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Performance Analytics & GenAI Manager

Summary

Lead AI-driven analytics and GenAI initiatives at Novartis, turning data into business impact by designing, deploying, and scaling AI solutions while ensuring responsible use and adoption across teams.

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

See also