{"id":4172583,"url":"https://alion.io/job/mcdonalds-sr-manager-data-operations-management-2","title":"Sr Manager, Data Operations & Management","company":{"id":678125,"name":"McDonald's","domain":"mcdonalds.com","url":"https://alion.io/company/mcdonalds-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":90,"open_postings":11,"ghost_share":0,"stale_share":0.364,"repost_share":0.091,"time_to_fill_p50_days":23,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":11,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SonarQube","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-11T08:30:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T15:08:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About McDonald’s:\nOne of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.\nPosition Overview\nPosition Summary:\nAI/ML Platform Lead\nWe are seeking an experienced AI & ML Platform Lead to drive the strategy, architecture, engineering, and enablement of enterprise AI/ML platform capabilities on Google Cloud Platform. This role is responsible for building and managing scalable AI/ML platform services, governance controls, development standards, self-service capabilities, and platform automation that enable Data Science and AI/ML Operations teams to rapidly build, deploy, and manage AI solutions securely and efficiently.\nKey Responsibilities\nPlatform Strategy & Architecture\nDefine and drive the AI/ML platform strategy, roadmap, and architecture.\nDesign scalable, secure, and reusable platform capabilities on GCP and Vertex AI.\nEstablish platform standards, reference architectures, and engineering best practices.\nEvaluate and adopt emerging AI platform technologies.\nAI/ML Platform Engineering\nBuild and manage core AI/ML platform services, frameworks, and shared capabilities.\nDevelop reusable templates, accelerators, and automation solutions.\nEnable standardized development and deployment patterns across AI teams.\nEnsure platform scalability, reliability, and maintainability.\nPlatform Governance & Controls\nDefine platform governance, onboarding standards, and guardrails.\nImplement security, access management, compliance, and audit controls.\nEstablish governance for AI agents, models, APIs, and platform services.\nPartner with Enterprise Architecture, Security, Risk, and Legal teams.\nSelf-Service & Enablement\nDeliver self-service capabilities for AI engineers and data scientists.\nCreate platform standards, documentation, and reusable assets.\nDrive platform adoption and improve developer experience.\nPromote consistent engineering practices across AI initiatives.\nPlatform Observability & Reliability\nEstablish platform monitoring, logging, alerting, and operational dashboards.\nDrive reliability, resilience, performance, and capacity planning.\nDefine platform SLAs, SLOs, and operational readiness standards.\nPartner with AI/ML Operations for production support readiness.\nLeadership & Stakeholder Management\nLead AI/ML platform engineering initiatives and roadmap execution.\nMentor engineers and foster platform engineering best practices.\nCollaborate with Data, AI, Security, Infrastructure, and Operations teams.\nCommunicate platform strategy, progress, risks, and outcomes to leadership.\nRequired Qualifications\n11+ years of experience in AI/ML Platform Engineering, Cloud Platform Engineering, or Data & AI Platform development, preferably on GCP. \nStrong expertise in Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Run, IAM, Networking, and related platform services.\n5+ years of experience designing, building, and managing enterprise-scale AI/ML platform capabilities, reusable services, and self-service enablement frameworks. \nExperience implementing platform automation, Infrastructure as Code (Terraform preferred), CI/CD frameworks, and engineering standards for cloud-native platforms.\nStrong experience with source code management, code quality, and engineering best practices using GitHub, GitHub Actions, pytest, SonarQube, or similar tools. \nExperience developing platform services and integrations using Python and APIs.\nHands-on experience with AI/ML platform services such as Vertex AI Workbench, Model Registry, Feature Store, Vector Search, Generative AI services, and platform enablement capabilities.\nExperience with workflow orchestration and automation platforms such as Astronomer, Airflow, or similar technologies.\nStrong knowledge of containerization and cloud-native technologies, including Docker, Kubernetes, and serverless architectures. \nExperience establishing platform governance, access management, security controls, auditability, and compliance standards for AI/ML platforms.\nUnderstanding of AI governance, responsible AI principles, and agent lifecycle governance, including onboarding, access management, deployment controls, and observability requirements.\nExperience building reusable templates, accelerators, developer tooling, and self-service capabilities to improve platform adoption and engineering productivity.\nStrong understanding of platform reliability, observability, scalability, availability, and operational readiness.\nExcellent stakeholder management and communication skills, with the ability to collaborate effectively across Data Engineering, Data Science, Security, Infrastructure, Architecture, and business teams.\nWhy Join Us:\nWork with a mission-driven team building cutting-edge technology. Be part of a collaborative, inclusive, and growth-oriented culture.\nWork location: Hyderabad, India\nWork hours: Regular\nWork pattern: Full time role.\nWork mode: Hybrid.\nMcDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. 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