharereusablestandardsandsolutions,andstrengthen data foundationsacrossmarkets. 

• Leadcommercialization data acquisition strategy, including identification, evaluation, onboarding,rationalization,and lifecycle management of external and internal data sourcesto reduce duplication, improve value from data investments, and support analytics, reporting,segmentation, forecasting, AI, and data product development. 

• Establishand maintaincommercializationdatagovernance practices, including definitions, ownership, stewardship, quality standards, metadata management, access rules, privacy and compliance considerations, issue-resolution processes, andmechanisms to identify and prevent duplicative or inconsistent data acquisition. 

• Create and manage a portfolio ofcommercialization data products thattranslate data intoactionableinsights andreusablecapabilities supporting field execution, accessstrategy, self-serveanalytics,AI-enabled use cases,andcommercializationdecision-making. 

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

• Translatecommercialization businessneeds into clear data requirements, product backlogs,deliverypriorities, and adoption plansin partnership withCommercial Analytics &Insights, DT, andfunctional stakeholders. 

• Partneracross commercialization communities,including patient, HCP, market access, and medical affairs evidencegenerationstakeholders, toalign data standards, expectations, source strategies, and requirements needed to enable consistent insight generation. 

• Support data fluency andadoptionacrosscommercializationteams byimproving data usability, clarity,consistency, andaccessibility,whilehelping users understandtrusted data sources, definitions,and appropriateusecasesacross commercializationworkflows. 

• Manage key data vendorand partner relationships,including data acquisitionagreements,data quality expectations, service levels, documentation,and ongoing performance management. 

• Define and monitor measures of data value, quality, completeness, timeliness, usage, adoption, and readiness foradvancedanalyticsand AI-enabled applications. 

• Collaborate with Commercial Analytics &Insights,DT, and business stakeholders to prioritize data and analyticsinvestments based on commercialization priorities, AI readiness needs, feasibility, risk, and expected business impact. 

• Serve asthe senior data strategy subject matter expertandtrustedthought partnertocommercialization leaders,shapingthe data foundation requiredfor launch planning, in-market performancemanagement, pipeline planning, and future digital and AI capabilities. 

• Partner withFinance, Procurement, Legal, Compliance, and DTtosupport datacontracts, data rights, privacy considerations, and budget management forcommercialization data assets and platforms. 

Desired Skills and Experience: 

Deep expertise incommercialization datastrategy, dataacquisition, datamanagement, governance, data architecture, data products, and analyticsenablement within the biopharmaceutical industry, with a track record of setting direction across complex organizations. 

• Demonstrated abilityto partner with DT (Digital Technology) and business stakeholders to translate data needsintoscalable platform,integration,governance, and AI-readiness requirements. 

• Experience building reusabledata products, data marts,curateddatasets, semantic layers, orother trusted dataassets that support analytics,reporting, self-serve insights, and AI-enabled workflows. 

• Deepappreciation for dataquality, metadata, lineage, stewardship, access management, compliance, privacy, and the governancefoundations required forresponsible analytics and AIuse. 

• Provenability toassess, onboard,manage, and optimizeexternal data vendors, data providers, and implementation partners. 

Executive-level communication,facilitation, and stakeholderleadership skills, with thejudgment and credibilityto influenceacrosscommercialization communities, DT, Finance, Legal, Compliance, andexternal partners. 

• Abilitytowork in a hands-on, builder environmentwhileestablishingstructure,standards,andscalableways ofworkingfor agrowing data strategy function. 

Strongenterprisebusiness judgmentand ability tomakeandguide investment trade-offs based on strategicvalue, feasibility, risk, data rights,AI readiness, andexpected impact oncommercialization performance. 

• Ability to drivedatafluency, adoption, andbehavior change across business teams by making data products easierto understand, trust, and use in day-to-daydecision-making. 

• Good understanding of pharmaceuticalcommercialization, dataprivacy, compliance, regulatory considerations,and appropriate use of healthcare and commercial data. 

Education andQualifications: 

• BA or BS required, MBA Preferred 

• Minimum of12-15years of experience indata strategy,data management,commercializationoperations, analytics enablement, business intelligence, or relatedfunctions within the biopharmaceutical,healthcare, or life sciences industry. 

• Demonstrated experience definingand leading enterprise-scale datagovernance, dataacquisition, data product, data platform, data quality, or AI-readiness initiatives in partnership with technology teams. 

• Strong analyticaland systems-thinking skills, with the abilityto connect business questions, data assets, platform capabilities, governancerequirements, and end-user adoption. 

• Start-up, launch, orcapability-building experiencepreferred. 

• Familiaritywithleadinghealthcareandpharmaceutical data sources,data providers,analytics platforms,clouddata environments,and datagovernance toolspreferred. 

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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.

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