• Analyzes quantitative and qualitative data as necessary throughout the course of the project, including the development of data collection strategies• Coordinates and prepares a wide range of logistic support throughout project, including: meeting set-up, material compilation, training front line staff on workflow changes/new technology, partnering with vendors on timely completion of key deliverables• Creates and maintains data dashboards and PowerPoint presentations that provide up to date results of project progress for project manager, team, and VP Sponsors• Creates process maps to display current state and future state workflows• Maintains established reporting structures and project metrics to ensure sustained project results.• Serves as a resource to identify and research best practices, benchmarking data and other supporting documentation for various healthcare related topics; Brainstorms with managers throughout course of project• Trains managers and operational staff to utilize data tools and other tools and needed• Supports project teams in structuring work and maintaining timeline and agreed upon key deliverables• Support rebuild and governance of Knowledge Base system guidelines and resources for operational teams within Stanford Health Care

• Assisted in development of roadmap and implementation of AI Machine Learning into business process• Responsible for gathering business requirements for client Data Privacy Tooling vertical• Gave a critical read on performance of detection model as part of Model Measurement Study for Data Privacy Tool before full-scale deployment• Managed and coordinated stakeholder engagement with engineers regarding translation of technical requirements to business team• Created documentation and updated respective templates, tools, and systems • Formulate responses to privacy compliance requests within SLA, perform data quality reviews, and conduct operational effectiveness testing against Meta internal privacy safeguards• Support requests, action plans, change management, information requests, sample evidence• Recommend process improvements and strategic initiatives as related to privacy compliance response

• Support review of new products and features to ensure compliance with prohibited content policies• Triage high profile and/or time-sensitive internal escalations• Support global vendor teams with operational support and policy/business process updates• Managed development of reporting workflows by creating documentation, including the escalation process, for new platform features such as Polls, Q&As, and Video Content Moderation• Partnered with legal and cross-functional stakeholders to improve policy playbooks, enforcement workflows, and tooling enhancements.• Gather feedback from operations teams for opportunities to clarify policies and/or enforcement guidance• Supported actioning of Child Safety content and reported necessary violations to NCMEC, Law Enforcement, and legal team• Collaborate to plan, manage, and implement incubation projects (e.g., tool testing, policy incubation, and product training efforts)

• Generated weekly quality reports for 50+ Trust & Safety incidents as direct report to the Quality Reporting Manager• Use of internal tools to identify trends, quality gaps, and recommend reporting improvements • Partnered with all cross functional verticals, law enforcement, and client teams to investigate and resolve Tier 1 high-priority global trust and safety incidents such as Child Safety, Fraud, Harm, & other malicious behavior; Triaged high-priority Child Safety violation content to NCMEC and Law Enforcement• Audited Trust & Safety team member investigations and resolved issues related to reported content to support Meta’s safety agreements and policies• Led weekly client team meetings to ensure client team was up to date with policy changes, trends, and calibrations in effort to elevate productivity, policy comprehension, and implementation• Onboarding training delivery for new hires to develop skills and maintain queue/task workflow standards• Help discovery of inappropriate content by using internal data, open-source information, and third-party databases

*promoted to Subject Matter Expert (SME)/ Quality Analyst (QA)