AI Workflow Transformation Lead at Cint

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Transformation, Operational Excellence, Process Improvement, AI Transformation, Workflow Redesign, Stakeholder Management, Programme Delivery, SaaS Operations, Change Management, Requirement Shaping, Governance Navigation, Value Tracking, Facilitation, Commercial Judgement, Digital Transformation, Data Readiness

Industry

Software Development

Description

Job Description 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. Where the role sits 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, InfoSec, 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. What you will do Identify and shape opportunities 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. Redesign work where needed 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. Support delivery in the right way 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. Connect business, technical and governance partners You will work across functions, AI/Data Architecture, Business Technology, Legal, DPO, InfoSec, 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. Measure value and capture learning 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. Support adoption You will partner with the AI Enablement & Adoption Lead to make sure new ways of working are understood, adopted and embedded. You will gather feedback, identify adoption blockers and help teams improve as they go. Qualifications What we are looking for You will likely bring: Experience in business transformation, operational excellence, process improvement, programme delivery, consulting, AI transformation, SaaS operations or a similar field. Strong ability to understand, map and improve business workflows or operating practices. Experience turning ambiguous business problems into clear opportunities, plans and outcomes. Comfort working across business, technology, data, automation, legal, risk or compliance stakeholders. Practical understanding of AI tools, automation, workflow tooling or digital transformation. Good delivery discipline without unnecessary bureaucracy. Commercial judgement and a clear link between workflow change and business value. Strong communication, facilitation and stakeholder management skills. Experience in SaaS, technology, digital platforms, consulting or high-growth global businesses is strongly preferred. How you work You are structured, practical and comfortable with ambiguity. You are curious about how work really happens, not just how people say it happens. You can bring order to messy problems without creating theatre or bureaucracy. You influence without authority, communicate clearly and help busy teams make decisions. You care about shipped outcomes, measurable value and adoption that sticks. You bring low ego, high standards and enough humour to survive cross-functional transformation work. Additional Information What success looks like Within the first 3 months, you will have built a clear understanding of priority functional opportunities, helped shape the first wave of AI-enabled improvement work, and established practical ways of working for opportunity assessment, workflow redesign, delivery support and measurement. Within 6–9 months, Cint should have visible AI-enabled improvements in priority areas, with clear adoption data, value tracking and reusable learning. Over time, you will help Cint build a repeatable transformation capability: one that helps functions identify high-value opportunities, redesign work intelligently, apply AI where it makes sense and prove the impact. Our Values Collaboration is our superpower We uncover rich perspectives across the world Success happens together We deliver across borders. Innovation is in our blood We’re pioneers in our industry Our curiosity is insatiable We bring the best ideas to life. We do what we say We’re accountable for our work and actions Excellence comes as standard We’re open, honest and kind, always. We are caring We learn from each other’s experiences Stop and listen; every opinion matters We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

Responsibilities

Lead the transition from AI experimentation to enterprise-wide operational change by redesigning workflows and identifying AI-enabled improvements. Coordinate between business, technical, and governance partners to ensure AI tools are practically implemented and deliver measurable value.