Senior Manager, Data Operations & Management

McDonald’s Corporation

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

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How this pay compares to similar roles

Similar $191k
$143k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $162,900–$220,062.

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 · Senior Manager, Data Operations & Management

Sr Manager, Data Operations & Management will drive the strategy, architecture, engineering, and enablement of enterprise AI/ML platform capabilities on Google Cloud Platform. This role involves building and managing scalable platform services, governance controls, development standards, and automation to help Data Science and AI/ML Operations teams deploy solutions securely. The successful candidate will develop reusable templates, accelerators, and self-service tools while establishing monitoring, logging, and performance standards. Key technical requirements include expertise in GCP services like Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Run. Candidates must possess skills in Python, Terraform for Infrastructure as Code, CI/CD frameworks, and containerization technologies like Kubernetes and Docker. The role focuses on solving complex problems related to platform reliability, security compliance, and the lifecycle management of AI agents and models within a large-scale enterprise environment.

What you'll do

  • Define the strategy, roadmap, and architecture for enterprise AI/ML platform capabilities on Google Cloud Platform.
  • Build and manage scalable core services, frameworks, and automated tools for Data Science and MLOps teams.
  • Develop reusable templates, accelerators, and standardized deployment patterns to improve developer experience.
  • Implement security, access management, and compliance guardrails for AI models, agents, and platform services.
  • Create self-service capabilities and documentation to enable rapid development and adoption by internal engineers.
  • Establish monitoring, logging, alerting, and performance dashboards to ensure platform reliability and scalability.
  • Lead engineering initiatives and mentor team members on platform best practices and technical standards.

What we're looking for

  • 7-10+ years of experience in AI/ML Platform Engineering, Cloud Platform Engineering, or Data & AI Platform development (preferably on GCP).
  • 5+ years of experience designing, building, and managing enterprise-scale AI/ML platforms, reusable services, and self-service capabilities.
  • Expertise in GCP services including Vertex AI, BigQuery, Dataflow, Cloud Storage, Cloud Run, Cloud Functions, IAM, and Networking.
  • Proficiency in Python for developing platform services, APIs, automation frameworks, and integrations.
  • Experience with Infrastructure as Code (Terraform preferred), CI/CD frameworks, and cloud-native engineering practices.
  • Knowledge of containerization, Kubernetes, Docker, and serverless architectures.
  • Experience with workflow orchestration platforms such as Astronomer or Airflow.
  • Proficiency in DevSecOps practices using GitHub, GitHub Actions, pytest, SonarQube, or similar tools.

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