Job Description

About McDonalds in IndiaOne of the worldxe2x80x99s largest employers with locations in more than 100 countries McDonaldxe2x80x99s 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 Lead:(Sr Manager, Data Operations & Management_G5_EDAA0488_EDAA0489)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 were 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:

• 8+ 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, IndiaWork hours: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.

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