Manager, Finance AI Deployment & Enablement

About the role

This role owns the deployment and organizational scaling side of the Finance AI Architecture pillar at Kraft Heinz. It takes the agents, pipelines and shared frameworks built by the Infrastructure & Agents team and makes them work reliably across the wider Finance organization. The manager reports to the Global Fin Capability Lead in Mexico City and manages one Senior Analyst.

Key responsibilities

• Own the deployment pipeline for Finance AI agents and tools, moving validated, production-ready components to Finance business users across all pillars
• Build and own the enablement layer: user guides, onboarding materials, training content and documentation so Finance teams can use AI tools without the Architecture team present
• Own the intake and release process: manage the queue of deployment requests, sequence releases and coordinate readiness gates with the Infrastructure & Agents Manager
• Maintain the Finance AI knowledge base: architecture decision records, prompt libraries, agent catalog and versioned documentation of what is deployed where
• Track and report adoption metrics (usage, active users, error rates, escalations) and feed them back to the Architecture Lead and domain teams
• Support change management with domain pillar leads, identifying blockers and building targeted interventions beyond training decks
• Manage and develop one Senior Analyst, setting delivery standards and running reviews
• Coordinate with IT, Information Security and Internal Audit on governance, access controls, data classification and audit documentation

Required profile

• 5+ years 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
• Experience managing deployment pipelines, release processes or MLOps workflows in an enterprise environment
• Experience driving adoption of technical tools with non-technical users and building used enablement content
• Understanding of data governance, access controls and audit documentation for AI in a SOX-regulated finance environment
• Experience managing or mentoring at least one person
• Bachelor's degree in Computer Science, Engineering, Finance or a related field; an advanced degree is a plus

Required skills

• Able to read Snowflake pipelines, Python code and agent configurations
• Ability to translate between technical teams and finance business users