Manager, Data Governance

McDonald’s Corporation

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Hyderabad, Telangana, India
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $190k
$141k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $161,510–$218,500.

Based on 240 similar postings.

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About McDonald’s Corporation

McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.

McDonald’s Corporation currently has 43 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 26 roles with salary data.

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At a glance

TL;DR · Manager, Data Governance

Manager, Data Governance joins the Responsible AI team to bridge the gap between governance strategy and technical execution. This role focuses on translating requirements into practical processes, platform capabilities, and operational workflows while ensuring AI assets are governed consistently across the enterprise. Key responsibilities include owning the AI Governance platform, managing inventory for models and agents, and leading technical integrations with systems like Vertex AI. The candidate will collaborate with Data Science, Security, Legal, and Engineering teams to align governance controls and manage lifecycle capabilities. Required expertise includes metadata management, API integration, and experience with platforms such as Collibra or Informatica. Technical proficiency in cloud environments like Google Cloud Platform, Azure, or AWS is essential. The role addresses the challenge of scaling responsible AI programs while managing risks within complex machine learning ecosystems.

What you'll do

  • Manage the day-to-day operations and enhancements of the AI Governance platform workflows and automations.
  • Maintain and manage the AI Use Case Registry, Model Inventory, and Agentic Inventory.
  • Lead technical integrations between governance platforms and enterprise AI/ML ecosystems like Vertex AI.
  • Define governance requirements, inventory processes, and guardrails for enterprise agentic platforms like Gemini and Copilot.
  • Translate complex legal and risk requirements into practical technical processes and platform capabilities.
  • Align governance processes and controls across cross-functional teams including Legal, Security, Data Science, and Engineering.
  • Oversee the lifecycle management of AI assets to ensure consistent governance across the enterprise.

What we're looking for

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
  • 8+ years of experience in AI governance, model governance, or Responsible AI programs (or via strong data governance foundations).
  • Experience implementing or operating data and AI governance platforms including platform integrations, APIs, and metadata ingestion solutions.
  • Strong understanding of enterprise metadata management and inventory management concepts.
  • Experience working with cloud platforms such as Google Cloud Platform, Azure, or AWS.
  • Experience working with AI, machine learning, advanced analytics, or data science teams.
  • Experience designing or improving enterprise governance processes.
  • Strong analytical, program management, and stakeholder management skills to work across business, risk, and technical teams.
  • Hands-on experience with Collibra (preferred).
  • Experience with Vertex AI, Databricks, Azure AI, MLflow, or similar AI/ML ecosystems (preferred).
  • Knowledge of AI regulations and frameworks such as EU AI Act, NIST AI RMF, or ISO 42001 (preferred).
  • Familiarity with agent-based AI and enterprise AI assistant ecosystems like Gemini or Copilot (preferred).
  • Experience working within enterprise risk, governance, compliance, or control environments (preferred).
  • Deep knowledge of software development lifecycle, DevOps, and MLOps concepts (preferred).

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