Manager, Gbs - Finance Intelligence Ai

The Kraft Heinz Company; Xico; On-site; MXN 1,000,000 - 1,600,000; Full time

Job summary

The Kraft Heinz Company is hiring a Manager, Finance AI Architecture — Deployment & Enablement in Mexico City. You will own deployment pipelines for Finance AI agents, scale capabilities across pillars, and collaborate with Infrastructure & Agents to deliver reliable solutions to business users.

You will lead enablement content, manage one Senior Analyst, and coordinate with IT, Security, and Internal Audit on governance. A data/AI deployment background is required.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Finance, or related field; advanced degree a plus.
• 5+ years in data engineering, analytics, or technical program management.
• Experience deploying or scaling AI/ML tools for business users.
• Able to read Snowflake pipelines and Python code.

Responsibilities

• Own the deployment pipeline for Finance AI agents and tools across pillars.
• Build the Finance AI enablement layer with user guides and training content.
• Manage intake and release processes for deployment requests.
• Maintain the Finance AI knowledge base and version tracking.
• Track adoption metrics and feed signals to Architecture Lead.
• Support change management for Finance teams adopting AI tools.
• Manage and develop one Senior Analyst.
• Coordinate with IT, Security, and Internal Audit on governance.

Skills

Deployment pipelines

AI adoption enablement

Change management

Cross-functional collaboration

Mentoring

Finance-business translation

Data governance

SOX controls understanding

Education

Bachelor’s degree in CS/Engineering/Finance

Advanced degree a plus

Tools

Snowflake

Python

MLOps workflows

Job description

Description

Manager, Finance AI Architecture — Deployment & Enablement at a glance...

You will own the deployment and organizational scaling side of the Finance AI Architecture pillar at Kraft Heinz. Your job is to take what the Infrastructure & Agents team builds — agents, pipelines, shared frameworks — and get them working reliably across the wider Finance organization. That means deployment engineering, adoption enablement, change management support for Finance teams, and ensuring that Finance AI outputs are documented and accessible beyond the core team that built them. You manage one Senior Analyst, work peer-to-peer with the Infrastructure & Agents Manager, and report to the Global Fin Capability Lead in Mexico City.

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
• 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 builder
• I have experience managing deployment pipelines, release processes, or MLOps workflows for data or AI products in an enterprise environment
• I know how to drive adoption of technical tools with non-technical users — I have built enablement content that people actually use, not just documentation that gets ignored
• I understand data governance, access controls, and the audit documentation requirements of deploying AI in a SOX-regulated finance environment
• I have managed or mentored at least one person — I develop people through the work, not through separate development conversations
• I translate between technical teams and finance business users without losing meaning in either direction
• I have a Bachelor’s degree in Computer Science, Engineering, Finance, or a related field; an advanced degree is a plus

Location(s)

Mexico City - Antara Tower A - 5th Floor - Local Office