Product Manager/Product Owner Enterprise Analytics/AI/ML (AI/ML)

Location: Morristown, New Jersey, or Cambridge, Massachusetts; onsite

Company

hirify.global is an R&D-driven biopharmaceutical company developing medicines and vaccines while advancing digital transformation through data and AI.

What you will do

• Own the full product lifecycle for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting, from discovery and requirements through delivery and scaling.
• Define the product vision, strategy, roadmap, and prioritized backlog for a connected GTN analytics ecosystem.
• Lead the modernization of fragmented GTN processes using scalable, AI-ready data foundations and enterprise data standards.
• Prioritize retrospective insights, predictive modeling, forecasting, reconciliation, and monitoring use cases based on business value, feasibility, and data readiness.
• Coordinate Finance, Pricing, Access Analytics, Brand, Digital, Data Engineering, Data Science, UX, and AI stakeholders.
• Lead vendor evaluations, RFPs, Systems Integrator selection, responsible AI implementation, KPI definition, and value realization.

Requirements

• Bachelor’s degree and 7+ years of experience in digital product management, including enterprise-scale analytics platforms, data products, or AI/ML solutions.
• 5+ years leading complex digital transformation programs in large, matrixed organizations.
• Experience translating ambiguous business problems into structured roadmaps and scalable technical solutions.
• Experience with multi-vendor delivery, RFP processes, Systems Integrator selection, and external partner management.
• Strong knowledge of data architecture, data mesh, data lakes, cloud platforms, predictive modeling, forecasting, and reconciliation workflows.
• English is required; French and other languages are a plus.

Nice to have

• Experience in pharmaceutical commercial analytics.
• Experience with Snowflake, Databricks, EPM platforms such as Anaplan or Adaptive Insights, natural language interfaces, or ML-enabled forecasting tools.

Culture & Benefits

• Work in the Global Digital GBU Advanced Analytics & AI Team through cross-functional delivery pods.
• Access mentorship and training from leaders and academics in machine learning.
• Receive health and wellbeing benefits, including healthcare, prevention, and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Opportunities for promotion, lateral career moves, and international development.