Job Description Summary
Performance Analytics & GenAI Manager
#LI-Hybrid
Location: Ciudad de México, México
Relocation Support: This role is based in Ciudad de México, México. Novartis is unable to offer relocation support: please only apply if accessible.
Drive AI-driven transformation at Novartis. As a Performance Analytics & GenAI Manager, you will turn data and generative AI into real business impact—bridging strategy and execution to improve decision-making, accelerate adoption, and boost productivity across teams.
Job Description
Performance Analytics & GenAI Manager
#LI-Hybrid
Location: Ciudad de México, México
Relocation Support: This role is based in Ciudad de México, México. Novartis is unable to offer relocation support: please only apply if accessible.
Drive AI-driven transformation at Novartis. As a Performance Analytics & GenAI Manager, you will turn data and generative AI into real business impact—bridging strategy and execution to improve decision-making, accelerate adoption, and boost productivity across teams.
Key Responsibilities
• Lead implementation of local AI and generative AI roadmap, from requirements to adoption and scaling
• Translate business needs into scalable analytics and AI solutions with reusable components and standardized approaches
• Partner with business and technical teams to design, prioritize, and deliver high-impact AI use cases
• Coordinate training and enablement activities to drive adoption of analytics and AI solutions across stakeholders
• Track use case performance and measure business impact, including efficiency gains and improved decision-making
• Ensure compliance with data governance, security, and Responsible AI standards across all initiatives
• Support planning, execution, and documentation of analytics and generative AI initiatives at local level
Essential Requirements
• Bachelor’s degree in Business Administration, Industrial Engineering, Data Science, or a related field
• Proven experience delivering analytics, machine learning, or generative artificial intelligence solutions in business environments
• Experience managing end-to-end machine learning lifecycle, including development, deployment, and monitoring
• Strong understanding of artificial intelligence governance, including model documentation and responsible use principles
• Experience automating processes using data and artificial intelligence to improve efficiency and productivity
• Ability to communicate complex technical concepts clearly to non-technical stakeholders
Desirable Requirements
• Experience with digital transformation or business process improvement initiatives
• Knowledge of generative artificial intelligence tools, prompt design, or model operations
Skills Desired
Agility, Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall Model