Manager, Data Operations & Management

About McDonalds: One of the worlds largest employers with locations in more than 100 countries, McDonalds 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.? Position Summary: Data Governance Tooling & Lifecycle Mgmt Engineering Support: (Manager, Data Operations & Management_G4_ EDAA0490_EDAA0491) As the Manager of Data Governance Tooling & Lifecycle Management Engineering Support, you will play a key role in implementing, maintaining, and optimizing enterprise data governance tools and lifecycle automation processes. This hands-on role supports metadata management, policy execution, and data lifecycle tracking across cloud-native platforms including Google Cloud (BigQuery) and AWS (Redshift). Youll work closely with governance, engineering, and compliance teams to ensure data is cataloged, classified, accessible, and managed throughout its lifecycle. Who were looking for: PrimaryResponsibilities: Governance Tooling Implementation & Support Implement and manage data governance platforms such as Collibra , including configuration, workflow automation, integrations, and user management. Maintain metadata harvesting, classification, and cataloging across cloud environments. Ensure accurate population of business and technical metadata, including lineage and stewardship assignments. Lifecycle Management Automation Engineer and support lifecycle governance for data assetsfrom creation to archivalacross GCP and AWS. Develop automation scripts and pipelines to enforce data retention, purging, and archival policies. Collaborate with infrastructure teams to apply lifecycle rules across storage and warehouse systems. Metadata & Integration Enablement Integrate governance tooling with cloud-native platforms like Big Query , Redshift , GCS , and S3 to maintain real-time visibility into data usage and quality. Support lineage capture across pipelines and systems, including orchestration tools (e.g., Airflow, Cloud Composer). Align metadata models with organizational taxonomy and business glossaries. Policy Execution & Compliance Support Implement automated policy rules related to data classification, access control, and privacy. Ensure tooling compliance with internal governance standards and external regulatory requirements (e.g., GDPR, HIPAA, CCPA). Support audit processes by maintaining accurate lineage, ownership, and policy enforcement records. Collaboration & Documentation Work with data stewards, engineers, and architects to support governance onboarding and issue resolution. Maintain documentation and training materials for platform users and governance workflows. Provide insights and recommendations for tooling improvements and scaling support across domains. Skill: 5 years of experience in data governance engineering , metadata management , or platform operations roles. Strong hands-on experience with: Data governance platforms (e.g., Collibra , Alation, Informatica) Cloud data platforms : GCP (Big Query, GCS) / AWS (Redshift, S3) SQL and Python for metadata extraction, pipeline integration, and automation API integrations between governance tools and cloud platforms Knowledge of data classification frameworks, retention policies, and regulatory compliance standards. Bachelors degree in Computer Science, Data Management, Information Systems, or a related field. Preferred Experience: Experience supporting Retail or QSR data environments with complex, multi-market governance needs. Exposure to CI/CD processes , Terraform/IaC , or cloud-native infrastructure tooling for lifecycle governance automation. Familiarity with data mesh concepts and distributed stewardship operating models. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonalds is committed to providing qualified individuals with disabilities with reasonable [LG1] accommodations to perform the essential functions of their jobs. McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonalds Capability Center India Private Limited (McDonalds in India) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonalds in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonalds in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Location: hyderabad, IN

Posted Date: 6/12/2025