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Sr. AI Governance Manager
Sr. AI Governance ManagerSoftware Technology Inc • Newark, NJ, United States
Sr. AI Governance Manager

Sr. AI Governance Manager

Software Technology Inc • Newark, NJ, United States
7 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Required Skills

  • Strong technical foundation with a deep understanding of AI.
  • Responsible AI governance knowledge is preferred; ethics and process can be learned.
  • Strategic mindset with operational execution capabilities.
  • Effective communicator who can educate and influence teams across the organization.

Day-to-Day Responsibilities

  • Own all MGS AI use cases and collaborate across all business segments.
  • Run the impact assessment process for every AI use case.

    • All use cases must go through this team via a defined intake process.

  • Each segment has its own contact who also assesses use cases.
  • Governance and education :

    • Conduct audits and ensure teams (use case owners, data analytics) understand governance.

  • Help identify and mitigate risks.
  • Leadership engagement :
  • Navigate leadership teams and present governance processes.
  • Participate in roadshows to promote AI governance across the company.
  • Responsible for ensuring ~150K employees understand the AI process.

    • Strategic Focus

  • Evolving governance model :

    • Based on Responsible AI frameworks (e.g., RAI governance from effem.com ).

  • Five main phases : pre-assessment, impact, etc.
  • The process is continuously evolving.
  • Expansion from GenAI to broader AI domains , including genetic AI.

    • Lower-risk use cases may be governed by individual segments.

    Business & Technical Context

  • Business breadth is crucial :

    • Must understand where use cases originate and be empowered to say no.

  • Needs to be senior and capable of making tough decisions.
  • Tech stack :

    • Primarily Azure / Microsoft.

  • Some teams are shifting toward Google (e.g., snacking).
  • Kellanova acquisition brings AWS into the mix.
  • Fast-paced, dynamic environment .
  • Tooling and architecture :

    • Governance tools are essential.

  • Use cases span multiple layers :
  • Middleware (possibly Max Teams).
  • Build / buy / existing SaaS vendors.
  • Platforms like SAP with add-on widgets that require assessment.
  • Must understand both platform architecture and how AI integrates across layers.

    • Required Skills :

    Basic Qualification :

    Additional Skills :

    This is a high PRIORITY requisition. This is a PROACTIVE requisition

    Background Check : No

    Drug Screen : No

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