数据策略主管

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.

• 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 dataneeds, data quality controls, and AI-enablementcapabilities in close partnershipwith DT (Digital Technology) and the globalinsights community.

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

• 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.

• 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.

• 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.

• Advance AI readiness byensuring 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 withCommercial Analytics & Insights, DT, and functional stakeholders.

• Partneracross 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 acrosscommercializationteams by improving data usability, clarity, consistency, and accessibility, whilehelping users understand trusted data sources, definitions, and appropriateuse casesacross commercialization workflows.

• Manage key data vendorand 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 trustedthought partner tocommercialization leaders, shapingthe data foundation required for launch planning, in-market performance management, pipeline planning, and future digital and AI capabilities.

• Partner withFinance, 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 incommercialization 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, orother 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 governancefoundations required forresponsible 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 stakeholderleadership skills, with the judgment and credibilityto influence acrosscommercialization communities, DT, Finance, Legal, Compliance, and external partners.

• Abilitytowork in a hands-on, builder environment whileestablishingstructure, standards, andscalableways of workingfor a growing data strategy function.

Strong enterprisebusiness judgment and ability to makeand 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-daydecision-making.

• Good understanding of pharmaceuticalcommercialization, 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, commercializationoperations, 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 abilityto connect business questions, data assets, platform capabilities, governance requirements, and end-user adoption.

• Start-up, launch, or capability-building experience preferred.

• Familiaritywithleadinghealthcareandpharmaceutical data sources, data providers, analytics platforms, cloud data environments, and data governance tools preferred.

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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.
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If you require reasonable accommodation in completing your application, interviewing, or otherwise participating in the candidate selection process please contact us at . Only inquiries related to an accommodation request will receive a response.
Originally posted on Himalayas