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The PAIR (Privacy, AI & Data Responsibility) program provides trusted, consistent assurance to customers and partners on how we govern data, privacy, and AI. As a PAIR Assurance Specialist, you will be the program’s general Point of contact for standard external diligence requests—coordinating responses using approved control narratives and evidence—while capturing insights that improve our knowledge base and reduce friction over time.
Job Responsibility:
Triage, track, and respond to standard customer and third-party diligence inquiries using approved PAIR narratives, FAQs, and evidence
escalate novel or complex items to SMEs
Maintain and evolve knowledge assets for external assurance (curated FAQs, standardized responses, evidence packets, and control summaries) to remain current and consistent
Assemble high-quality evidence packages (policies, attestations, diagrams, and control testing results) aligned to approved materials and release guidelines
Coordinate cross-functionally to gather clarifications, schedule diligence calls, and ensure timely, accurate responses
Manage SLAs in CRM/ticketing tools
maintain complete, audit-ready records and status communications for stakeholders
Surface recurring themes and content gaps to the Document Governance team
propose improvements that increase reuse, clarity, and responsiveness
Support reporting on volumes, SLA performance, common topics, and evidence utilization
recommend standardization and efficiency opportunities
Requirements:
Clear, customer-friendly communicator who can convey complex control concepts in plain language and tailor responses to audience needs
Familiarity with assurance and controls concepts (e.g., privacy/AI governance basics
ISO/SOC/NIST frameworks) and how narratives map to evidence
Detail orientation in recordkeeping and packaging of evidence
comfortable operating CRM/ticketing and GRC tools
Collaborative teammate with service mindset—able to coordinate across functions and keep stakeholders informed to meet SLAs
Curious and improvement-oriented—spots patterns in inquiries and helps evolve our knowledge assets to reduce repeat friction