AI Governance

Job not on LinkedIn

🕒 July 10

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ioasys

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

📣 Marketing

🏨 Hospitality

Consulting • Marketing • Hospitality

ioasys is an innovative company specializing in the development of digital solutions that enhance user experience through extraordinary digital products. With a team of over 400 professionals, ioasys focuses on creating efficient digital products, data-driven services, and learning experiences that drive business transformation and sustain relevance in the dynamic digital marketplace. The company emphasizes agile methodologies and continuous delivery to generate value for businesses while supporting the cultural and educational growth of teams and leaders.

📋 Description

• Define, review and maintain corporate AI Governance (Responsible AI) policies, guidelines and frameworks, aligned with business, technology, data and control functions; • Serve as the corporate reference for AI Governance, advising business areas on the appropriate use of AI models, including predictive models, generative models and intelligent automations; • Structure and sustain the governance model for the lifecycle of AI solutions, from ideation through continuous monitoring (model lifecycle management); • Define standards for development, validation, deployment and monitoring of AI models, including criteria such as explainability, fairness (algorithmic bias), robustness, reliability and observability; • Establish and guide the management of risks related to AI, including operational, reputational, ethical and regulatory risks; • Participate in defining and monitoring controls for the responsible use of AI, ensuring compliance with regulations (e.g., LGPD, GDPR, AI Act – where applicable) and internal policies; • Support the definition of adoption and prioritization criteria for AI initiatives considering business value, complexity, risk and area maturity; • Ensure traceability and documentation of AI models, including artifacts such as model cards, data lineage, versioning and validation criteria; • Act as the corporate focal point for AI topics, promoting alignment between business areas, IT, Data, Analytics, innovation and global teams; • Support projects from conception, ensuring alignment with governance principles and responsible AI usage; • Structure and run forums, committees and decision-making bodies related to AI, contributing analyses, recommendations and strategic guidance; • Promote the dissemination of a culture of responsible AI use, including awareness, training and safe adoption initiatives; • Ensure information security requirements are incorporated at all stages of the AI solutions lifecycle (Security by Design); • Support the security assessment of the AI supply chain, including pre-trained models, third-party datasets and external APIs; • Collaborate with Information Security to define incident response procedures for AI systems; • Support monitoring and control of unauthorized use of AI tools (Shadow AI); • Help structure AI Red Teaming processes and adversarial testing of AI models before production deployment; • Define, together with Information Security, access controls (RBAC), data protection in AI pipelines and data residency requirements.

🎯 Requirements

• AI Governance (Responsible AI) and associated frameworks; • Machine Learning and Generative AI model lifecycle management; • Risk management for AI-based solutions; • AI ethics, algorithmic bias and model explainability; • Data Governance applied to AI; • Information security and data privacy (LGPD, GDPR, etc.); • Experience structuring governance frameworks for AI or Advanced Analytics; • Familiarity with industry best practices such as DAMA-DMBOK (data context), NIST AI Risk Management Framework, OECD AI; • Principles / Responsible AI frameworks (Microsoft, Google or similar); • Knowledge of data architecture and AI platforms (e.g., Databricks, Azure ML, etc.); • Experience with agile methodologies and governance in digital environments; • Knowledge of BI, Analytics and Data Engineering.

🏖️ Benefits

• 💪 **Wellhub** to help you stay healthy • 🧠 **Emotional support**: 2 free monthly online therapy sessions on Zenklub • 🛍️ **Special discounts**: up to 35% on Alpa products • 🐕 **Pet leave**: 2 consecutive days off when adopting a pet • 🐈‍⬛ **Guapeco:** pet health plan • ❤️ **Life insurance** with broad coverage • 💡 **Internal talks and courses** delivered by our experts • 📚 **English and Spanish courses** to boost your language skills • 🕗 **Flexible hours** to balance personal and professional life • 👕 **No dress code** – be yourself! • ✈️ **OnHappy** for amazing trips • 🎂 **Day Off** on your birthday • 🪙 **Internal currency** with a store of company products