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Head of Data

Viva Aerobus
Monterrey, Mexico
Hybrid

About this role

About the Role A strategic, business-oriented Head of Data will lead and scale Viva Aerobus's enterprise Data & AI capabilities, enabling data-driven decision making and advancing GenAI and Agentic AI initiatives across the organization.

What You'll Do

  • Translate business strategy into Data & AI capability roadmaps and ensure execution.
  • Lead and operationalize the enterprise Data & AI Hub & Spoke operating model.
  • Build, lead, and scale the central Data & AI organization.
  • Establish and enforce pragmatic Data Governance and Responsible AI frameworks.
  • Prioritize and deliver high-impact analytics, GenAI, and AI-driven use cases with measurable business value.
  • Partner closely with Technology and business leaders to evolve the company’s Data & AI ecosystem.
  • Drive adoption of Data & AI capabilities across business domains.
  • Promote a data-driven culture and AI literacy throughout the organization.
  • Establish standards for data products, AI models, governance, monitoring, and deployment practices.

What We're Looking For

  • 12+ years of professional experience, including significant experience leading Data & Analytics organizations.
  • Proven experience leading enterprise-wide data transformation initiatives.
  • Strong background in Data Strategy, Data Governance, Analytics, AI/ML, and Cloud Data Platforms.
  • Experience operating within matrixed or Hub & Spoke organizational models.
  • Exposure to GenAI, AI enablement, and Agentic AI initiatives.
  • Ability to influence executive stakeholders and drive cross-functional alignment.
  • Strong business acumen with the ability to translate technical capabilities into measurable business outcomes.
  • Experience leading multidisciplinary teams in complex organizations.
  • Advanced English required.

Compensation & Benefits

  • Opportunity to lead the company’s enterprise Data & AI transformation strategy.
  • High visibility and collaboration with executive leadership.
  • Exposure to strategic initiatives involving AI, analytics, and digital transformation.
  • Dynamic, fast-paced, and highly collaborative environment.
  • Opportunity to build and scale a modern Data & AI organization with enterprise-wide impact.
  • Competitive compensation package and benefits.

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