17 часов назад
Product Manager/Product Owner — Enterprise Analytics/AI/ML
178 500 - 257 833$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Manager/Product Owner — Enterprise Analytics/AI/ML (AI/ML and GTN analytics): Leading the development and scaling of AI-powered US Gross-to-Net analytics products for insights, forecasting, reconciliation, and decision support with an accent on enterprise data transformation, predictive modeling, and responsible AI. Focus on defining product strategy and roadmaps, coordinating cross-functional delivery, selecting vendors, and measuring business impact across complex regulated data environments.
Location: Morristown, NJ or Cambridge, MA; onsite. U.S. and Puerto Rico residents only.
Salary: $178,500–$257,833.33 gross annual
Company
is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve patients’ lives.
What you will do
- Own the end-to-end lifecycle of GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting.
- Define product vision, strategy, roadmap, and prioritized backlogs for an integrated GTN analytics ecosystem.
- Modernize fragmented GTN processes using scalable, AI-ready data foundations and enterprise data standards.
- Prioritize use cases including retrospective insights, predictive modeling, forecasting, reconciliation, and monitoring.
- Partner with Finance, Pricing, Access Analytics, Brand, GTMC, Digital, and market teams to align products with governance and business needs.
- Lead vendor evaluations, RFPs, Systems Integrator selection, product scaling, KPI measurement, and responsible AI implementation.
Requirements
- Bachelor’s degree and 7+ years of digital product management experience delivering enterprise analytics platforms, data products, or AI/ML solutions.
- 5+ years leading complex digital transformation programs in large, matrixed organizations.
- Experience translating complex business problems into product roadmaps and scalable technical solutions.
- Experience managing multi-vendor delivery environments, RFP processes, Systems Integrators, and external partners.
- Knowledge of data mesh, data lakes, cloud platforms, enterprise data architecture, forecasting, scenario modeling, variance decomposition, and reconciliation.
- English is required; French and other languages are optional.
Nice to have
- Pharmaceutical commercial analytics experience.
- Experience with Anaplan, Adaptive Insights, or similar EPM platforms.
- French or other additional languages.
Culture & Benefits
- Work in cross-functional pods with Digital, Data Engineering, AI, Responsible AI, and business teams.
- Access mentorship and training from machine learning leaders and academics.
- Opportunities for career growth through promotion or international and lateral moves.
- Health and wellbeing benefits, including healthcare, prevention and wellness programs.
- At least 14 weeks of gender-neutral parental leave.
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