Associate Director, AI Product Management in Barcelona

€63,800.00 - €118,400.00

At Novartis, we're committed to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range for role:

• Barcelona: 63,800.00 - 118,400.00 EUR Annual

The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Location: Barcelona

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.

Hallmark of the role is the ability to navigate complexity and uncertainty, maintaining a strategic bias towards decisive action. 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

• Contribution to measurable process improvement and value realization against agreed product objectives.
• Percentage of product launches meeting predefined success criteria (e.g., 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.
• Stakeholder feedback indicating collaboration and consistency with business objectives within a Line Function or cross-functional objectives

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