RESUME CHANGELOG - job_id target: 00033 Generated: 2026-08-05 21:18 UTC Role: SVP-Technology & AI Risk Management at Moody's Corporation Location: New York, New York, United States Base CV variant: Lucian_Lipinsky_CV__JPMC__2026.docx Tailoring engine: claude Quality review: ALL PASSES APPROVED KEYWORDS INJECTED - second-line risk oversight - technology risk - third-party technology risk - IT resilience - regulatory engagement - risk governance frameworks - AI-driven threat detection SECTIONS / JOB HISTORY REORDERED - requested order: American Express, Citigroup, Franklin Templeton Investments, QuSecure, Citihub, Deloitte Consulting - note: recommended order recorded in changelog; not auto-applied to the docx (in-place reordering risks scrambling entries) BULLETS REWRITTEN FOR THIS ROLE - 7 rewritten in place, 0 could not be matched * FROM: Senior cyber risk leader within Citi’s Second Line of Defense providing independ TO: Senior technology risk leader within Citi's Second Line of Defense, providing independent challenge and oversight across * FROM: Lead global cyber risk oversight for data protection, privacy, and identity secu TO: Lead global second-line risk oversight for data protection, privacy, and identity security across enterprise platforms, * FROM: Served as liaison with global regulators on cybersecurity posture, resilience, a TO: Served as liaison with global regulators on technology risk posture, resilience, and remediation strategy, representing * FROM: Reviewed and modernized cybersecurity policies, standards, and guidelines to mee TO: Reviewed and modernized technology risk policies, standards, and governance frameworks to meet evolving regulatory expec * FROM: Executive accountable for global cybersecurity and risk management across 45 cou TO: Executive accountable for global technology risk management and resilience across 45 countries supporting $1.7T AUM, bui * FROM: Advise senior executives on cyber risk exposure, control effectiveness, and prac TO: Advise senior executives on technology risk exposure, control effectiveness, and practical risk-reduction actions impact * FROM: Recognized for delivering advanced cybersecurity research on AI-driven threat de TO: Recognized for delivering advanced research on AI-driven threat detection to a non-technical audience in under three min ACCOMPLISHMENTS / METRICS EMPHASIZED - Reframed headline away from UHNW/family office advisory toward second-line technology risk oversight and regulatory engagement, which the CV directly supports. - Rewrote summary to foreground second-line risk experience at American Express and Citigroup and CISO-equivalent scale at Franklin Templeton, matching the SVP-level second-line mandate in the posting. - Rephrased bullets to use 'technology risk' and 'third-party technology risk' language instead of purely 'cyber risk' to mirror the posting's core risk domains. - Reordered experience to lead with the two active second-line risk roles (Amex, Citi) before the CISO-equivalent Franklin Templeton role, since the posting is a second-line oversight position. - Kept the AI reference limited to the Fordham 3MT bullet since the CV has no other explicit AI governance content, avoiding invented AI/agentic AI claims present only in the reference document. - Left UHNW/family office specific bullets unchanged and out of the headline since that framing does not fit an enterprise second-line technology and AI risk role. PROFESSIONAL HEADLINE - 3 tagline line(s) retargeted to this role * Senior technology & AI risk executive | financial services * Second-line risk oversight | cybersecurity, IT resilience & regulatory engagement * Identity, Data & AI Risk Governance | Executive Education PROFESSIONAL SUMMARY - rewritten to target this role 10-PASS QUALITY REVIEW Pass 1 Grammar APPROVED No grammar errors found; sentences well-formed throughout. Pass 2 Spelling APPROVED No misspellings detected in customized resume text. Pass 3 Formatting consistency APPROVED 1 font(s), 5 size(s), consistent bullets Pass 4 Logical layout APPROVED Section order mirrors base; logical, no orphaned sections. Pass 5 LLM-artifact detection APPROVED no em dashes or LLM filler phrases detected Pass 6 Job-description alignment APPROVED Uses 'technology risk', 'second-line', 'AI risk' naturally, matching posting. Pass 7 Accomplishments emphasis APPROVED Key metrics ($1.7T AUM, 45 countries) retained and visible, not buried. Pass 8 No fabrication APPROVED No new employer, title, metric, or date beyond base resume content. Pass 9 Consistency with base CV APPROVED Titles, dates, employers match base; no contradictions found. Pass 10 Human readability APPROVED Reads naturally as human-written, professional tone maintained.