Senior Data & AI Strategy & Governance Lead – Colombia & Brazil

Abacus is seeking a Senior Data & AI Strategy & Governance Lead to help shape and mature our Data & AI practice across LATAM.

This is a strategic leadership role focused on AI governance, risk management, and enterprise advisory, rather than hands-on model development. The ideal candidate will drive AI maturity, establish responsible AI frameworks, and serve as a trusted advisor to both internal teams and enterprise clients.

• Define and elevate Data & AI best practices across engineering and consulting teams.
• Establish scalable governance models aligned with enterprise and regulatory expectations.
• Conduct AI capability assessments and produce maturity gap analyses.
• Guide internal teams toward modern, state-of-the-art AI standards.

• Lead development of Responsible AI frameworks and governance playbooks.
• Define policies for model security, privacy, compliance, and risk management.
• Design guardrails for agentic AI and emerging AI architectures.
• Ensure alignment with global standards for ethical AI deployment.

• Act as a senior advisor in executive client engagements.
• Support pre-sales, architecture reviews, and transformation discussions.
• Present AI strategy and governance roadmaps to C-suite stakeholders.
• Help articulate compelling enterprise AI value propositions.

• Mentor Data & AI engineers and architects.
• Uplift technical maturity across projects and engagements.
• Contribute to internal thought leadership and AI capability building.

• 8–10 years of experience in Data, AI, Analytics, Enterprise Architecture, or AI Strategy.
• Strong hands-on understanding of AI governance, model risk management, and Responsible AI.
• Experience designing AI frameworks in regulated or enterprise environments.
• Executive communication and stakeholder management experience.
• Ability to translate complex AI concepts into business outcomes.
• Experience in consulting or large enterprise environments is highly preferred.

• Exposure to AI security, model validation, and compliance frameworks.
• Experience advising public sector or enterprise clients.
• Familiarity with global AI governance standards and regulatory trends.
• Cloud platform exposure (GCP, Azure, or AWS) is a plus.