AI Transformation Lead

Dinotech Ltd

AI Transformation Lead at Dinotech turning AI buzzwords into measurable business output. Collaborate to identify high leverage AI opportunities and drive real use cases end-to-end.

Posted 6/5/2026full-timeSan Giljan • 🇲🇹 MaltaSeniorWebsite

About the role

Key responsibilities & impact

Own the AI roadmap end-to-end; make build, buy, and prioritisation calls based on ROI, technical feasibility, and business impact
Map current workflows across the business (operations, customer support, marketing, finance, product, engineering) to identify bottlenecks, repetitive tasks, and high-leverage opportunities for AI
Ship real AI use cases end-to-end; from problem framing and prototype through to production deployment, monitoring, and iteration
Drive adoption across teams through hands-on workshops, training, documentation, and embedded support; make sure tools actually get used, not just delivered
Measure impact rigorously: establish baselines, define KPIs (time saved, cost reduced, quality improved), and report results back to leadership and the teams themselves
Establish governance foundations; usage policies, data handling rules, model evaluation, security guardrails, and vendor management without slowing the business down
Continuously evaluate the AI landscape (models, agents, automation platforms, copilots) and translate it into pragmatic recommendations for the company
Partner with engineering, product, and functional leaders to embed AI inside the systems people already use, rather than bolting on yet another tool
Build business cases and ROI models that justify investment and clearly communicate what's working, what's not, and what to do next
Share knowledge across the company and help raise the AI literacy of the whole organisation

Requirements

What you’ll need

5+ years of experience in transformation, product, consulting, operations, or AI-focused roles
Strong working knowledge of the current AI landscape: LLMs, generative AI, RAG, agents, AI workflow and automation platforms, and the trade-offs between them
Hands-on capability; you don't need to be a senior engineer, but you can build a working prototype, design and iterate prompts and run a meaningful evaluation
Process and workflow design: you can sit with a team, map how work actually happens, spot the bottlenecks, and redesign the process around AI rather than sprinkling it on top
A ROI mindset: you think in baselines, business outcomes, and measurable impact; not demos and pilot decks
Change management instincts: you know that adoption is harder than building, and you have the patience and communication skills to bring people along
Stakeholder management across levels; comfortable presenting to executives, running workshops with operators, and pairing with engineers in the same week
A strong communicator who can translate AI concepts for non-technical audiences and business needs for technical ones
Comfortable with ambiguity: when requirements are unclear, you ask the right questions, align with stakeholders, and find a way forward
Organised and proactive: you take ownership and keep things moving
Proficiency in professional-level English communication, both written and verbal

Benefits

Comp & perks

Hybrid working model or fully remote
Innovative international company that uses cutting-edge tech equipment
Collaborative teams and agile multicultural environment
Competitive salary with flexible working hours
Private health insurance for you and your family
Corporate events throughout the year
Ongoing learning and professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI roadmapAI use casesprototype developmentAI workflowautomation platformsprocess designROI modelsKPI definitiondata handling rulesmodel evaluation

Soft Skills

change managementstakeholder managementcommunication skillsproblem framingorganisational skillsproactive mindsethands-on capabilitypatienceadaptabilityknowledge sharing