Head of Data Strategy

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $236k - $324.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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argenx

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏥 Healthcare

💼 Consulting

🧬 Biotechnology

Healthcare • Consulting • Biotechnology

argenx is a biotechnology company committed to improving the lives of patients through immunology innovation. The company focuses on developing novel antibody-based therapies to treat severe autoimmune diseases. Using a collaborative approach with pioneering scientists and academic partners, argenx accelerates the discovery of therapeutic antibodies that target specific disease pathways. The company's proprietary products, such as efgartigimod, are aimed at treating diseases where IgG antibodies are pathogenic. Argenx emphasizes innovation, science of collaboration, and patient-centric approaches in its mission to deliver life-changing medical solutions.

📋 Description

• Lead the commercialization data strategy capability supporting portfolio growth • Define the data acquisition roadmap, governance model, data product strategy, operating rhythms, and enterprise standards • 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 • Support the global insights community and global teams on data strategy, data acquisition, and capability building • Lead data acquisition strategy, including identification, evaluation, onboarding, rationalization, and lifecycle management of external and internal data sources • Establish and maintain commercialization data governance practices, including definitions, ownership, stewardship, quality standards, metadata management, access rules, privacy and compliance considerations, and issue-resolution processes • Create and manage a portfolio of commercialization data products supporting field execution, access strategy, self-serve analytics, AI-enabled use cases, and commercialization decision-making • Advance AI readiness by ensuring data assets are governed, high-quality, discoverable, documented, interoperable, and fit for analytical, automation, and AI-enabled workflows • Translate commercialization business needs into data requirements, product backlogs, delivery priorities, and adoption plans • Partner across patient, HCP, market access, and medical affairs evidence-generation stakeholders to align data standards, expectations, source strategies, and requirements • Support data fluency and adoption across commercialization teams • Manage key data vendor and partner relationships, including data acquisition agreements, data quality expectations, service levels, documentation, and performance management • Define and monitor measures of data value, quality, completeness, timeliness, usage, adoption, and readiness for advanced analytics and AI-enabled applications • Prioritize data and analytics investments based on commercialization priorities, AI readiness needs, feasibility, risk, and expected business impact • Serve as senior data strategy subject matter expert and trusted thought partner to commercialization leaders • Partner with Finance, Procurement, Legal, Compliance, and DT on data contracts, data rights, privacy considerations, and budget management

🎯 Requirements

• 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 • Deep expertise in commercialization data strategy, data acquisition, data management, data governance, data architecture, data products, and analytics enablement within the biopharmaceutical industry • Experience building reusable data products, data marts, curated datasets, semantic layers, or other trusted data assets • Deep appreciation for data quality, metadata, lineage, stewardship, access management, compliance, privacy, and governance foundations • Proven ability to assess, onboard, manage, and optimize external data vendors, data providers, and implementation partners • Executive-level communication, facilitation, and stakeholder leadership skills • Ability to work in a hands-on, builder environment while establishing structure, standards, and scalable ways of working • Strong enterprise business judgment and ability to make and guide investment trade-offs • Ability to drive data fluency, adoption, and behavior change across business teams • Good understanding of pharmaceutical commercialization, data privacy, compliance, regulatory considerations, and appropriate use of healthcare and commercial data • Familiarity with healthcare and pharmaceutical data sources, data providers, analytics platforms, cloud data environments, and data governance tools preferred • Start-up, launch, or capability-building experience preferred

🏖️ Benefits

• Short-term incentive programs • Long-term incentive programs • Retirement savings plans • Health benefits • Comprehensive benefits package • Equal consideration for employment without discrimination • Reasonable accommodation in completing the application, interviewing, or participating in the candidate selection process