Yoni C.

• Defined AI strategy for ADQ portfolio companies, crystallising the vision, value drivers, and enablers to align with corporate growth trajectories

and investor priorities.

• Partnered with C-level executives to identify pain points, develop AI roadmaps, deliver self-service analytics capabilities and secure executive

sponsorship, embedding data & AI into corporate strategies for growth, efficiency, and compliance.

• Designed and prioritised high-impact AI use cases with quantified ROI, including: predictive maintenance (estimated savings of 29M AED

annually), AI sales forecasting (estimated 23M AED revenue uplift annually), generative AI bots, and agentic AI frameworks streamlining

operations and enhancing decision-making.

• Led data maturity assessments across data governance, platform and operating models and translated findings into target-state architectures,

tooling strategies, and operating model recommendations for scalable AI deployment.

• Positioned AI as a core lever of value creation within ADQ’s portfolio, ensuring that AI transformation strategies not only solved immediate

operational challenges but also enhanced long-term investor returns and competitiveness.

• Led strategic collaboration with C-suite stakeholders (CEO, Group Transformation & Revenue Directors) to define a bolt-on acquisition roadmap, post-merger integration approach, and long-term value creation plan across a portfolio of 17 PE backed businesses, targeting a significant EBITDA uplift.

• Conducted deep financial and commercial modelling by harmonising disparate datasets across sales, marketing, and GTM channels to identify synergy levers, route-to-market optimisation opportunities, and cross-/up-sell strategies.

• Partnered with business unit Managing Directors to develop 3-year strategic plans including detailed business cases, payback models, org design, international expansion, tech enablement, and operational efficiency initiatives.

• Prepared and presented board-level materials for PE shareholders, combining top-down strategy with bottom-up financial modelling to communicate EBITDA growth forecasts and value creation initiatives across the group.

• Supported end-to-end execution of two tech-focused acquisitions, from deal origination and financial/vendor due diligence to SPA support, integration planning, operating model design, and tech-enabled growth strategy.

Partnered with C-suite executives to address fragmented data from multiple acquisitions and define a single source of truth for commercial

performance.

• Centralised GTM reporting, gathering cross-functional requirements and aligning on core metrics to drive transparency, accuracy, and scalability.

• Designed and deployed executive dashboards (RevOps, Marketing, Sales, CS, Board-level) that improved data integrity and enabled faster,

evidence-based decisions.

• Streamlined reporting processes and introduced advanced analytics foundations, reducing manual effort and enabling future adoption of AI-

driven insights.

• Built data harmonisation playbooks to integrate future acquisitions seamlessly, ensuring consistent reporting, unified metrics, and scalable

growth.