Define the long-term product roadmap and financial objectives.
Proactively integrate AI/ML capabilities and track KPIs to ensure alignment with business outcomes.
Oversee the end-to-end portfolio, identifying innovation opportunities and managing the evolution of complex products from ideation to retirement.
Architect a seamless user experience for internal scientists and clinicians by anticipating market shifts and emerging technology trends.
Act as a strategic liaison between business functions and R&D.
Manage a complex ecosystem of internal teams, SaaS vendors, and academic partners.
Drive a culture of data-informed decision-making, continuous learning, and cross-functional collaboration.
Develop multi-year forecasts and strategically allocate resources to maximize portfolio ROI.
Coach and mentor product managers and engineers.
Qualifications
Advanced degree (Master/PhD) in a Science or Technology discipline; PhD preferred.
10+ years in Product Management or Business Analysis, with at least 4 years in Pharma/Biotech Biometrics domain and 4+ years in a leadership role managing interdisciplinary teamsinterdisciplinarytechnical teams.
Deep understanding of the drug development lifecycle, GxP compliance, FAIR data principles, and data privacy (GDPR).
Fluency in modern software architecture (APIs, Cloud, Microservices) and a solid grasp of Data Science and AI/ML concepts.
Exceptional ability to influence senior leadership and align diverse groups (scientists, engineers, and executives) toward a unified goal.
Experience leading technical teams (engineers and product managers).