• Lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI • Focus on measurable business value: better workflows, faster cycle times, improved quality, stronger productivity • Manage the transformation portfolio and value framework, ensuring AI initiatives create measurable operating change • Accountable for ensuring AI transformation work has clear outcomes, owners, governance, dependencies, adoption plans and measurement • Prepare clear updates for executive leadership and make AI transformation visible, measurable and credible

• Lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI into the way Cint works • Focus on measurable business value: better workflows, faster cycle times, improved quality, stronger productivity, clearer governance • Own and maintain Cint’s enterprise AI transformation strategy and roadmap, aligned to business priorities • Manage the enterprise AI transformation portfolio and value framework • Define success measures, track impact and ensure AI initiatives create measurable operating change • Own the executive narrative for enterprise AI transformation and report to key stakeholders

• Lead the enterprise AI transformation agenda • Own and maintain Cint’s enterprise AI transformation strategy and roadmap • Manage the enterprise AI transformation portfolio • Ensure AI transformation work has clear outcomes • Own the executive narrative for enterprise AI transformation

• Support Enterprise Value Creation Initiatives • Help translate high-level strategic priorities into specific, measurable initiatives with clear owners, milestones, KPIs, dependencies, and expected business impact. • Build and maintain initiative trackers, value bridges, KPI dashboards, business cases, and executive reporting materials. • Partner with functional teams across Engineering, Product, GTM, Support, Professional Services, Customer Success, Finance, HR, and Legal to track progress, identify blockers, and support issue resolution. • Support regular operating rhythms, including leadership reviews, SteerCo materials, initiative readouts, and follow-ups from executive discussions. • Conduct analysis to size opportunities, assess benefits, track actual vs. planned impact, and identify areas requiring management attention. • Help Drive QAD’s AI Transformation Agenda • Support the identification, prioritization, and tracking of AI initiatives across functions, including Engineering productivity, Support diagnostics and resolution, Professional Services automation, GTM productivity, Finance / BI enablement, HR, and Legal. • Help structure AI use cases into clear problem statements, workflows, data / system requirements, expected outputs, adoption metrics, and business outcomes. • Define and track AI success metrics, including adoption, usage depth, cycle time reduction, productivity improvement, throughput, quality, backlog reduction, and financial impact. • Partner with business teams, technical teams, and external vendors to move AI initiatives from concept to pilot to scaled deployment. • Support executive-level reporting on AI transition progress, including Board / leadership updates, initiative status, benefits realization, risks, and key decisions needed. • Help establish practical measurement models that link AI usage to operational outcomes, not just activity. • Support Operating Model and SI Transition Work • Support enterprise operating model workstreams, including current-state diagnostics, future-state design, workflow decomposition, role / responsibility mapping, and implementation planning. • Help coordinate across internal teams, third-party advisors, and implementation / systems integration partners to ensure continuity between strategy, design, and execution. • Support the transition from high-level transformation design to detailed L3 / L4 workflow definition, requirements, blueprints, PRDs, and implementation roadmaps. • Track dependencies, risks, decisions, and follow-ups across internal teams and external partners. • Help ensure implementation partners are set up with the right context, documentation, governance, and success metrics to execute effectively in later phases. • Build Executive-Ready Analysis and Materials • Prepare concise, high-quality materials for senior leadership discussions, operating reviews, Board updates, and cross-functional working sessions. • Synthesize inputs from interviews, data, transcripts, functional plans, and project updates into clear insights and recommended actions. • Build Excel / Sheets-based analyses, KPI trees, initiative scorecards, benefit trackers, and simple financial models.