Note: The job is a remote job and is open to candidates in USA. Crystal Equation Corporation is seeking a Privacy Consultant who will act as a liaison between Cloud Foundation Safeguard Owners and the Privacy Organization. The role involves managing privacy compliance, documentation processes, and automated monitoring for cloud safeguards while utilizing AI-driven tools to enhance operational efficiency.
Responsibilities
- Serve as first line of support for CCSG inquiries from the team's Privacy Organization
- Respond to AET cases by preparing population requests and sample evidence
- Support SVT assessments, mapping KCIs to legacy test cases and rationalizing how they serve as evidence
- Validate logic at the code level and explain changes in KCI numbers to assessors
- Coordinate with SGOs to answer assessor questions and obtain required approvals
- Investigate and resolve KCI Red Alerts within resolution time limits
- Refine and optimize production KCIs to minimize false alerts
- Write and debug KCI queries (SQL/Presto) for evidence gathering
- Document KCI logic and maintain alignment with safeguard changes
- Maintain and update comprehensive CCSG runbooks with cycle insights
- Manage internal and external (assessor-facing) CCSG documentation
- Produce and quality control CCSG evidence for assessor inquiries
- Identify and resolve discrepancies between documentation and SG code
- Train AI agents on CCSG runbooks to assist with assessor inquiry responses
- Build automated systems to monitor code changes (diffs) affecting safeguard code files
- Create AI-driven workflows to transform internal documentation into external-facing compliance documents
- Identify opportunities to reduce manual workload through automation
Skills
- Strong understanding of privacy compliance frameworks and controls
- Proficiency in SQL for writing and debugging queries
- Technical understanding of cloud systems (e.g., AWS), code review, and automation tools
- Ability to read and interpret source code to validate safeguard implementations
- Ability to quickly learn all proprietary tooling
- Experience working with AI/ML tools for document analysis and content generation (e.g., ChatGPT, Claude, Gemini, Copilot)
- Ability to design and implement automated pipelines
- Understanding of prompt engineering for AI agents
- Experience with documentation and evidence collection processes
- Strong attention to detail and quality control
- Ability to translate technical code into clear descriptive language
- Query Languages: SQL, Presto
- AI Tools: Google Gemini, Claude, NotebookLM
- Workflow Automation: n8n
- APIs: GraphQL
- Documentation: Google Docs
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