8 candidats consultent actuellement

Data & AI Product Owner - French Speaker
Portugal, LisbonnePortugal, Lisbonne

Data & AI Product Owner - French Speaker

Date de publication 28.06.2026

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

Job location: Portugal or Spain (Remote)
Contract type: Contractor B2B
Target start date: August or September 2026
Working hours: Full-time
Compensation: €48,000 to €60,000 per year

What You'll Architect

As a Data & AI Product Owner, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

This 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.

Key responsibilities include:
  • Define and industrialise Data Quality frameworks, including KPIs/KQIs, control catalogues, and remediation workflows
  • Lead Data Quality governance processes, including detection forums, incident management, tracking, and resolution follow-up
  • Design, deploy, and optimise Agentic AI solutions to enhance business processes (e.g., automated documentation, control generation, incident pre-triage, reporting)
  • Contribute to change management deliverables and communication materials.
  • Drive change management and user adoption by engaging Data Owners, Data Stewards, and IT stakeholders (DSO, Application Owners), developing capabilities on new processes and tools, delivering training, providing hands-on support, and overcoming resistance to change.


Who You Are
  • You are a business-driven data professional who thrives at the intersection of data governance, quality, and business transformation.
  • You are comfortable operating between business and IT, translating data topics into clear, actionable insights.
  • You enjoy structuring and improving data processes, controls, and governance frameworks in complex environments.
  • You are confident engaging with senior stakeholders (Data Owners, Stewards, IT) and driving alignment across teams.
  • You have a strong interest in leveraging AI (Agentic AI) to improve efficiency and automate business processes.
  • You are proactive in driving change and adoption, even in environments with resistance.
  • You communicate clearly and effectively in French and English, adapting your message to both technical and non-technical audiences.


What You Bring

Qualifications & Experience
  • Proven experience as a Business Analyst in Data Governance and Data Quality
  • Experience within regulated environments (insurance or financial services preferred)
  • Strong understanding of Data Governance frameworks and Data Quality principles
  • Experience working with Data Governance / Data Quality platforms (e.g., Informatica IDMC, Collibra, DataGalaxy)
  • Strong change management capabilities, with the ability to educate, engage, and drive adoption among non-technical stakeholders
  • Professional proficiency in French (mandatory) and English.

Technical & Professional Skills
  • Hands-on experience defining and implementing Data Quality controls and KPIs
  • Practical experience with Agentic AI tools, including prompting, designing, and optimising AI agents for business use cases
  • Strong analytical and process improvement mindset, with a focus on measurable outcomes
  • Ability to translate technical concepts into business value, metrics, and impact
  • Experience working across business and IT stakeholders

Nice to Have
  • Consulting or client-facing experience
  • Exposure to data transformation programmes at scale
  • Experience in AI-driven process automation initiatives
  • Familiarity with data operating models and governance structures


What Makes You Successful
  • You focus on data as a business asset, ensuring quality, governance, and measurable impact.
  • You drive end-to-end ownership of data quality initiatives, from definition of controls to remediation and follow-up.
  • You combine governance expertise with pragmatism, designing solutions that are adopted - not just defined.
  • You are effective at engaging stakeholders and driving behavioural change, not just delivering analysis.
  • You leverage AI and automation to enhance processes, reduce manual effort, and improve efficiency.
  • You translate data topics into clear KPIs, business metrics, and value outcomes.
  • You are comfortable navigating regulated environments and aligning with governance standards.
  • You proactively identify gaps and continuously improve data quality frameworks and processes.


What We Offer at Keyrus Portugal
  • Competitive salary aligned with your experience and the data market
  • Meal allowance: €10.20/day
  • Flexible benefits plan
  • Private medical insurance
  • 22 days of annual leave, increasing every 3 years (up to 25 days)
  • Continuous learning via KLX - Keyrus Learning Experience
  • A collaborative, international, and human-centred work environment


How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role - not different job titles.
  • Bottom of the range
    You meet the core requirements and will need ramp-up time and support.
  • Middle of the range
    You are fully autonomous from Day 1 and deliver consistently.
  • Top of the range
    You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate's own skills, experience, judgment, and expertise.

Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

Equal Opportunity Statement

We 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.

Areas de expertise Data Advisory Locations Portugal, Spain Remote status Fully Remote Yearly salary €48,000 - €60,000

Nous nous efforçons de disposer d'informations fiables concernant chaque emploi. Si nous nous sommes trompés ou si vous avez rencontré des problèmes techniques, n'hésitez pas à nous en faire part.

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