497 Operations Management jobs in Hyderabad

• Develop and execute comprehensive operational strategies to enhance efficiency, productivity, and profitability.
• Oversee the day-to-day management of various operational departments, ensuring seamless integration and performance.
• Establish key performance indicators (KPIs) and metrics to monitor operational effectiveness and drive continuous improvement.
• Lead and mentor a team of operations managers and staff, fostering a high-performance culture.
• Identify opportunities for process optimization, automation, and cost reduction.
• Develop and manage operational budgets, ensuring fiscal responsibility.
• Implement and maintain robust quality assurance programs and compliance standards.
• Collaborate with senior leadership across different functions to align operational goals with overall business strategy.
• Manage vendor relationships and negotiate contracts to secure favorable terms.
• Oversee the implementation of new operational technologies and systems.
• Develop and execute risk management strategies to mitigate operational disruptions.
• Ensure effective resource allocation and workforce planning.
• Drive a culture of innovation and continuous learning within the operations teams.
• Communicate operational updates and performance reports to executive stakeholders.

• Master's degree in Business Administration, Operations Management, or a related field.
• Minimum of 10 years of progressive experience in operations management, with at least 5 years in a senior leadership role.
• Proven track record of successfully leading and scaling operations in a dynamic environment.
• Extensive experience in process improvement methodologies (e.g., Lean, Six Sigma).
• Strong financial acumen and experience in budget management.
• Exceptional leadership, strategic thinking, and problem-solving skills.
• Excellent communication, negotiation, and interpersonal abilities.
• Demonstrated experience in managing remote teams and distributed operations.
• Proficiency in operational management software and analytics tools.
• Ability to drive change management initiatives effectively.
• Experience in the (Specify Industry, e.g., E-commerce, SaaS, Manufacturing) sector is a significant advantage.

• Conducting comprehensive operational assessments and business process analyses.
• Identifying opportunities for process improvement, cost reduction, and efficiency gains.
• Developing and implementing strategic operational plans and solutions.
• Designing and deploying performance management frameworks and KPIs.
• Leading client engagements and managing project teams.
• Facilitating change management initiatives and stakeholder alignment.
• Providing expert advice on supply chain optimization and logistics.
• Utilizing data analytics to drive operational decision-making.
• Presenting findings and recommendations to senior leadership.

About McDonald’s:

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.

Position Summary:

Data Quality Engineering Support: (Manager, Data Operations & Management)

As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.

Who we are looking for:

Primary Responsibilities:

Data Quality Engineering & Monitoring:

• Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
• Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
• Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).

Data Quality Operations:

• Respond to and resolve data quality incidents and discrepancies across data domains and systems.
• Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
• Establish SLAs and alerting thresholds for data quality KPIs.
• Cloud Platform Integration
• Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
• Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.

Governance Alignment:

• Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
• Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
• Documentation, Enablement & Collaboration
• Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
• Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
• Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.

Skill:

• 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.

Hands-on expertise in:

• Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
• SQL and Python for quality validation and automation
• Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
• Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
• Strong troubleshooting skills across distributed data systems and pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

Preferred Experience:

• Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
• Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
• Exposure to AI/ML data pipelines and the impact of data quality on model performance.
• Current GCP Associates (or Professional) Certification.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.

About McDonald’s:

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.

Position Summary:

Data Quality Engineering Support: (Manager, Data Operations & Management)

As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.

Who we are looking for:

Primary Responsibilities:

Data Quality Engineering & Monitoring:

• Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
• Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
• Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).

Data Quality Operations:

• Respond to and resolve data quality incidents and discrepancies across data domains and systems.
• Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
• Establish SLAs and alerting thresholds for data quality KPIs.
• Cloud Platform Integration
• Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
• Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.

Governance Alignment:

• Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
• Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
• Documentation, Enablement & Collaboration
• Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
• Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
• Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.

Skill:

• 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.

Hands-on expertise in:

• Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
• SQL and Python for quality validation and automation
• Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
• Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
• Strong troubleshooting skills across distributed data systems and pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

Preferred Experience:

• Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
• Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
• Exposure to AI/ML data pipelines and the impact of data quality on model performance.
• Current GCP Associates (or Professional) Certification.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.

About McDonald’s:

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.

Position Summary:

Data Quality Engineering Support: (Manager, Data Operations & Management)

As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.

Who we are looking for:

Primary Responsibilities:

Data Quality Engineering & Monitoring:

• Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
• Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
• Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).

Data Quality Operations:

• Respond to and resolve data quality incidents and discrepancies across data domains and systems.
• Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
• Establish SLAs and alerting thresholds for data quality KPIs.
• Cloud Platform Integration
• Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
• Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.

Governance Alignment:

• Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
• Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
• Documentation, Enablement & Collaboration
• Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
• Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
• Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.

Skill:

• 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.

Hands-on expertise in:

• Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
• SQL and Python for quality validation and automation
• Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
• Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
• Strong troubleshooting skills across distributed data systems and pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

Preferred Experience:

• Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
• Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
• Exposure to AI/ML data pipelines and the impact of data quality on model performance.
• Current GCP Associates (or Professional) Certification.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.

About McDonald’s:

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.

Position Summary:

Data Quality Engineering Support: (Manager, Data Operations & Management)

As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.

Who we are looking for:

Primary Responsibilities:

Data Quality Engineering & Monitoring:

• Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
• Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
• Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).

Data Quality Operations:

• Respond to and resolve data quality incidents and discrepancies across data domains and systems.
• Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
• Establish SLAs and alerting thresholds for data quality KPIs.
• Cloud Platform Integration
• Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
• Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.

Governance Alignment:

• Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
• Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
• Documentation, Enablement & Collaboration
• Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
• Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
• Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.

Skill:

• 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.

Hands-on expertise in:

• Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
• SQL and Python for quality validation and automation
• Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
• Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
• Strong troubleshooting skills across distributed data systems and pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

Preferred Experience:

• Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
• Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
• Exposure to AI/ML data pipelines and the impact of data quality on model performance.
• Current GCP Associates (or Professional) Certification.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.

About McDonald’s:

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.

Position Summary:

Data Governance Tooling & Lifecycle Mgmt. Engineering Support: (Supervisor, Data Operations & Management)

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). You’ll work closely with governance, engineering, and compliance teams to ensure data is cataloged, classified, accessible, and managed throughout its lifecycle.

Who we are looking for:

Primary Responsibilities:

• 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 assets—from creation to archival—across 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:

• 3 to 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.
• Bachelor’s 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 pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.

About McDonald’s:

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.

Position Summary:

Data Governance Tooling & Lifecycle Mgmt. Engineering Support: (Supervisor, Data Operations & Management)

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). You’ll work closely with governance, engineering, and compliance teams to ensure data is cataloged, classified, accessible, and managed throughout its lifecycle.

Who we are looking for:

Primary Responsibilities:

• 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 assets—from creation to archival—across 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:

• 3 to 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.
• Bachelor’s 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 pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s 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. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s 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.