15h Left Supervisor, 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 - Supervisor Data Operations Management As the Data Accessibility Lead you will drive the enterprise-wide strategy for enabling secure governed and scalable access to data for AI ML analytics and business operations You will lead cross-functional teams responsible for managing data lifecycle enforcing data quality standards and implementing modern governance tooling such as Collibra This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS including BigQuery Redshift and other core data infrastructure Who we are looking for PrimaryResponsibilities Strategic Data Accessibility Leadership Set the strategic direction for enterprise data accessibility ensuring consistent and secure access across teams and platforms Lead the implementation and adoption of data governance tools e g Collibra to manage metadata lineage and data policies Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use AI ML Enablement Oversee the availability quality and governance of data used for AI ML model development and lifecycle management Ensure that model training validation and deployment pipelines have reliable and timely access to governed datasets Partner with MLOps engineering and product teams to embed data accessibility standards in model workflows Cloud Platform Integration Oversee data accessibility initiatives in GCP and AWS including integration with BigQuery Redshift and cloud-native storage Develop strategies for managing access controls encryption and auditability of data assets across cloud environments Data Governance Quality Oversight Define and enforce enterprise data quality standards including data profiling validation and exception handling workflows Ensure compliance with internal data policies and external regulations e g GDPR HIPAA CCPA Lead enterprise initiatives around data lifecycle management from ingestion and processing to archival and retention Cross-Functional Collaboration Leadership Lead and mentor a team of data operations professionals and collaborate with data engineering governance AI ML and compliance teams Provide executive-level insights and recommendations for improving enterprise data accessibility quality and governance practices Drive alignment between business units technical teams and compliance functions through effective data stewardship Skill 4 to 7 years of experience in data operations data governance or data quality management with at least 3 years in a strategic leadership capacity Strong hands-on and strategic experience with Collibra or similar data governance platforms Cloud platforms Google Cloud Platform GCP Amazon Web Services AWS Enterprise data warehouses such as Big Query Redshift or Snowflake AI ML model lifecycle support and MLOps integration Data quality frameworks metadata management and data access policy enforcement SQL Strong analytical and problem-solving skills ability to work across highly matrixed global organizations Exceptional communication leadership and stakeholder management skills Bachelors or Masters degree in Data Science Information Systems or a related field Preferred Experience Experience in Retail or Quick Service Restaurant QSR environments with operational and real-time analytics needs Familiarity with data mesh concepts data product ownership and domain-based accessibility strategies Experience navigating privacy residency or regulatory compliance in global data environments 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