Yum! Center for Global Franchise Excellence logo
Yum! Center for Global Franchise Excellence

Empowering communities to create and sustain generational wealth through franchising.

Product Owner

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

Not specified

Seniority

Senior

Bachelor Degree5 yrs expEnglish

Job Description

• Define multi-year Purview capability roadmap aligned to enterprise compliance objectives. • Architect auto-labeling solutions using trainable classifiers, sensitive info types, and adaptive scopes. • Design and implement automated retention policies and defensible disposition workflows. • Deploy tiered DLP policies across M365 and endpoints; integrate Insider Risk Management controls. • Integrate telemetry into Microsoft Sentinel or similar SIEM systems and automate policy lifecycle via PowerShell and Graph API. • Establish governance, change management, and stakeholder engagement processes for compliance controls. • Monitor new Microsoft Purview features monthly, specifically assessing their relevance to YUM’s M365 tenant in alignment with data protection policies. • Implement purview features across M365 including Fabric components. • Develop and implement Purview controls to govern AI usage globally, ensuring sensitive data is protected and reducing risk of data exfiltration or overexposure in AI workflows.

Job Requirements

  • 5+ years of experience in Microsoft 365 Security & Compliance, with 3+ years focused on Purview capabilities.
  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • Expertise in Information Protection, Data Lifecycle Management, DLP (including Endpoint DLP), and Insider Risk Management.
  • Proficiency with Microsoft Entra ID RBAC/PIM, Graph API, PowerShell automation, and SIEM integrations.
  • Strong understanding of compliance boundaries, multi-geo architecture, and regulatory frameworks (GDPR, HIPAA, PCI).
  • Experience designing controls for AI usage, including governance for sensitive data in AI models and mitigating risks of data leakage or overexposure.
  • Key Competencies:
  • Enterprise architecture and technical leadership.
  • Risk-based decision making and governance maturity.
  • Stakeholder engagement and executive communication.
  • Change management and adoption strategy.
  • Automation and integration mindset (PowerShell, Graph, CI/CD).
  • Awareness of AI compliance and data protection strategies.

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