Sr. Digital Product Manager, Forecasting
Amgen
September 06, 2026
Full-time
Remote friendly (United States)
Worldwide
IT
Role: Senior Digital Product Manager, Forecasting at Amgen, leading the development and implementation of innovative digital products to enhance forecasting, planning, and decision-making across business units. Responsibilities include translating digital strategies into product roadmaps, understanding customer workflows, framing complex problems as product opportunities, and collaborating with cross-functional teams to deliver scalable analytical solutions. The role involves integrating advanced analytics, AI, and automation, ensuring product usability, monitoring performance, and driving adoption to impact business outcomes. Stakeholder management and mentoring are key components.
Qualifications: Bachelor's degree with 8+ years or equivalent experience in digital product management, with at least 2 years managing teams or projects. Deep understanding of data science, analytics, and decision-support tools, ideally within biotech, pharma, or healthcare contexts. Proven ability to lead data-intensive products from discovery to scaling, with strong stakeholder influence, communication, and leadership skills.
Preferred: Experience in predictive analytics, optimization, machine learning, and analytical product lifecycle management; familiarity with enterprise data platforms and digital architecture; experience in complex planning environments such as pharma, biotech, or healthcare.
High-Value: Focus on decision science, forecasting, planning, and analytical product development in a biotech setting. Collaboration across R&D, Commercial, Supply Chain, and Finance; remote/hybrid work; no specific travel requirement indicated.
Qualifications: Bachelor's degree with 8+ years or equivalent experience in digital product management, with at least 2 years managing teams or projects. Deep understanding of data science, analytics, and decision-support tools, ideally within biotech, pharma, or healthcare contexts. Proven ability to lead data-intensive products from discovery to scaling, with strong stakeholder influence, communication, and leadership skills.
Preferred: Experience in predictive analytics, optimization, machine learning, and analytical product lifecycle management; familiarity with enterprise data platforms and digital architecture; experience in complex planning environments such as pharma, biotech, or healthcare.
High-Value: Focus on decision science, forecasting, planning, and analytical product development in a biotech setting. Collaboration across R&D, Commercial, Supply Chain, and Finance; remote/hybrid work; no specific travel requirement indicated.