Job Description

Business Data & AI Lead

The Data Business & AI Lead is responsible for defining and executing the data and AI strategy across an assigned multi-market portfolio, with a strong focus on Latin America, ensuring that data is governed, trusted, accessible, and activated as a competitive asset that powers commercial decision-making, operational excellence, and AI-driven capabilities at scale.

This role serves as the single point of accountability for data strategy, governance, quality, and AI enablement, translating global data domain strategies into effective local execution while ensuring market-specific needs and insights are reflected back into the enterprise-wide data agenda.

The role ensures that commercial, marketing, and digital teams operate with harmonized, high-quality, and activation-ready data, and that AI initiatives are built on robust foundations capable of delivering trusted, scalable, and compliant intelligence.

The focus markets present a uniquely complex data landscape, shaped by diverse regulatory environments across multiple countries, fragmented market structures, different levels of data maturity, heterogeneous retail and healthcare ecosystems, and a broad range of external data providers with varying quality and coverage. This role brings strategic clarity and operational discipline to that complexity by establishing a unified regional data vision while navigating local market realities.

The Data Business & AI Lead bridges global standards with local execution, ensuring that data investments are coordinated rather than duplicated, and that all markets benefit from enterprise governance, shared best practices, and scalable AI-enabled capabilities.

This role requires a leader who combines strategic vision with strong execution discipline — someone equally comfortable presenting a data roadmap to regional leadership, resolving cross-market data quality escalations, shaping AI use cases with data science teams, engaging with local data vendors, and coaching market stakeholders on governance standards.

The role operates with an AI-first mindset, understanding that every governance decision, quality improvement, and data product either enables or constrains the organization’s ability to scale AI successfully.

Scope

Global

Key Responsibilities

• Serve as the senior Data & AI leader for the assigned multi-market portfolio, contributing to enterprise-wide strategy and ensuring local priorities and market realities are reflected in global decisions.
• Architect and champion intelligent information flows, including semantic standards and data interpretation approaches that enable a responsive, insight-driven enterprise.
• Guide business units in defining key business outcomes and redesigning processes with an outcome-back, AI-native approach, ensuring that structured and unstructured data flows are connected effectively to support business value.
• Translate global data domain strategies across Market, Customer, eCommerce, Product, and Consumer into effective execution within focus markets, adapting governance frameworks, taxonomies, and standards to regional realities while maintaining enterprise consistency.
• Champion a data-as-an-asset and AI-first culture, driving adoption, literacy, and mindset change across business and functional teams.
• Drive strong governance, quality, and stewardship practices to ensure local and regional data is trusted, compliant, and ready for activation across commercial and digital use cases.
• Enable harmonized, high-quality, and activation-ready data across commercial, marketing, and digital teams to support better decision-making and operational excellence.
• Partner with global, regional, and local stakeholders to align data priorities, resolve issues, and accelerate the delivery of scalable data and AI capabilities.
• Support the design and operationalization of AI use cases by ensuring the availability of fit-for-purpose, semantically clear, and governed data foundations.
• Manage the complexity of multi-country data environments, including differing regulations, varying market maturity, fragmented ecosystems, and diverse external data providers.
• Help ensure that data investments across markets are coordinated, scalable, and aligned with enterprise objectives and standards.
• Build strong collaboration across business, digital, commercial, analytics, and data teams to strengthen execution and accelerate value creation.
• Provide strategic guidance and operational leadership in data governance, data quality improvement, and AI enablement across the assigned portfolio.
• Engage with external data providers and market stakeholders as needed to improve data quality, coverage, usability, and strategic alignment.

Required Qualifications

• Proven experience in data strategy, data governance, analytics, business intelligence, or AI enablement roles.
• Strong experience working across multi-market or regional environments, ideally within Latin America
• Demonstrated ability to translate enterprise strategy into pragmatic local or regional execution.
• Experience working with complex data ecosystems, including multiple data sources, external providers, and varying data quality standards.
• Strong stakeholder management skills, with the ability to work across business, digital, commercial, and technical teams.
• Experience leading or enabling data-driven transformation, governance programs, or AI-related initiatives.
• Strong communication and influencing skills, including the ability to engage senior leadership.
• Ability to operate strategically while maintaining strong execution focus.

Preferred Qualifications

• Experience in commercial, marketing, customer, product, consumer, or market data domains.
• Familiarity with regulated and fragmented market environments.
• Experience supporting or shaping AI-enabled products, use cases, or operating models
• Knowledge of data stewardship, taxonomy management, semantic standards, and activation-ready data principles.
• Experience working with global and regional operating models in matrix organizations.

Key Competencies

• Strategic thinking
• Execution excellence
• Data governance and quality leadership
• AI-first mindset
• Cross-functional collaboration
• Stakeholder management
• Change leadership
• Problem solving in complex environments
• Commercial acumen
• Regional leadership and coordination

Período de aplicación:
07 al 21 de Julio Código de referencia: 876327
División: Consumer Health Ubicación: Mexico : Ciudad de México : Ciudad de México
Área funcional: Asuntos Jurídicos, Patentes, Conformidad Normativa y Seguros Grado de posición: VS 2
Tipo de empleo: Permanente Tiempo de trabajo: FULL TIME - HIBRIDO