AI Enablement Lead

Job Summary

Volaris Group seeks a hands‑on leader to drive AI adoption across ~30 global vertical market software businesses, aiming to improve software development lifecycle processes with measurable results while respecting business unit autonomy.

Overview

Volaris Group is looking for a hands‑on leader to drive AI adoption across a growing global portfolio of approximately 30 vertical market software businesses. These businesses operate in security, supply chain, retail, and select markets across Africa, the Middle East, Asia, North America, and Europe.

You will lead the shift from agile or AI assisted models toward structured, AI‑directed operating models within the Software Development Lifecycle (SDLC). The focus is on measurable improvement—delivery velocity, quality, and productivity—while respecting the autonomy of each business unit.

• Lead structured AI adoption across approximately 30 software businesses, guiding each toward AI‑delegated SDLC execution
• Partner with senior leaders and R&D teams to embed AI into core development workflows—without imposing a one‑size‑fits‑all approach.
• Define and execute a portfolio‑wide AI adoption roadmap aligned with business priorities.
• Identify and prioritize high‑impact use cases that deliver real operational improvement.

• Facilitate knowledge sharing and reuse of successful approaches across the portfolio—making the best ideas easy to find and adopt.
• Develop targeted training for both technical and non‑technical teams.
• Mentor AI champions within each business unit so adoption is locally owned, not centrally dependent.
• Develop and maintain an AI playbook with practical templates, implementation guidelines, and lessons learned.

• Support the design and implementation of AI pilots, prototypes, and production solutions.
• Provide practical guidance on AI tooling, architecture, and integration strategies.
• Offer hands‑on support where technical resources are limited—rolling up your sleeves when needed.
• Establish appropriate guardrails covering responsible AI use, data privacy, and compliance.

• Track and report measurable outcomes, including productivity improvements, cycle time reduction, and revenue growth from AI oriented initiatives.

• Experience driving technology or methodology adoption across multiple teams or business units that you did not directly control.
• Experience implementing maturity frameworks, adoption roadmaps, or capability assessments.
• A track record of building coalitions with senior stakeholders such as GMs, R&D leads, product owners.
• Strong working knowledge of the current AI‑assisted development tooling landscape including code generation, agentic coding workflows, automated testing, and code review tools.
• Solid understanding of the software development lifecycle and how AI can meaningfully improve delivery workflows, not just augment individual tasks.
• Experience working across multiple geographies, cultures, and levels of organisational maturity. You understand that what works in one business unit may need to be adapted—or entirely rethought—for another.
• Ability to build repeatable enablement assets—playbooks, training, templates—that scale without requiring your direct involvement in every engagement.

• You take initiative and exercise good business judgment
• You learn and share
• You are confident working independently and remotely, knowing when to act and when to seek guidance.
• You have a passport and can travel for training, workshops, or business unit visits.

Regular

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