Finance Artificial Intelligence (Ciudad de México)

Finance Artificial Intelligence (Ciudad de México)

10 ago
|
Kraft Heinz
|
Ciudad de México

10 ago

Kraft Heinz

Ciudad de México

Job Description
What’s on the menu?
- Own the deployment pipeline for Finance AI agents and tools — taking validated, production-ready components from the Infrastructure & Agents team and deploying them reliably to Finance business users across all pillars
- Build and own the Finance AI enablement layer — user guides, onboarding materials, training content, and the documentation that lets Finance teams use AI tools without requiring the Architecture team in the room
- Own the Finance AI intake and release process — manage the queue of deployment requests from domain pillars, sequence releases, and coordinate with the Infrastructure & Agents Manager on readiness gates
- Build and maintain the Finance AI knowledge base — architecture decision records, prompt libraries, agent catalog, and the living documentation of what is deployed, where, and at what version
- Track and report adoption metrics across deployed Finance AI tools — usage, active users, error rates, and escalations — and feed that signal back to the Architecture Lead and domain pillar teams




- Support change management for Finance teams adopting AI tools — work with domain pillar leads to identify adoption blockers and build targeted interventions that are not just more training decks
- Manage and develop one Senior Analyst — set delivery standards, run reviews, and build someone who can own deployment tracks independently
- Coordinate with IT, Information Security, and Internal Audit on deployment governance — access controls, data classification, and the change management artifacts auditors will ask for

Recipe for Success — apply now if this sounds like you
- I have +5 years of experience in data engineering, analytics, or technical program management — with at least 1–2 years deploying or scaling AI/ML or analytics tools to business users
- I am technical enough to understand what I am deploying — I can read Snowflake pipelines, Python code, and agent configurations — even if I am not the primary build

📌 Finance Artificial Intelligence (Ciudad de México)
🏢 Kraft Heinz
📍 Ciudad de México

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