Data Architect – AI Governance

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Join Creative Tech

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

Consulting • Marketing • Software

Join Creative Tech is a company specializing in the conception and development of software solutions, focusing on quality and outsourcing services. They create user-centered solutions that offer innovative value while ensuring a strong return on investment through agile methodologies and rigorous testing processes. Additionally, Join Creative Tech provides qualified IT professionals to enhance service quality and productivity for their clients.

📋 Description

• Structure and evolve the Directorate's AI Governance model • Define policies, guidelines, standards, procedures and responsibilities for the development, procurement and use of AI solutions • Incorporate governance requirements into the lifecycle of AI solutions • Establish criteria and control points for the evaluation and approval of initiatives • Create and maintain an inventory of models, agents, assistants, use cases, knowledge bases and AI systems • Classify initiatives according to impact, criticality and risk level • Conduct or support risk and impact assessments related to AI • Define requirements for transparency, documentation, traceability, explainability, security, human oversight and accountability • Provide guidance on the use of generative AI, language models, assistants, agents and RAG-based applications • Support the evaluation and procurement of models, platforms, tools and AI vendors • Define metrics to track adoption, risks, outcomes and the effectiveness of AI Governance • Establish mechanisms for logging, analyzing and handling incidents and deviations related to AI • Produce policies, guides, opinions, checklists, documentation templates and assessment instruments • Advise teams, managers and partners on applying AI Governance requirements • Work closely with Information Security, Privacy, Legal, Engineering, Operations, Project Management and business areas • Carry out awareness, training and guidance actions on responsible AI use • Translate AI Governance policies and requirements into technical rules and verifiable criteria • Design policies, controls and automated compliance tests as code • Define governance gates according to risk and criticality • Support the integration of controls into development pipelines, CI/CD, MLOps and LLMOps • Automate checks for documentation, traceability, security, privacy, quality and performance • Establish versioning standards for models, prompts, knowledge bases, policies and configurations • Define mechanisms for the automatic generation and preservation of compliance evidence • Support monitoring of performance, drift, biases, security, costs and behavior of solutions • Define alerts and responses for policy violations and breaches of criteria • Maintain traceability between policy, implemented control and produced evidence • Create reusable governance controls and components • Identify and prioritize opportunities for AI application • Guide teams to consider AI from the conception of initiatives • Define evaluation criteria for value, risk, cost, impact and sustainability • Enable responsible experimentation with controls proportional to risk • Create standards and reusable components to accelerate safe AI adoption • Promote balance between innovation, agility, security and accountability • Monitor results and benefits of the AI First transformation

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Computer Engineering, Software Engineering, Data Science, Statistics, Engineering, Business Administration with an emphasis on technology, or related fields • Other degrees may be considered given proven experience in technology governance, risk management, data or AI • Senior or specialist profile, with autonomy to design models and guide teams • 5 years of experience in technology, data, AI, governance, risk or digital transformation • Experience defining or implementing policies, standards, processes, controls or governance models • Experience in multidisciplinary projects and stakeholder engagement • Experience producing technical documentation, opinions, risk matrices and assessment instruments • AI governance and responsible AI principles • Risk management and impact assessment of AI systems • Lifecycle of Machine Learning and generative AI solutions • Language models, assistants, agents and RAG • Transparency, explainability, fairness, robustness and human oversight • Privacy, data protection and security applied to AI • MLOps, LLMOps, CI/CD, observability and monitoring • Policy as Code, Compliance as Code, Security as Code and Governance as Code • Model registries, versioning, lineage and evidence management • Evaluation of platforms, models, tools and AI vendors • Functional knowledge of Python, SQL, YAML, JSON, APIs and code repositories • Ability to translate policies and requirements into applicable rules, tests and controls • Postgraduate degree in AI, Data Science, IT Governance, Information Security, Risk Management, Privacy, Digital Law or related areas (desired) • Courses or certifications in AI Governance, responsible AI, risk management, MLOps, LLMOps, security, privacy or cloud (desired) • Direct experience in AI Governance, responsible AI, automation of controls, Policy as Code, Compliance as Code, Security as Code or Governance as Code (differential)

🏖️ Benefits

• Fully remote – Work from the safety and comfort of your home • Flexible working hours • Birthday day off — with a surprise! • Support for training and certifications • Access to Alura • Partnership with FIAP • Employee referral bonus • Health insurance • Dental plan • Vittude – mental health platform • Wellhub – for your physical health • New Value – discount coupons • SESC