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Cloud Risk Management Professional

2 months ago

Charlotte, North Carolina, United States NTT DATA Full time
About the Role

We are seeking a highly skilled Cloud Risk Management Professional to join our team at NTT DATA. As a key member of our organization, you will play a critical role in maturing our technology risk management strategy for Cloud-based solutions.

Key Responsibilities
  • Develop and present compelling views on Cloud transformation and risk management activities based on Cloud strategy, with expertise in understanding business impacts of technology decisions as they relate to cloud adoption and enablement, specifically risk management and security.
  • Provide reviews on risk issue remediation plans and provide feedback on strategy, governance, measurable benefits, metrics, scope and reasonableness.
  • Apply relevant risk/control/security domain and change knowledge/experience to ensure the timely and effective identification, assessment and escalation of risks in a transparent manner.
  • Assist with the implementation of corporate policies, risks and controls that are mainly preventative in nature which can be either automated or manual and align with all risk lines of defense.
  • Working knowledge of Google Cloud Platform service offerings, Generative AI use cases, control and hardening requirements of Gen AI services, i.e. Vector Search, Gecko Text Embedding, Gemini-pro API, Vertex AI Agent Builder, Document AI API, Vertex AI Model Garden, DialogFlow, etc. and application consuming Gen AI services.
  • Working knowledge of cloud controls and third-party risk management frameworks, i.e. NIST AI RMF, MITRE Atlas, OWAP Top 10 for LLM, CSA CCM, etc.
  • Working knowledge of Gen AI Risk and governance requirements, controls, i.e. review of policies, procedures, standards, design tailored governance processes and controls specific to Generative AI.
  • Working knowledge of cloud services and tools, i.e. Services (SEDs), Security baselines, APIs, Policy implementation, i.e. Prisma, Terraform Sentinel, Google org policies.
  • Document risks, security and technology control requirements in scope for Gen AI use cases, AI/ML Operational readiness, Resiliency, Data management, Secure SDLC (SSDLC), security controls (example: IAM), Model risks, Third party risks, Regulatory compliance, etc.
  • Take direction from the controls team, and assist with design and implementation of controls, collaborate with other front-line technology and LOB stakeholders, including line-of-defense partners.
  • Document executive level presentation materials, present in team and exec level forums.
  • GCP certifications is a plus.
Requirements
  • 3-5 years of experience in GCP.