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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in generative AI technologies, risk management, and cloud platforms, with a strong focus on developing business cases and KPIs. Capable of collaborating with cross-functional teams to ensure compliance and optimize AI solutions within a corporate strategy framework.
Highest-signal resume keywords
Generative AI KnowledgeCloud Platform ExperienceRisk Management ExpertiseBusiness Case DevelopmentAI Governance Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technology StrategyArchitectureIT GovernancePortfolio ManagementKPI DevelopmentBusiness AnalysisRisk Management FrameworksFinOps PracticesAI Regulations KnowledgeAutomation Standards
Soft Skills
Analytical SkillsClear Communication
Tools & Technologies
AWSGCPWatsonx.governanceWatsonx OrchestrateDatabricks
Certifications & Qualifications
FinOps CertificationCloud CertificationRisk Management Certification
Industry Keywords
Financial SectorRegulated EnvironmentsISO/IEC 42001NIST AI Risk Management FrameworkEU AI Act
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Monitor generative AI technologies, vendors, models, platforms, and practices, including AI agents and automation
- Conduct benchmarks and proofs of concept to assess solution fit for the company’s context
- Prepare analyses and recommendations for leadership and business teams
- Build and maintain the AI Automation Center of Excellence (CoE) roadmap, aligned with corporate strategy
- Prioritize requests based on value, effort, risk, cost, and reusability
- Support the development of business cases, including ROI, NPV, and payback analyses
- Define architecture, development, model usage, and agent lifecycle standards
- Structure a catalog of solutions and agents, along with classification and evaluation criteria
- Ensure compliance with internal security, data protection, and LGPD policies
- Monitor and optimize platform, license, model consumption, and cloud infrastructure costs
- Create showback and chargeback mechanisms, budgets, and consumption alerts
- Support vendor negotiations and proposal evaluations
- Identify and address technical, regulatory, ethical, reputational, and security risks
- Collaborate with Information Security, Legal, Compliance, and Risk teams
- Maintain the risk matrix and mitigation plans
- Define and monitor KPIs for adoption, value generation, efficiency, quality, cost, and risk
- Maintain dashboards and periodic reports for executive leadership
- Serve as the point of contact (POC) for establishing the transition/acquisition plan within the Automation and AI CoE
Requirements
What you’ll need- Bachelor’s degree in Technology, Engineering, Business Administration, or a related field
- Experience in technology strategy, architecture, IT governance, or portfolio management
- Solid knowledge of generative AI, LLMs, agents, and automation
- Experience with cloud platforms (AWS or GCP) and FinOps practices
- Experience in risk management and governance frameworks
- Strong analytical skills and proficiency in developing KPIs and business cases
- Clear communication skills with technical and executive audiences
- Experience with AI governance and orchestration platforms, such as watsonx.governance, watsonx Orchestrate, and Databricks
- Knowledge of AI regulations and frameworks, such as ISO/IEC 42001, the NIST AI Risk Management Framework (AI RMF), and the EU AI Act
- Certifications in FinOps, cloud, or risk management
- Experience in the financial sector or regulated environments
- Advanced English proficiency
Benefits
Comp & perks- Medical and dental insurance
- Meal allowance – Ticket
- Life insurance
- Home office allowance
- Profit-sharing bonus (PLR)
- Private pension plan
- Childcare assistance
- Wellhub and TotalPass memberships
- Hybrid work model: two days per week in the office