Performance Analytics & GenAI Manager

Posted 3 Days Ago
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Hiring Remotely in Insurgentes, Acateno, Puebla, MEX
Remote
Senior level
Biotech • Pharmaceutical
The Role
Lead local AI and generative-AI roadmap, translate business needs into scalable analytics/AI solutions, partner with stakeholders to deliver use cases, drive adoption via training, track performance and business impact, and ensure data governance and Responsible AI compliance.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree in Business Administration, Industrial Engineering, Data Science, or related field
  • Proven experience delivering analytics, machine learning, or generative AI solutions in business environments
  • Experience managing end-to-end machine learning lifecycle, including development, deployment, and monitoring
  • Strong understanding of AI 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
  • Experience with digital transformation or business process improvement initiatives
  • Knowledge of generative artificial intelligence tools, prompt design, or model operations

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

Novartis Insights

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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