Enterprise Data Strategy Lead

Location: Morristown, New Jersey, United States

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines for patients worldwide.

What you will do

• Define and deliver enterprise data strategy and multi-year roadmaps across R&D, Medical Affairs, Commercial, Market Access, Launch Excellence, Discovery, and Safety.
• Partner with cross-functional stakeholders to identify, assess, and prioritize data requirements and use cases, including patient journey mapping, competitive intelligence, provider segmentation, forecasting, and launch activities.
• Evaluate commercial and real-world data sources, including claims, EMR/EHR, CRM, specialty pharmacy, reference laboratories, disease registries, patient data, wearables, and competitive intelligence platforms.
• Conduct enterprise-wide data and analytics assessments and gap analyses against business requirements.
• Facilitate collaboration and investment governance with Digital and Procurement to optimize data investments, avoid duplication, and maximize value.
• Lead Agile and matrixed teams while engaging senior stakeholders across global and local markets.

Requirements

• Bachelor’s degree in quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or a related field.
• 4+ years of pharmaceutical or biopharmaceutical industry experience, including substantial experience in go-to-market insights and analytics, Launch Excellence, or Market Access.
• 2+ years of experience in data strategy, go-to-market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership.
• Experience conducting data needs assessments, gap analyses, and strategic roadmap development.
• Understanding of commercial data ecosystems, market access analytics, regulatory considerations for real-world evidence, and data models or standards such as OHDSI OMOP.
• Ability to lead through influence and translate complex commercial questions into insights, strategic priorities, and investment decisions.

Nice to have

• Advanced degree and therapeutic-area expertise in immunology, rare disease, hematology-oncology, Type 1 diabetes, transplant, or specialty care.
• Familiarity with Snowflake, AWS SageMaker, SQL, Python, and AI-assisted coding tools.
• Experience with AI/ML/LLM applications, predictive modeling, NLP for unstructured data mining, and signal detection.
• Knowledge of platforms such as IQVIA, STATinMED, Merative, TriNetX, AlphaSense, Clarivate, Evaluate, or Citeline.

Culture & Benefits

• Supportive, future-focused environment centered on scientific rigor, ethical data use, and innovation.
• Opportunities for professional growth through promotion or lateral career moves, including international opportunities.
• Health and wellbeing benefits, including healthcare, prevention, and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Opportunity to support systems and strategies used across a global biopharmaceutical business.