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ph3Role Details /h3pJob location: Portugal or Spain (Remote) /ppContract type: Contractor B2B /ppTarget start date: September 2026 /ppWorking hours: Full-time /ppCompensation: €48,000 to €60,000 per year /ph3What You’ll Architect /h3pAs a Data AI Product Owner, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision‑making. /ppThis role is both technical and consultative — perfect for someone who can combine data governance expertise, process design, and business engagement while leveraging emerging AI capabilities. /ph3Key Responsibilities /h3ulliDefine and industrialise Data Quality frameworks, including KPIs/KQIs, control catalogues, and remediation workflows /liliLead Data Quality governance processes, including detection forums, incident management, tracking, and resolution follow‑up /liliDesign, deploy, and optimise Agentic AI solutions to enhance business processes (e.g., automated documentation, control generation, incident pre‑triage, reporting) /liliContribute to change management deliverables and communication materials /liliDrive change management and user adoption by engaging Data Owners, Data Stewards, and IT stakeholders, delivering training and support /li /ulh3Who You Are /h3ulliYou are a business‑driven data professional who thrives at the intersection of data governance, quality, and business transformation /liliYou are comfortable operating between business and IT, translating data topics into clear, actionable insights /liliYou enjoy structuring and improving data processes, controls, and governance frameworks in complex environments /liliYou are confident engaging with senior stakeholders and driving alignment across teams /liliYou have a strong interest in leveraging AI (Agentic AI) to improve efficiency and automate business processes /liliYou are proactive in driving change and adoption, even in environments with resistance /liliYou communicate clearly and effectively in French and English, adapting your message to both technical and non‑technical audiences /li /ulh3Qualifications Experience /h3ulliProven experience as a Business Analyst in Data Governance and Data Quality /liliExperience within regulated environments (insurance or financial services preferred) /liliStrong understanding of Data Governance frameworks and Data Quality principles /liliExperience working with Data Governance / Data Quality platforms (e.g., Informatica IDMC, Collibra, DataGalaxy) /liliStrong change management capabilities, with the ability to educate, engage, and drive adoption among non‑technical stakeholders /liliProfessional proficiency in French (mandatory) and English /li /ulh3Technical Professional Skills /h3ulliHands‑on experience defining and implementing Data Quality controls and KPIs /liliPractical experience with Agentic AI tools, including prompting, designing, and optimising AI agents for business use cases /liliStrong analytical and process improvement mindset, with a focus on measurable outcomes /liliAbility to translate technical concepts into business value, metrics, and impact /liliExperience working across business and IT stakeholders /li /ulh3Nice to Have /h3ulliConsulting or client‑facing experience /liliExposure to data transformation programmes at scale /liliExperience in AI‑driven process automation initiatives /liliFamiliarity with data operating models and governance structures /li /ulh3What Makes You Successful /h3ulliYou focus on data as a business asset, ensuring quality, governance, and measurable impact /liliYou drive end‑to‑end ownership of data quality initiatives, from definition of controls to remediation and follow‑up /liliYou combine governance expertise with pragmatism, designing solutions that are adopted /liliYou are effective at engaging stakeholders and driving behavioural change, not just delivering analysis /liliYou leverage AI and automation to enhance processes, reduce manual effort, and improve efficiency /liliYou translate data topics into clear KPIs, business metrics, and value outcomes /liliYou are comfortable navigating regulated environments and aligning with governance standards /liliYou proactively identify gaps and continuously improve data quality frameworks and processes /li /ulh3What We Offer /h3ulliCompetitive salary aligned with your experience and the data market /liliMeal allowance: €10.20 per day /liliFlexible benefits plan /liliPrivate medical insurance /lili22 days of annual leave, increasing every 3 years (up to 25 days) /liliContinuous learning via KLX – Keyrus Learning Experience /liliA collaborative, international, and human‑centred work environment /li /ulh3Salary Ranges /h3ulliBottom of the range – you meet the core requirements and will need ramp‑up time and support /liliMiddle of the range – you are fully autonomous from Day 1 and deliver consistently /liliTop of the range – you are a reference for the role, mentor others, and raise the bar for the team /li /ulh3Responsible AI Recruitment /h3pAll stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. AI may occasionally be used internally by our team exclusively for note‑taking purposes during interviews. AI is never used to make decisions. /ppTo support accuracy and efficiency, AI is strictly prohibited to candidates during the recruitment process. Any use of AI assistance may result in immediate disqualification. /ph3Equal Opportunity Statement /h3pWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic. /p /p #J-18808-Ljbffr