Associate Director, AI Product Management

Overview

In this role you will drive AI-powered product development, launches, and ongoing refinements to meet user needs and business goals. You will partner with line-function Product Owners and cross-functional teams to translate vision into a deliverable product roadmap, while enabling data-driven decisions and ethical AI deployment. You operate in a dynamic environment, guiding teams through complexity to quickly realize product value. This position offers a meaningful chance to shape AI-enabled healthcare solutions at Novartis.

Compensaciones / Beneficios

• flexible and hybrid working options
• minimum 14 weeks paid parental leave
• insurance plans
• retirement plans
• wellbeing resources
• global recognition programs

Responsabilidades

• Support product management of one or more products depending on scale and complexity
• Coordinate development, launch, and continuous improvement of AI-powered products with business owners and cross-functional teams
• Translate product vision, strategy, and roadmap to ensure alignment with user needs and business objectives
• Manage product lifecycle including MVP development, scaling, and refinement via data-driven decision-making (technical, adoption and value metrics)
• Track product budget and resource allocation to maximize ROI and maintain stakeholder engagement
• Collaborate with DDIT and external parties to ensure seamless product delivery and transition to maintenance

Requisitos principales

• Bachelor in Computer Science, Engineering, Business, or related field
• Master’s degree in a relevant field (desirable)
• 5+ years in life science sector and product management experience
• Demonstrated experience in development, launch, and scaling of products from conception to market
• Strong stakeholder management, process design, and value realization capabilities
• Experience supporting product strategy, development, and continuous improvement
• Experience in both startup and enterprise environments
• Stakeholder engagement
• Learning agility
• Change management
• Artificial Intelligence (AI)
• Biostatistics
• Data Governance