Performance Analytics & GenAI Manager
About this opportunity
Performance Analytics & GenAI Manager#LI-HybridLocation: Ciudad de México, MéxicoRelocation 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.
Performance Analytics & GenAI Manager#LI-HybridLocation: Ciudad de México, MéxicoRelocation 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 ResponsibilitiesLead implementation of local AI and generative AI roadmap, from requirements to adoption and scalingTranslate business needs into scalable analytics and AI solutions with reusable components and standardized approachesPartner with business and technical teams to design, prioritize, and deliver high-impact AI use casesCoordinate training and enablement activities to drive adoption of analytics and AI solutions across stakeholdersTrack use case performance and measure business impact, including efficiency gains and improved decision-makingEnsure compliance with data governance, security, and Responsible AI standards across all initiativesSupport planning, execution, and documentation of analytics and generative AI initiatives at local levelEssential RequirementsBachelor’s degree in Business Administration, Industrial Engineering, Data Science, or a related fieldProven experience delivering analytics, machine learning, or generative artificial intelligence solutions in business environmentsExperience managing end-to-end machine learning lifecycle, including development, deployment, and monitoringStrong understanding of artificial intelligence governance, including model documentation and responsible use principlesExperience automating processes using data and artificial intelligence to improve efficiency and productivityAbility to communicate complex technical concepts clearly to non-technical stakeholdersDesirable RequirementsExperience with digital transformation or business process improvement initiativesKnowledge of generative artificial intelligence tools, prompt design, or model operations
Job details
How this role compares
Computed from every other active Marketing role in our database, not just this employer's listings.
We currently track 265 comparable Manager Marketing roles across 60 biopharma companies.
Salary context
63 of 265 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 265 comparable roles
+ 36 more countries
Seniority mix
265 of 265 peers have a known seniority level
Therapeutic area mix
75 of 265 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.