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6 дней назад

Product Line Owner for US Commercial Data Foundations (AI)

206 250 - 297 916$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Product Line Owner for US Commercial Data Foundations (AI): Building a scalable, trusted, and AI-ready commercial data ecosystem on AWS and Snowflake with an accent on data product thinking, domain-driven design, and data governance. Focus on modernizing legacy platforms, integrating complex internal and third-party data, and enabling AI/ML-ready assets for omnichannel engagement, field force optimization, and product launches.

Location: Cambridge, MA or Morristown, NJ; hybrid schedule with 3 days per week onsite required. US and Puerto Rico residents only.

Salary: $206,250–$297,916.66 per year.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve people’s lives.

What you will do

  • Lead the strategy, architecture, and delivery of scalable, governed US commercial data foundations on AWS and Snowflake.
  • Define the approach for integrating internal, third-party, and syndicated data across a complex multi-brand omnichannel environment.
  • Build trusted, AI-ready data assets supporting omnichannel engagement, field force optimization, and product launch readiness.
  • Modernize and harmonize the data platform landscape through automation, observability, data quality, and SLA frameworks.
  • Partner with analytics, AI, commercial, digital, go-to-market, global, and enterprise architecture teams.
  • Lead and develop a cross-functional team of product owners, analysts, and operations professionals.

Requirements

  • Bachelor’s degree in Computer Science, Business Information Systems, Healthcare Information Systems, or a related field; a master’s degree is preferred.
  • 7+ years of experience leading data strategy and architecture initiatives, including data-as-a-product thinking, domain-driven design, and modern data engineering.
  • Hands-on experience with AWS and Snowflake, cloud-native platform modernization, and integration of complex internal and third-party data sources.
  • Experience leading large-scale digital and data transformations and developing high-performing technical and leadership teams.
  • Strong collaboration and influencing skills across global, cross-functional business and technical teams.
  • Knowledge of semantic layers, AI/ML concepts, data governance, and compliance frameworks including GDPR, HIPAA, and CCPA; life sciences or pharmaceutical experience is preferred.

Culture & Benefits

  • Work alongside teams focused on science, medicine, technology, and operational innovation.
  • Access career growth opportunities through promotions and lateral moves.
  • Receive a comprehensive rewards package and employee benefit programs.
  • Healthcare, prevention, wellness, and family benefits are available, including at least 14 weeks of gender-neutral parental leave.
  • Contribute to systems and strategies supporting life-changing treatments and more sustainable business operations.

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