AI Manager

About the Job

At Walmart Centroamerica, Artificial Intelligence is a strategic enabler that boosts productivity, strengthens decision‑making, and elevates both customer and associate experiences across the organization. We are seeking an AI Manager to lead the execution and governance of the AI strategy for Central America. This role is responsible for enabling, scaling, and operationalizing AI use cases that deliver measurable business value, while ensuring their responsible and sustainable adoption across the region.

This position emphasizes hands‑on delivery and business enablement, serving as a critical bridge between functional teams and AI capabilities. You will collaborate closely with business stakeholders, product teams, and data teams to translate real business challenges into AI‑enabled solutions, while ensuring adherence to enterprise standards, governance frameworks, and data practices.

As a regional leadership role, the position oversees execution, governance, and cross‑functional orchestration of AI initiatives in Central America. The AI Manager coordinates deliverables, manages stakeholders, and may lead a small regional AI team and/or a matrixed delivery squad. The role operates at both the execution and orchestration levels, accelerating AI adoption across priority business functions.

What Will You Do?

• Lead the execution and compliance of Walmart’s AI strategy for Central America by defining regional priorities, aligning with global standards, and ensuring that all AI initiatives are developed, deployed, and monitored responsibly to deliver measurable business value.
• Support the identification, prioritization, and execution of AI use cases aligned with business needs across functions such as operations, supply chain, people, finance, and merchandising.
• Coordinate and oversee job‑related activities by developing strong relationships with key stakeholders; supporting initiatives to address customer needs; defining goals and objectives; ensuring accountability; measuring performance; identifying improvement opportunities; and fostering adaptability and continuous learning.
• Partner with business teams to translate functional problems into AI‑enabled solutions with tangible and measurable outcomes.
• Accelerate AI adoption by embedding solutions into processes, decision rights, and day‑to‑day workflows, while monitoring and improving user adoption.
• Lead cross‑functional squads and, when applicable, directly manage a small team of AI developers; influence Directors and functional leaders without direct authority.
• Drive AI initiatives from pilot through production, ensuring meaningful business impact beyond proofs of concept.
• Act as a day‑to‑day AI partner for Directors and functional leaders, balancing enterprise AI standards with the realities and needs of local markets.
• Execute and uphold responsible AI practices in alignment with enterprise governance, data privacy, and security standards.
• Collaborate with data, technology, security, and legal teams to mitigate risks and ensure full compliance.
• Support AI literacy and capability building through enablement programs and training initiatives across technical and business teams.
• Track and report progress, adoption, and business value generated by AI use cases.
• Work with internal teams and external partners to continuously enhance AI solutions and capabilities.
• Provide supervision and development opportunities for associates through hiring, training, mentoring, task assignment, and recognition, while promoting a culture of belonging.
• Demonstrate a strong commitment to excellence by raising performance standards, seeking continuous improvement, showing curiosity and a growth mindset, seeking feedback, asking thoughtful questions, fostering innovation, and showing resilience in the face of setbacks.
• Ensure the compliance and continuous monitoring of success metrics (KPIs), including:
• % of prioritized use cases deployed to production and adopted
• Time‑to‑value (idea → pilot → production)
• Business value delivered (cost savings, efficiency gains, revenue uplift)
• Adoption and satisfaction by business users
• Compliance with Responsible AI standards and risk reductions
• Others

What Are We Looking For?

• 3+ years of experience leading and managing teams in AI or related areas and exposure to executive stakeholders (minimum requirement).
• Master’s degree in science, big data, AI, technology, or a related field (minimun requirement).
• Experience in analytics, data, machine learning, digital, AI, project management, or related roles, with direct involvement in solution delivery.
• Solid understanding of AI, data, and advanced analytics concepts, ranging from no‑code/low‑code solutions to advanced modeling.
• Experience with generative AI (LLMs, RAG, prompt design and evaluation), as well as working knowledge of MLOps/LLMOps (CI/CD, feature stores, model registries, deployment, monitoring, drift management, and cost/performance optimization).
• Proven ability to translate business problems into analytics or AI use cases.
• Strong stakeholder management skills, engaging both business and technical teams.
• Experience supporting AI or data initiatives in large‑scale or complex organizations.
• Understanding of end‑to‑end retail, supply chain, technology, or operational environments (preferred).
• 3+ years of experience in AI/ML/analytics or digital transformation, including at least 3 years leading initiatives or teams in complex, matrixed environments.

Familiarity with:

• AI & advanced analytics (machine learning, generative AI, advanced statistical methods)
• Enterprise and cloud‑based AI/analytics platforms
• Data platforms and BI tools: Power BI, Tableau, Looker
• Data privacy and model lifecycle management
• Cloud AI/ML environments: Azure ML, Google Cloud Platform
• Data platforms: Databricks, Snowflake, BigQuery
• DevOps tooling: GitHub/GitLab CI/CD, model registries, feature stores
• Orchestration and automation tools: Airflow, Azure Data Factory, MuleSoft, RPA technologies
• ML observability and data quality tooling
• Agile and product delivery methodologies

Additionally:

• Exceptional executive‑level communication skills, with the ability to translate complex AI concepts into clear business narratives, build cross‑functional buy‑in, and drive behavioral change and adoption across operations.
• Fluent English required.

Our Commitment to Inclusion & Accessibility

At Walmart de México y Centralamerica, we are committed to fostering a culture of belonging. We aim to attract and develop the best talent based on competencies, skills, and potential. We do not discriminate based on gender, age, ethnicity, physical appearance, marital status, health conditions (including HIV or any illness), socioeconomic status, disability, sexual orientation, gender identity, or gender expression.

As part of our hiring process, we do not request personal information, photographs, or medical tests of any kind. Personal data is not considered during interviews or final selection decisions. We are dedicated to providing a respectful, discrimination‑free, and harassment‑free workplace for all associates.

Walmart continuously works to improve accessibility. If you require a reasonable accommodation, please inform the Recruitment team.

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