AI Workflow Transformation Lead

Cint is moving from AI experimentation to enterprise-wide AI-enabled operating change.

The next phase is not about adding more tools or running isolated pilots. It is about helping functions change how work happens: where humans lead, where AI assists, where AI automates, and where autonomous AI can safely operate.

As AI Workflow Transformation Lead, you will work with teams across Cint to identify, shape, deliver and embed AI-enabled improvements. You will help turn business priorities and operational pain points into better workflows, smarter practices and measurable improvements in how work gets done.

This is a broad, hands-on transformation role. Some work may involve workflow redesign. Some may involve functional support, delivery coordination, requirements shaping, governance navigation, adoption support or helping teams move from experiment to scalable practice.

The purpose is simple: help Cint turn AI potential into practical operating improvement.

You will join the AI Transformation Office and report to the Director, Enterprise AI Transformation.

You will work closely with:

• Director, Enterprise AI Transformation — AI roadmap, priorities, governance, value tracking and executive reporting.

• AI Enablement & Adoption Lead — adoption, capability building, manager enablement, playbooks and behaviour change.

• AI/Data Architecture capability — architecture, data readiness, build / buy / configure recommendations and integration design.

• Business Technology — implementation, systems integration and operational handover.

• Legal, DPO, Info Sec, Infrastructure and Functional AI Domain Leads — governance, compliance, technical readiness, business ownership and adoption.

You will not own every system or every team. Your job is to create clarity, momentum and practical progress.

You will work with functions to understand their priorities, pain points and opportunities for AI-enabled improvement.

You will help assess where AI can improve speed, quality, productivity, decision-making, risk reduction, employee experience or operating leverage.

You will separate useful opportunities from interesting distractions. Not every AI idea needs a project plan and a parade.

You will help teams understand how work happens today and where it gets stuck: manual effort, handoffs, rework, bottlenecks, unclear ownership, data gaps or decision delays.

You will support future-state workflow design before technology is applied.

You will help clarify where work should remain human-led, where AI should assist, where automation makes sense and where review or escalation is needed.

You will help turn AI opportunities into practical plans with clear outcomes, owners, dependencies, risks and success measures.

Depending on the need, you may lead structured transformation work, support a function-led initiative, help shape requirements, coordinate stakeholders, unblock delivery or guide a team through governance.

You will work across functions, AI/Data Architecture, Business Technology, Legal, DPO, Info Sec, Infrastructure and Enablement to make sure AI-enabled improvements are practical, safe and supportable.

You will help ensure the right technical owners, implementation routes, governance gates, adoption plans and handover expectations are clear.

You will define success measures and track whether changes are creating real value.

You will help capture reusable patterns so Cint does not solve the same problem from scratch in every function.

You will partner with the AI Enablement & Adoption Lead to make sure new ways…