209 Operations Management jobs in Hyderabad

We are seeking a highly skilled Refinery Operations Management Consultant to support clients in driving operational excellence, digital transformation, and performance improvement across refining operations. The ideal candidate will possess deep industry knowledge, hands-on experience in refinery processes, and the ability to lead strategic initiatives that enhance safety, reliability, margin, and efficiency.

Key Responsibilities:

• Assess current refinery operations, workflows, and KPIs to identify performance gaps and improvement opportunities
• Lead initiatives focused on production optimization, energy efficiency, turnaround planning, margin improvement, and reliability.
• Propose innovative solutions for operations management leveraging the latest industry trends and technologies.
• Facilitate collaborative workshops with client teams to gather requirements, assess solution feasibility, and define implementation roadmaps aligned with enterprise digital strategies
• Design and implement operations management solution including Operations Logbook, Task Management, Digital Operating Procedures, Operating Instructions, Digital Troubleshooting.
• Lead /Support end-to-end implementation of digital tools such as Operations Management Suite, Manufacturing Execution Systems (MES), Digital Operating Procedures (DOPs), and performance dashboards from requirements gatherings to deployment.
• Provide post implementation support, including troubleshooting and system optimization.
• Work closely with senior leadership, and functional teams to define performance objectives and accountability structures.

Qualifications and Skills:

• Bachelor’s or master’s degree in chemical engineering, or equivalent
• 4 to 7 years of experience in refinery operations or operations consulting
• Proven experience in facilitating cross-functional collaboration and managing stakeholder expectations.
• Strong understanding of operating procedures, task management, and logbook compliance in process industries.
• Working knowledge of Operations Management Suites such as: Honeywell Forge OM, AVEVA Production management, Yokogawa OMS.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Familiarity with advanced technologies such as AI/ML for predictive analytics.

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 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 strategic—ensuring compliance with organizational policies while enabling scalable data accessibility across GCP, AWS, BigQuery, Redshift, and other modern data environments.

Who we are looking for:

Primary Responsibilities:

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 BigQuery, 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: BigQuery, Redshift (and / or Snowflake)
• 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.
• Bachelor’s or Master’s 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:

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 hours:

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable(LG1) 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 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 strategic—ensuring compliance with organizational policies while enabling scalable data accessibility across GCP, AWS, BigQuery, Redshift, and other modern data environments.

Who we are looking for:

Primary Responsibilities:

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 BigQuery, 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: BigQuery, Redshift (and / or Snowflake)
• 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.
• Bachelor’s or Master’s 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:

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 hours:

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable(LG1) 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 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:

Primary Responsibilities:

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.
• Bachelor’s or Master’s 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:

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.