Performance Analytics & GenAI Manager

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