6 дней назад
Product Line Owner for US Commercial Data Foundations (AI)
206 250 - 297 916$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
11 дней назад
Senior Director, Data Engineering (AI Data Platform)
182 300 - 291 500$
11 дней назад
Technical Product Manager (AI)
136 200 - 204 200$
10 дней назад
Associate Director - Information Systems (Clinical Data Hub)
171 556 - 232 105$
10 дней назад
Senior Product Manager, Data Management
180 000 - 270 000$
12 дней назад
Principal Data Engineer (Biotech)
159 422 - 215 689$
12 дней назад
Engineering Manager (Data Platform)
225 000 - 260 000$