AI Transformation Lead
valsea
| Company | valsea |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 15 May 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (teamtailor) |
Description
Valsea - Where Innovation Meets Entertainment At Valsea, we're shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more. Valsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers. We work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple - be best-in-class in everything we do. Despite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people. We provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting? What are we looking for now? A hands-on, results-driven AI Transformation Lead to turn AI from buzzword into measurable business output. Someone equally comfortable mapping a messy workflow on a whiteboard, building a working proof-of-concept with the latest LLM tooling, and presenting ROI numbers to senior leadership. We're not looking for a pure strategist or a pure builder; we want someone who can do both: identify where AI creates the highest leverage across our business, ship real use cases end-to-end, and drive adoption so teams actually use what gets built. AI is moving fast and so are we. You'll have the autonomy, the budget, and the executive backing to make AI a genuine source of competitive advantage across Valsea. What You'll do: 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 Valsea. 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. What You'll bring: 5+ years of experience in transformation, product, consulting, operations, or AI-focused roles, with at least 2 years actively shipping AI or automation solutions in a business setting. Strong working knowledge of the current AI landscape: LLMs, generative AI, RAG, agents, AI workflow and automation platforms, and the trade-offs between them.