Cint
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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 redesigning how work happens: where humans lead, where AI assists, where AI automates, and where autonomous AI can safely operate.
As Director, Enterprise AI Transformation, you will lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI into the way Cint works. Your focus will be measurable business value: better workflows, faster cycle times, improved quality, stronger productivity, clearer governance and board-ready evidence of impact.
This is a senior transformation role for someone who can turn AI ambition into operating change.
Where the role sits
You will report to the Chief People & AI Transformation Officer and lead the enterprise AI transformation agenda across Cint.
You will lead a small, high-impact ATO team and work closely with:
AI Workflow Transformation Lead — workflow redesign, co-build sprint delivery and practical delivery coordination.
AI Enablement & Adoption Lead — AI literacy, manager capability, adoption, playbooks and behaviour change.
AI/Data Architecture capability — critical technical dependency for architecture, data readiness, build / buy / configure recommendations and integration design.
Business Technology, Infrastructure, Legal, DPO and InfoSec — implementation, operational handover, security, data governance, GDPR, model risk and compliance gates.
Functional AI Domain Leads — business-side ownership, use-case identification, local prioritisation and adoption.
AI Transformation Steering Group — executive alignment, investment decisions, escalation and enterprise-level prioritisation.
What you will own
Enterprise AI strategy and roadmap
You will own and maintain Cint’s enterprise AI transformation strategy and roadmap, aligned to business priorities and executive direction.
You will identify where AI can create value across productivity, quality, speed, cost-to-serve, risk reduction, employee experience and operating leverage. You will decide which opportunities enter the transformation portfolio, how they are sequenced, and where Cint should focus first.
ATO operating model
You will own the AI Transformation Office operating model, including how work is prioritised, governed, delivered, measured and escalated.
You will ensure the ATO operates through three clear pathways:
Enable — broad adoption, manager tools, playbooks, training and reusable practices.
Guide — decision frameworks, guardrails, prioritisation, standards and governance.
Co-build — deeper support for complex, high-value, cross-functional or higher-risk workflows.
Your job is to make sure each AI opportunity gets the right level of ATO support based on value, complexity and risk.
Portfolio prioritisation and value realisation
You will manage the enterprise AI transformation portfolio and value framework.
You will prioritise initiatives based on business value, feasibility, risk, readiness and scalability. You will define success measures, track impact and ensure AI initiatives create measurable operating change — not just activity, usage or enthusiasm.
You will challenge, reshape or stop work that is not delivering value.
Transformation delivery outcomes
You will be accountable for ensuring AI transformation work has clear outcomes, owners, governance, dependencies, adoption plans and measurement.
You will hold the AI Workflow Transformation Lead accountable for practical workflow outcomes and the AI Enablement & Adoption Lead accountable for adoption, capability and behaviour-change outcomes.
You will surface blockers quickly and escalate decisions where delivery risk threatens business value.
Executive alignment and reporting
You will own the executive narrative for enterprise AI transformation.
You will prepare clear updates for the Chief People & AI Transformation Officer, CEO, Steering Group and Board: what has shipped, what value has been created, what is blocked and what decisions are needed.
You will make AI transformation visible, measurable and credible at leadership level.
AI operating standards and reusable patterns
You will define common standards for AI transformation work, including intake, prioritisation, value cases, governance checkpoints, measurement and handover. You will ensure successful workflow patterns are captured, reused and scaled across the organisation.
Critical technical dependency
The ATO can enable, guide and co-build AI-enabled ways of working, but it cannot deliver sustainable enterprise impact without committed technical architecture and implementation capacity.
You will work closely with Business Technology to ensure priority workflows have clear technical ownership, data readiness, integration paths, security input, governance gates, support models and production handover.
Capability, adoption and culture
You will work with the AI Enablement & Adoption Lead and People team to make AI transformation a capability, not a series of projects.
You will help leaders understand their role in sponsoring AI-enabled change, support adoption rituals and success sharing, and ensure the human side of transformation is treated as core delivery work.
Who you will be / Requirements
Transformation Leadership: Demonstrated experience driving large-scale tech or operational transformations, specifically focusing on bringing legacy organizations forward into the modern tech era.
Industry Experience: Experience in AI-native companies or organizations recognized as early, aggressive adopters of AI
No Coding Required, High Literacy Mandatory: You do not need to be a software engineer, but you must possess a deep, practical understanding of how AI works, its terminology, and its architectural ecosystem.
Hands-on Experimentation: You are someone who actively uses and experiments with AI. You should have firsthand experience building prompts, developing skills, or deploying AI agents.
Strategic Tech Fluency: Ability to confidently partner with deeply technical leaders, understanding the practical "domino effects" of implementing AI (e.g., “when you prompt X, Y happens; when deploying this agent, Z is the infrastructure impact”).
Tooling Familiarity: Seamless comfort working in modern tech environments (e.g., GSuite, Slack) is expected.
Core Competencies & Soft Skills
Navigating Ambiguity: Comfort operating as a pioneer in an undefined, rapidly evolving space. You can build structure out of chaos.
Change Management & Resilience: Proven ability to navigate organizational resistance. You know how to get traditional business units and deeply technical engineering teams aligned and enthusiastic about change.
Stakeholder Management & Critical Thinking: Sharp judgment and exceptional communication skills. You can manage complex relationships with senior European stakeholders and technical partners alike.
What success looks like
Within the first 3 months, you will have established the enterprise AI transformation roadmap, ATO operating model, portfolio view, governance cadence, prioritisation framework and first wave of priority initiatives.
Within 6–9 months, Cint should have visible AI-enabled workflow improvements in priority areas, with clear adoption data, measurable value and board-ready evidence of progress.
Over time, you will help Cint move from scattered AI experimentation to AI-enabled operating leverage: redesigned workflows, stronger capability, clearer governance, better tooling decisions and measurable improvements in how work gets done.
Our Values
Collaboration is our superpower
Innovation is in our blood
We do what we say
We are caring
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.
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