Barcelona#LI-Hybrid The Associate Director, AI Product Manager supports the development, launch, and continuous improvement of AI-powered products, ensuring they align with user needs and business objectives.This role involves working in tandem with Line Function(s) Product Owner(s) (i.e. product leader in the beneficiary Line Function) and a team to translate product vision & strategy, manage the product lifecycle, motivate the product team & support product success through data-driven decision-making and ethical considerations in AI deployment.This role requires continuously scanning the external environment, challenging team approaches, and making swift, informed decisions that contribute to realization of the product value proposition. Job Description The Associate Director, AI Product Manager supports the development, launch, and continuous improvement of AI-powered products, ensuring they align with user needs and business objectives. This role involves working in tandem with Line Function(s) Product Owner(s) (i.e. product leader in the beneficiary Line Function) and a team to translate product vision & strategy, manage the product lifecycle, motivate the product team & support product success through data-driven decision‑making and ethical considerations in AI deployment. This role requires continuously scanning the external environment, challenging team approaches, and making swift, informed decisions that contribute to realization of the product value proposition. Responsibilities Support product management of one or more products depending on scale and complexity Coordinate the development, launch,



and continuous improvement of AI-powered products in collaboration with business owners and cross-functional teams Translate the product vision, strategy, and roadmap, ensuring alignment with user needs and business objectives Manage the assigned product lifecycle, including MVP development, scaling, and continuous refinement through data-driven decision-making (technical, adoption and value metrics) Track product budget and resource allocation to maximize ROI and impact, while maintaining stakeholder engagement and prioritizing feature development. Collaborate with DDIT and external parties to ensure seamless product delivery and transition to the maintenance phase Key Performance Indicators Contribution to measurable process improvement and value realization against agreed product objectives. user adoption rates, performance metrics) User satisfaction scores and product adoption rates Percentage of prioritized features successfully implemented and positively received by users & stakeholders Timely milestone delivery Resource utilization rates and efficiency improvements. Bachelor’s degree in Computer Science, Engineering, Business, or a related field. Master’s degree in a relevant field. Languages: Excellent English required (oral & written)



Experience/Professional requirement 5+ years in life science sector and desirable previous experience in a product management role. Demonstrated experience contributing to the 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. Ideal candidates will have a blend of experience working in both start-up environments and enterprise settings, bringing a versatile perspective to product development and management. We also offer a variety of competitive benefits inkindto help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeingresourcesand global recognition programs. In addition, we provide versátil and hybrid working options, where possible, anda minimum of14 weekspaid parental leave. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Readour brochure to learn more about our global total rewards offering: Skills Desired Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

📌 Associate Director, AI Product Management (Barcelona)
🏢 Novartis
📍 Barcelona