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Data Architect – AI Governance
Join Creative TechArquiteta de Dados estruturando governança de IA na Join, empresa que cria projetos tecnológicos criativos. Definindo políticas, controles, riscos e conformidade automatizada para adoção responsável de IA.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Governance, including the development and implementation of policies, standards, and controls for AI solutions. Proficient in risk management, transparency, and compliance, with a strong focus on responsible AI practices and lifecycle management.
Highest-signal resume keywords
AI GovernanceRisk ManagementMLOpsPolicy as CodeTechnical Documentation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLYAMLJSONAPIsModel RegistriesVersioningImpact AssessmentGovernance ModelsData Protection
Soft Skills
Stakeholder EngagementTeam GuidanceAutonomy
Tools & Technologies
CI/CDObservabilityMonitoringGenerative AILanguage Models
Certifications & Qualifications
AI GovernanceRisk ManagementMLOpsLLMOpsInformation Security
Industry Keywords
Responsible AITransparencyExplainabilityHuman OversightCompliance
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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