Manager, Data Operations

About McDonalds in India One 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 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 Accessibility Engineering Support Manager Data Operations Management As the Manager of Data Accessibility Engineering Support you will play a critical role in ensuring that enterprise data is secure discoverable and accessible for advanced analytics AI ML and operational use You will oversee the implementation and support of data governance tooling metadata management and access controls across cloud-native platforms This role is hands-on and strategicensuring compliance with organizational policies while enabling scalable data accessibility across GCP AWS Big Query Redshift and other modern data environments Who we are looking for PrimaryResponsibilities Data Accessibility Governance Enablement Lead the implementation and support of data accessibility solutions ensuring efficient access to governed and trusted data assets Oversee data governance tools and platforms e g Collibra for metadata management lineage and policy enforcement Manage and maintain technical metadata and data cataloging frameworks that support enterprise discoverability Cloud Platform Integration Design and implement data accessibility frameworks for GCP and AWS environments with a strong focus on Big Query Redshift and cloud-native storage layers GCS S3 Collaborate with cloud engineering and security teams to enforce fine-grained access controls and data classification AI ML Support Lifecycle Management Partner with AI ML teams to support model lifecycle management through reliable access to training and scoring datasets Ensure data quality and accessibility standards are embedded in MLOps workflows and pipelines Data Quality Policy Compliance Implement and monitor enterprise data quality frameworks to support regulatory compliance and business confidence Develop strategies for reconciliation validation and data forensics to resolve data inconsistencies Ensure alignment with organizational data usage policies privacy standards and auditability requirements Cross-Functional Collaboration Support Work closely with data stewards data engineers data scientists and compliance teams to continuously improve data operations Provide Tier 2 3 support for data accessibility and metadata-related issues Lead efforts to educate teams on data usage best practices standards and governance workflows Skill 6 to 10 years of experience in data operations data governance or data quality engineering roles Hands-on experience with Data governance platforms especially Collibra Cloud platforms Google Cloud Platform GCP Amazon Web Services AWS Data warehouses Big Query Redshift and or Snowflake SQL and enterprise-scale ETL ELT pipelines Metadata management cataloging and data lineage tracking AI ML data workflows and supporting structured unstructured data access for model training and inferencing Strong analytical and problem-solving skills in large-scale distributed data environments Familiarity with data security privacy regulations and compliance standards e g GDPR CCPA Excellent collaboration and communication skills across technical and non-technical teams Bachelors or masters degree in data science Information Systems Computer Science or a related field Preferred Experience Experience in Retail or QSR environments with complex multi-region data access needs Exposure to enterprise data catalogs automated data quality tooling and access request workflows Current GCP Associates or Professional Certification Work location Hyderabad India Work pattern Full time role Work mode Hybrid Additional Information McDonalds is committed to providing qualified individuals with disabilities with reasonable 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