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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