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 o f D a t a Str a t e g y w ill b e

a key sen i or

l eader w i thi n th e US

Dig ital, Insigh ts

& A nal yt ic s com mun i ty , res p o n s ibl e

for

build ing

and

l ea ding

th e dat a strateg y

c a pabilit y

t hat en abl es tru sted , sc a l abl e , and AI - re a dy c om m erc ial iza t ion deci sion-ma k i n g. This

r ole 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 th e
• c o mmercial ization
• data stra tegy ca pabilit y
• to support g r o wth across
• t he po rtfo lio , in c lud i ng
• the da t a a c q ui sitio n roadmap ,
• gov erna nce mo d e l, d ata pro d uct strategy, operating rhythms, and enterprise standards required to drive scalable analytics, AI readiness, and commercialization performance.
• Partner acro ss t he commercialization data ecosystem to st rengthen data acquisiti on , data prod uct ma nag e ment, gov e rnance, dat a qual ity, business enablem e nt, and ad optio n.
• D efine commercialization data architecture, platform requirements, integration priorities , master data
• needs , data quality controls , and AI- enablement
• capabilities in close p art ner sh ip
• with DT (D igital T ech n ology) a nd 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 redu c e dupli ca tion, im pr ove value fro m data investment s , and su pport analytic s, r eporti ng, se g men t ation , forecastin g, AI, a n d data p ro duct de ve lopment.

Establish

• and maintain com mercia lization
• data gover n an ce practi ces, i n cludin g 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 a nd man age a portfolio of commercialization data products that translate data into ac tionable insights a nd reusable
• capabil it ies suppor ting fie ld execution , access strategy , se lf-serv e ana l ytics, AI- e nabled us e cases, a nd
• commer cializat i on decisi on -ma king .
• Advanc e AI readines s by
• ensuri ng dat a asse ts are we l l - g overned, h ig h-qu ality, d isc ov erabl e, appr opriately doc umented, i nterope rable, and fit for analytica l, au tomation, and AI-enabled workflows.
• Translate commercialization business needs into clear data requirements, product backlogs, delivery pr i oriti es , and adopti o n plans in pa rtne rship with
• Commercial A nalytics & Insights , D T, a nd functional stakeholder s.

Partner

• across c ommercial iz ation commu n ities, i ncluding pa tie n t, HCP , market access , and me dical a ffairs evid en ce g eneration stakeholder s, to a l ign d ata standards, expe ctations , source s t rat e gies, and r equ i rements ne eded to enable con sisten t insigh t generation.
• Suppo rt data fluency a nd ado ption acros s
• commerc ia lization
• t eams by improv in g data usa bility, clarit y, consistency , a nd a ccessibil ity, while
• help ing user s un d erstand trusted data s ou r ces, d e finitions, an d appro p riate
• use cases
• across comm er cia lization workflows .
• Manage ke y da t a vendor
• and partner relat ionshi ps, includ i ng data a cq uisition a greements, da ta qualit y expectations, service levels, documentation, and ongoing performance management.
• Define and monitor measures of data value, quality, completeness, timeliness, usage, adoption, and rea diness for ad vanced a nalytics an d AI-enabled applic ations.
• Collab o rat e with Commercial Analy tics & Insights , DT, an d busine s s st akeholders to pr iori t ize data a n d analyt i cs i nvestmen t s based on c o mmercializ ation p riorities , AI read iness ne ed s, f easibil ity, risk , and expected business impact.
• Serve as the senior data strategy subject matter expert and trusted
• t hought partner to
• commercia lizatio n leaders, s haping
• the data f oun d ation req uired for la unch p lanni ng, in-market per f ormance ma nage ment, pipeline planning, and future digital and AI capabilities.

Partner with

Finance , P rocuremen t, L egal, Compliance, and DT to support data contracts , d ata rights, priv acy c o nsid erations, and budget management for commercialization data assets and platforms.

Desired Skills and Experience

:

Deep expertise in

• co mmercial izatio n data s trategy , dat a acquisi tion, data manageme n t, gov ernance, da ta arch itecture, dat a pr oducts, a nd analyt ic s en ablem en t w i t hin th e biopha rm a ce utical ind ustry , with a track record of setting direction across complex organizations .
• Demo n strated abil i ty to par tner wi th DT (Digit al Tech no logy) and b usiness stakeholders to translate data nee ds into scalable p latform, inte gration ,
• gov e rnance, and AI-readiness requir ements.
• Experie nce bui l d i n g reus ab le da ta products, da t a marts,
• curated datasets, seman tic layers, or
• o the r trusted data assets that support analytics, reporting , self-serv e insight s , a nd A I-e nabled workflows.
• Deep appreciation for data quality , metadata, li neage, stewardship, access manag emen t, co mpliance , pr i vacy, and t he g overnance
• founda t ions required for
• responsible analytics and AI use .
• Proven ability to assess, onboard, manage , and op tim ize external data vendors, data prov ider s, and implementation partners.
• Executive-level c ommunica tion, fa cil ita tion, and stake holder
• leadership skills, with the judgment and credibility
• to influence across
• commercialization communities , DT, Finance, Legal, Compliance, and external partners.

Ability

• to
• work in a h ands-on , builder en vir o nment wh ile
• esta blishi ng
• structure , st an dards , and
• sc alable
• w a ys of w or k ing
• for a growing d ata strategy function.
• Stro n g en terprise
• busi ness judgment a nd ability to mak e
• and guide in vestment trade -offs base d on strategic va lue , feasibilit y , r isk, data ri gh t s, A I readines s , and ex pected impact on commercialization performance .
• Ability to d rive data fluency, adoption, and behavior c hange across bu si ness teams by mak ing data prod ucts easi e r to under stand, trust, and use in day -to-day
• decision- m aking.
• Good understanding of